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Summary of the 2024 NASA LCLUC Science Team Meeting

Introduction

The 2024 NASA Land-Cover and Land-Use Change (LCLUC) Science Team Meeting (STM) took place from April 2–4, 2024 at the Marriott Washingtonian Center in Gaithersburg, MD. During the meeting, 75 people attended in-person. Represented among the attendees were LCLUC project investigators and collaborators, NASA Headquarters (HQ) program managers, and university researchers and students – see Photo.

LCLUC is an interdisciplinary scientific program within NASA’s Earth Science program that aims to develop the capability for periodic global inventories of land use and land cover from space. The program’s goal is to develop the scientific understanding and models necessary to simulate the processes taking place and to evaluate the consequences of observed and predicted changes.

The LCLUC program’s focus is divided into three areas – impacts, monitoring, and synthesis. Each category constitutes about one-third of the program’s content. The LCLUC program is part of the Carbon Cycle and Ecosystems research area, alongside other programs, such as Terrestrial Ecosystems, Ocean Biology and Biogeochemistry, and Biodiversity.

Within NASA’s Earth Science Division (ESD), the LCLUC program collaborates with the Earth Science Technology Office (ESTO), the Earth Action Program element on Agriculture, and data initiatives, such as Harmonized Landsat Sentinel-2 (HLS), Observational Products for End-Users from Remote Sensing Analysis (OPERA), and the Commercial SmallSat Data Acquisition (CSDA) program. Externally, the program engages the U.S. Global Climate Research Program (USGCRP), U.S. Geological Survey (USGS), the U.S. Department of Agriculture (USDA), and the U.S. Forest Service (USFS). Internationally, the program collaborates with Global Observations of Forest Cover and Land-use Dynamics (GOFC-GOLD), the Group on Earth Observations (GEO), particularly Group on Earth Observations Global Agricultural Monitoring (GEOGLAM), the Global Land Program (GLP), as well as regional initiatives – e.g., the South and Southeast Asia Regional Initiative (SARI), and space agencies, including the European Space Agency (ESA), Japan Aerospace Exploration Agency (JAXA), Geo-Informatics and Space Technology Development Agency (GISTDA)–Thailand, Vietnam National Space Center (VNSC), and the Indian Space Research Organisation (ISRO).

Principal Investigators (PIs) who participate in LCLUC are required to provide free and open access to their data and products via their metadata pages, aligning with NASA’s Transform to Open Science (TOPS) initiative. The program organizes at least one international regional workshop and one domestic ST meeting each year to share LCLUC science and foster global collaborations, contributing to regional capacity-building as an added value. Additionally, the program hosts regular webinars led by PIs on topics such as agriculture, urban areas, land-use changes in conflict zones, and natural disaster hotspots (i.e., fires, droughts, and floods). Garik Gutman [NASA HQ—LCLUC Program Manager] presented updates on LCLUC research publications, journal special issues, and upcoming international meetings.

The remainder of this article summarizes the highlights of the 2024 LCLUC STM. The content is organized chronologically, with a section devoted to describing each day of the meeting and descriptive headers throughout. The full presentations from this meeting are available on the LCLUC meeting website.

LCLUC photo 1
Photo. A group picture of meeting participants on the first day of the 2024 LCLUC meeting in Gaithersburg, MD.
Photo credit: Hotel staff (Marriott Washingtonian Center, Gaithersburg, MD)

DAY ONE

The first day featured invited presentations, reports from LCLUC ST members funded through the LCLUC Research Opportunities in Space and Earth Sciences (ROSES) 2022 selections, and an overview of SARI. The day concluded with poster presentations and lightning talks highlighting recent results from ongoing LCLUC-related research.

Update from the LCLUC Program Manager

The meeting began with welcoming remarks from Garik Gutman, who provided an update on the program’s latest developments and achievements. He highlighted that the socioeconomic component is an integral part of most LCLUC projects. The program has recently expanded to include multisource land imaging, such as the ESA’s Copernicus Sentinel program, regional initiatives, and capacity-building efforts. He also underscored the importance of U.S. missions relevant to LCLUC, which produce spatially coarse resolution daily data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua and Terra platforms and the NASA–National Oceanic and Atmospheric Administration (NOAA) Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (Suomi NPP); spatially moderate resolution data every eight days from the NASA–USGS Landsat-8 (L8) and Landsat-9 (L9) satellites; and very high-resolution data from private companies, such as Planet Inc. and Maxar.

Gutman also discussed how LCLUC investigators are using data from missions on the International Space Station (ISS), e.g., ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS), Global Ecosystem Dynamics Investigation (GEDI), and Earth Surface Mineral Dust Source Investigation (EMIT). He noted the potential of radar observations from the recently launched international Surface Water and Ocean Topography (SWOT) mission – led by NASA and the Centre National d’Études Spatiales [French Space Agency] – and the upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission (planned for launch in 2025).

LCLUC in the Broader Context of NASA

Jack Kaye [ESD—Associate Director for Research] gave an update on ESD activities that reflected on NASA’s broad capabilities in Earth Science – emphasizing the agency’s unique role in both developing and utilizing cutting-edge technology. Unlike many other agencies, NASA’s scope spans technology development, research, data provision, and tool creation. Over the past 16 months, NASA has launched several significant missions, including SWOT, Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS), Tropospheric Emissions: Monitoring of Pollution (TEMPO), and Plankton, Aerosol, Cloud, ocean Ecosystem (PACE). This surge in satellite launches highlights NASA’s role in enhancing global observational capabilities. NASA also supports a diverse array of programs, including airborne campaigns and surface-based measurement networks. Initiatives aim to improve the involvement of minority-serving institutions and incorporate open science practices with a focus on enhancing inclusivity and expanding participation. The agency also emphasizes the importance of peer review and collaboration with international and community-based partners. Kaye highlighted NASA’s commitment to producing high-quality, actionable science while navigating financial and operational challenges. This commitment extends to addressing environmental and societal impacts through programs such as Earth Action and by fostering global collaboration.

Sid Ahmed Boukabara [ESD—Senior Program Scientist for Strategy] presented a detailed overview of NASA’s Earth Science to Action Strategy, which aims to increase the impact of Earth science in addressing global challenges. This strategy acknowledges the urgency of global changes, e.g., accelerating environmental shifts, understanding Earth’s interconnected systems, and developing scalable information. NASA’s mission focuses on observing and understanding the Earth system, delivering trusted information, and empowering resilience activities through advanced technologies, partnerships, and innovations. Key principles include amplifying impact through partnerships, engaging a diverse and inclusive workforce, balancing innovation with sustainability, encouraging cutting-edge capabilities, and ensuring robust and resilient processes. The strategy emphasizes collaboration across sectors and international partnerships to leverage Earth observations enhance the value of Earth science for decision-making and policy support. The strategy also highlights the role of land-cover and land-use change activities in supporting objectives and enhancing modeling capabilities.

Thomas Wagner [ESD—Associate Director for Earth Action] outlined NASA’s Earth Action initiative (formerly known as the Applications Program), which focuses on user-centered strategies to address global challenges, e.g., climate resilience, health, and ecological conservation. By integrating applied sciences and leveraging satellite data, the initiative aims to enhance Earth observation capabilities and connect scientific research with practical applications to meet societal needs. The strategy includes a virtuous cycle, where user feedback informs the development of future programs and missions, ensuring that research and technology are aligned with real-world needs. Additionally, Earth Action emphasizes public engagement by offering open-source models and data to enhance understanding and support decision making. Through multisector consortia and problem-solving teams, the initiative addresses urgent and broad-impact issues, fostering innovation and collaboration.

Updates from LCLUC PIs on 2022 ROSES Proposal Selections

Following the programmatic overview presentations, PIs presented updates on research results from LCLUC ROSES 2022 proposal selections. Gillian Galford [University of Vermont] presented on the socioeconomic and environmental dynamics of LCLUC in the Cerrado frontier of Brazil. She presented results from the three main objectives: developing LCLUC detection methods and datasets, characterizing major land-use transitions (LUTs), and understanding the drivers behind these transitions. The research employs remote-sensing and geostatistical methods to track changes, identify “hotspots” of activity, and understand the underlying motivations for land-use changes. The research aims to provide insights that can guide conservation efforts and promote sustainable land use in the region.

Gustavo Oliveira [Clark University] presented “Irrigation as Climate-Change Adaptation in the Cerrado Biome of Brazil.” This project aims to develop methods for analyzing LCLUC data and their socioeconomic impacts, examining the expansion of irrigated agriculture and creating models to inform policy on agrarian development and water regulations. Oliveira highlighted areas of significant deforestation and the rapid growth of irrigated agriculture in the study region – positioning Western Bahia as a model for irrigation in Brazil. He explained that the research outputs include software for time series analysis and publications on land change, contributing to the broader understanding of climate adaptation strategies in the region.

Grant Connette [Smithsonian Institution] presented “Can Improved Stakeholder Representation Prevent Human-caused Mangrove Loss in the Mesoamerican Reef Ecoregion?” He examined the factors contributing to mangrove loss in the Mesoamerican Reef (MAR) ecoregion. Through a combination of Earth observation data, socioeconomic analysis, and community engagement, Connette described how the study seeks to improve the effectiveness of protected areas and inform best practices for mangrove conservation in the MAR ecoregion.

Saurav Kumar [Arizona State University] presented his team’s work, “Exploring the Nexus between LCLUC, Socio-Economic Factors, and Water for a Vulnerable Arid U.S.–Mexico Transboundary Region.” Kumar explained that the project aims to understand how natural and human systems influence LCLUC when constrained by water availability. The data used in this project come from a combination of time series data, theoretical model output, and artificial intelligence techniques. The team also focuses on stakeholder engagement, recognizing the need for comprehensive identification and involvement in addressing complex water resource issues. Kumar explained that the study seeks to predict future LCLUC transitions, assess the theoretical models of different stakeholder groups, and identify policy-relevant leverage points for sustainable water management.

Abena Boatemaa Asare-Ansah [University of Maryland, College Park (UMD)] presented on “The Multisensor Mapping of Refugee Agricultural LCLUC Hotspots in Uganda.” She explained that this study focuses on mapping changes in cropland within refugee-hosting regions using satellite data and deep learning models. Asare-Ansah described how the first year involved evaluating existing cropland maps and initiating new classifications. Future work will refine these maps and connect cropland changes to specific refugee households, aiming to better understand the relationship between refugee populations, food aid, and agricultural practices.

Elsa Ordway [University of California, Los Angeles (UCLA)] discussed her team’s efforts toward “Disentangling Land-Use Change in Central Africa to Understand the Role of Local and Indigenous Communities in Forest Restoration and Conservation.” Ordway reported that the project focuses on mapping land cover and carbon emissions, analyzing the impact of conservation efforts, and exploring potential forest restoration opportunities. She emphasized that this research highlights the critical role of local indigenous communities in forest management and the unintended consequences of conservation projects on land use – see Photo 2.

LCLUC photo 2
Photo 2. Some residents of a village neighboring the Dja reserve – part of the dense rain forests that form Africa’s Congo Basin. Interviews and surveys among the area’s local and indigenous communities are used to gather information on forest restoration and conservation.
Photo credit: Else Ordway (UCLA)

Ordway also presented on the PAN-tropical investigation of BioGeochemistry and Ecological Adaptation (PANGEA), which aims to investigate the biogeochemistry and ecological adaptation of tropical forests that are crucial for global climate regulation and biodiversity. She explained that this study emphasizes the rapid changes occurring in tropical regions primarily due to deforestation and climate change. PANGEA seeks to answer key scientific questions about the vulnerability and resilience of these ecosystems, and how this information can inform climate adaptation, mitigation, and biodiversity conservation efforts.

The ARID Experiment

Andrew Feldman [NASA’s Goddard Space Flight Center (GSFC)] presented on the Adaptation and Response in Drylands (ARID) experiment, a field campaign focused on dryland ecosystems. He described how this project aims to understand the fundamental science of drylands, including water availability, land–atmosphere interactions, climate variability, carbon stocks, and land management. The study involves significant international collaboration and stakeholder engagement, with a particular focus on the Western U.S – see Figure 1. While this project is in planning stages, ongoing efforts will be made to engage with the scientific community, gather feedback, and refine its research themes.

LCLUC figure 1
Figure 1. The Adaptation and Response in Drylands (ARID) experiment focuses on studying the characteristics of dryland ecosystems, e.g., water availability, land–atmosphere interactions, climate variability, carbon stocks, and land management. While the experiment is global in scope, it has a focus on the Western U.S., with numerous site locations across the desert Southwest and some in the Pacific Northwest.
Figure credit: Andrew Feldman (NASA/UMD)

SARI Update and Related Projects

Krishna Vadrevu [NASA’s Marshall Space Flight Center] gave a comprehensive update on SARI, a regional initiative under the LCLUC program that addresses the critical needs of the South/Southeast Asia region by integrating remote sensing, natural sciences, engineering, and social sciences. His presentation covered the initiative’s background, various funded research projects, and their outputs. The diverse SARI projects include studies on forest degradation, agricultural transitions, food security, urbanization, and their environmental impacts. SARI has supported 35 research projects, engaging more than 400 scientists and over 200 institutions that result in significant scientific contributions, including nearly 450 publications, 16 special journal issues, and five books with two additional books pending publication. Vadrevu emphasized the importance of sustainable land use policies informed by LCLUC research and provided details on upcoming meetings. He concluded with information on three ongoing projects funded under the SARI synthesis solicitation – one in South Asia and two in Southeast Asia. Summaries of these projects are highlighted below.

David Skole [Michigan State University (MSU)] leads the SARI synthesis project that spans South Asian countries, with an emphasis on tree-based systems, particularly Trees Outside Forests (TOF). The primary objective is to synthesize existing research to better understand the patterns, drivers, and impacts of TOF on carbon emissions and removals and their role in supporting rural livelihoods. This research is crucial for informing climate change policy, particularly in the context of nature-based solutions and pathways to achieve net-zero emissions. The project combines empirical data with process-based research and policy models to support the development of sustainable landscapes. By integrating biophysical and socioeconomic data, the project team members aim to provide robust, evidence-based contributions to climate mitigation and adaptation strategies, ultimately guiding regional policy decisions.

Son Nghiem [NASA/Jet Propulsion Laboratory] discussed the interrelated dynamics of LCLUC and demographic changes in Southeast Asia under various developmental pressures and climate change. Nghiem explained that the study explores how these factors interact along the rural-to-urban continuum across regions in Cambodia, the Lao People’s Democratic Republic (Laos), Thailand, Vietnam, Malaysia, and parts of Indonesia. In rapidly urbanizing and agriculturally transitioning areas, physical and human feedback processes are becoming non-stationary, leading to unpredictable impacts that challenge traditional policymaking. The study aims to capture both physical patterns (e.g., land-use) and human (socioeconomic) fabrics, integrating these within a framework to assess whether the statistical properties of the time series measured during this study remain constant or change with time.

Peilei Fan [Tufts University] presented the project, “Decoding Land Transitions Across the Urban-Rural Continuums (URC): A Synthesis Study of Patterns, Drivers, and Socio-Environmental Impacts in Southeast Asia.” The project aims to synthesize knowledge through an interdisciplinary approach. It focuses on URCs in 19 cities across eight Southeast Asian countries. It investigates how global urban hierarchies, URC connectivity, and local policies influence land-use change and related ecosystem impacts. By integrating remote-sensing data with climate and ecological models and socioeconomic analysis, the project seeks to advance theoretical understanding of land transitions and provide valuable insights for both scientific research and policymaking.

Poster sessions

Following the presentations, participants gave lightning talks linked to 17 posters, which highlighted recent results from ongoing LCLUC projects and LCLUC-related research from the Future Investigators in NASA Earth and Space Science and Technology (FINESST) and the Inter-Disciplinary Research in Earth Science (IDS) programs. A reception followed. PDF versions of the posters can be accessed on the meeting website.

DAY TWO

The second day of the meeting continued with additional presentations from the LCLUC ROSES 2022 projects and updates from international programs. In addition, the attendees listened to presentations from NASA HQ and NASA Centers, describing various initiatives and data products, such as from the Socio-Economic Data and Applications Center (SEDAC).

Updates from LCLUC PIs on ROSES 2022 Proposal Selections (cont.)

Cascade Tuholske [Montana State University] presented “Modulation of Climate Risks Due to Urban and Agricultural Land Uses in the Arabian Peninsula.” Tuholske explained how this project aims to map LCLUC, assess the effects on extreme humid heat, and characterize the socio-demographics of exposure to heat stress – see Figure 2. Key findings include evidence of a rapid increase in dangerously hot and humid weather – particularly in urban and agricultural areas – and the importance of remote sensing in studying these interactions. Future steps will involve using climate models to predict the effects of LCLUC on heat waves, water stress, and dust storms.

LCLUC-Figure_2.png?w=1440&h=426&fit=clip
Figure 2. The Ghana Climate Hazards Center Coupled Model Intercomparison Project (CMIP) Phase 6 climate projection dataset map of temperatures exceeding 41 °C (106 °F) [left], future climate projection (SSP) for 2050 [middle], and the difference between the two [right].
Figure credit: From a 2024 paper in the journal Scientific Data

Monika Tomaszewska [MSU] provided details on the project, “Institutional Forcings on Agricultural Landscapes in Post-Socialist Europe: Diachronic Hotspot Analysis of Common Agricultural Policy Influences on Agricultural Land Use in Romania 2002–2024.” She explained that the project focuses on how the EU’s common agricultural policy (CAP) programs (e.g., livelihood payments, environmental protections, and rural development projects) have influenced land use changes – see Figure 3. Tomaszewska summarized key findings from the study, which indicates significant changes in crop composition and spatial patterns – with notable decreases in maize and rapeseed areas between 2018 and 2023. She stated that the study aims to understand the diffusion of innovation through CAP enrollments and payments and their impact on agricultural practices in Romania.

LCLUC figure 3
Figure 3. Dense time series of Harmonized Landsat Sentinel-2 (HLS) data at 30-m (98-ft) resolution revealing winter and summer crops across Southern Romania in 2018 [top] and 2023 [bottom]. Magenta areas indicate forests, green areas represent summer crops (e.g., maize, sunflower, soy), and blue areas show winter crops (e.g., wheat, barley, rapeseed). Yellow areas indicate very low spring Enhanced Vegetative Index-2 due to snow or persistent clouds at higher elevations.
Figure credit: Geoff Henebry (MSU)

Xiao-Peng Song [UMD] presented “Energy LCLUC Hotspot: Characterizing the Dynamics of Energy Land Use and Assessing Environmental Impacts in the Permian Basin.” He said that the project aims to assess the environmental impacts of energy-related land-cover and land-use change in the region. Song showed the output from the project, which includes high-resolution LCLUC and geohazard maps that enhance understanding of energy-related environmental impacts and contribute to NASA’s LCLUC program. Results from this study are expected to inform decision makers on societal issues related to oil and gas production and its effects on the environment.

International Partner Program Updates

The International Partners Programs session featured four presentations. Ariane DeBremond [UMD] focused on the Global Land Programme (GLP), which is a comprehensive, global initiative dedicated to understanding and addressing changes in land systems and their implications for sustainability and justice. DeBremond described the program, which coordinates research on land use, land management, and land cover changes,. She emphasized land systems as social-ecological systems and fostering interdisciplinary collaboration to develop solutions for global challenges. The research agenda includes descriptive, normative, and transformative aspects, aimed at characterizing land systems, identifying causes and impacts of changes, and creating pathways for sustainability transformations. GLP also emphasizes the need for new remote-sensing data, improved generalizability, and addressing geographic biases in land system science. Recent program activities include developing a new science plan, identifying emerging themes, and organizing open science meetings. DeBremond ended by announcing that the next GLP meeting is scheduled for November 2024 in Oaxaca, Mexico.

David Skole outlined the efforts of the Global Observations of Forest and Land Cover Dynamics (GOFC–GOLD) Land Implementation Team (LC–IT) in advancing methods and tools for global land cover measurements and monitoring. The LC–IT is primarily focused on developing and evaluating space-borne and in-situ observation techniques to support global change research, forest inventories, and international policy. Skole highlighted the importance of regional networks in coordinating the use of Earth Observation (EO) data, facilitating capacity building, and addressing regional concerns through workshops and partnerships. He also discussed the changing role of EO in responding to climate change and sustainability challenges, emphasizing the need for high-integrity carbon finance and the integration of new data and technologies to support nature-based solutions. He concluded with insights into the BeZero Carbon Rating system, which evaluates carbon efficacy across various projects worldwide and highlights the need for reliable ratings to ensure the credibility of carbon markets.

David Roy [MSU] detailed the work of the GOFC-GOLD Fire Implementation Team, which focuses on improving the accuracy and utility of satellite-based fire monitoring. The team is working to enhance global fire observation requirements, particularly for small fires and those with low Fire Radiative Power, which are often underrepresented in current datasets. Roy emphasized the need for continuous development and validation of satellite-derived fire products, including a robust quality assurance framework. The team advocates for standardized methods to validate fire data and harmonize information from various satellite missions to create a more comprehensive global fire record. Roy also highlighted the need for new satellite missions with advanced fire detection capabilities and the use of machine learning to improve fire modeling and data accessibility to provide more accurate and actionable data for global change research and fire management.

Alexandra Tyukavina [UMD] presented on Land Product Validation (LPV) subgroup of the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration and Validation (WGCV). The LPV is focused on updating land cover validation guidelines, incorporating new literature and data from the past 20 years. Tyukavina emphasized the need for rigorous accuracy assessment in land cover studies, highlighting the need to improve methods and reporting as well as accuracy. She also discussed the outcomes of a NASA-sponsored joint cropland validation workshop co-hosted by CEOS and GEOGLAM, which aimed to set minimum requirements for cropland validation and develop community guidelines. Tyukavina concluded her presentation with a call for reviewers to assist in updating these guidelines.

LCLUC Program Crosswalks

The Crosswalks, a LCLUC program, featured six presentations. Frederick Policelli [GSFC] presented on the CSDA program, which supports the ESD by acquiring and utilizing commercial, small-satellite data to enhance Earth science research. Launched as a pilot in November 2017, the program became a sustained effort in 2020, transitioning from Blanket Purchase Agreements to Indefinite-Delivery, Indefinite-Quantity contracts for better data management. The CSDA also introduced a tiered End User License Agreement for data usage and focuses on long-term data preservation and broad access. Policelli described how program participants collaborate with U.S. government agencies and international partners, adhering to the 2003 U.S. Commercial Remote Sensing Policy. He discussed recent developments, which include onboarding new commercial data vendors and expanding the program’s capabilities.

Jacqueline Le Moigne [ESTO] provided details on NASA’s Earth Science Technology Office’s (ESTO), Advanced Information Systems Technology (AIST) program and its development of Earth System Digital Twins (ESDT). She explained that ESDTs are intended to be dynamic, interactive systems that replicate the Earth’s past and current states, forecast future states, and assess hypothetical scenarios. They should integrate continuous data from diverse sources, utilize advanced computational and visualization capabilities, and rely heavily on machine learning for data fusion, super-resolution, and causal reasoning. Le Moigne added that ESDTs enhance our understanding of Earth systems, their interactions, and applications, particularly in the context of climate change. She highlighted various use cases (e.g., wildfires, ocean carbon processes, the water cycle, and coastal zones) demonstrating the potential of ESDTs to support decision-making and policy planning.

Roger Pielke [University of Colorado, Boulder] discussed the critical need to incorporate land-use data into weather forecasts and climate models to improve understanding of and address climate change. He emphasized the distinction between weather and climate, explaining that climate is dynamic and influenced by both natural and human factors. Pielke critiqued the focus of the approach of the Intergovernmental Panel on Climate Change (IPCC) on carbon dioxide (CO2) emissions as the primary driver of climate change, arguing that LCLUC should be considered as an equally important climate forcing. He illustrated how changes in land cover, such as in Florida and the Great Plains, can significantly impact local and regional climate, sometimes rivaling the effects of CO2. Pielke called for integrating land-use data into climate models across all scales, suggesting that NASA’s programs could lead in this effort to enhance climate forecasting and policymaking.

Brad Doorn [NASA HQ—Program Manager, NASA’s Earth Action Agriculture Program] presented an overview of the program’s status and strategic direction. He emphasized the importance of partnerships, particularly with the USDA, in advancing initiatives like Climate Smart Agriculture. NASA’s role in global food security and supply chain monitoring was highlighted through the activities of NASA’s Harvest and Acres, agriculture and food security consortia, both of which enable collaborative research to codevelop data-driven products and services and enhance predictive models to meet end-user needs. Doorn stressed the need for strong collaborations with the private sector, non-governmental organizations, and other space agencies to accelerate the development of agricultural solutions. He also highlighted the significance of integrating NASA’s capabilities in weather, water, and crop monitoring systems to provide comprehensive tools for stakeholders. Doorn explained that the program aims to bridge gaps between NASA’s observations and practical applications in agriculture, leveraging tools, such as the Global Crop Monitor, and integrating predictive capabilities for improved future planning.   

Rachel Paseka [NASA HQ] presented on NASA’s open science funding opportunities with a focus on the ROSES F.7 element, which supports widely used open-source software tools, frameworks, and libraries within the NASA science community. She described the program, which offers two types of awards: Foundational Awards for projects that impact multiple divisions and Sustainment Awards for those affecting one or more divisions of the Science Mission Directorate. Foundational Awards are cooperative agreements lasting up to five years. Sustainment Awards can be grants or cooperative agreements lasting up to three years. Paseka also emphasized the importance of open science, highlighting various tools, data challenges, and collaborative efforts, including artificial intelligence (AI) models for tasks (e.g., flood detection and burn scar mapping). She concluded with an introduction of the Science Explorer (SciX) digital library and the Science Discovery Engine, both of which facilitate access to NASA’s open science data and research.

Alex de Sherbinin [SocioEconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN), Columbia University] provided an overview of datasets and research related to climate risk, social vulnerability, and environmental change. de Sherbinin outlined the SocioEconomic Data and Applications Center (SEDAC) mission areas, which include population land-use and emissions, mitigation, vulnerability and adaptation, hazard vulnerability assessment, poverty and food security, and environment and sustainable development. He highlighted key SEDAC datasets (e.g., LCLUC and Urban and Settlements Datasets) and their use in analyses. SEDAC data and services are accessible via tools, such as Global Forest Watch and Google Earth Engine. de Sherbinin also covered recent research citations, the impact of studies on biodiversity and urban changes, and SEDAC’s contributions to open science and training initiatives. He also emphasized the importance of integrating remote sensing data with social and health sciences for comprehensive environmental analysis.

DAY THREE

The third day of the meeting focused on satellite missions and data product updates and a LCLUC program feedback session on emerging science directions.

Landsat Mission Updates

Chris Neigh [GSFC—Landsat 9 Project Scientist] provided an overview of the status of the current Landsat missions that are in orbit (L7, L8, and L9]. He reported that all L9 Level-1 requirements have now been met and exceeded. OLI-2, the updated sensor for L9, transmits data at 14 bits compared to the L8 12-bit transmission, allowing for finer data resolution. OLI-2 offers a 25–30% improvement in the signal-to-noise ratio for dark targets, leading to enhanced data quality. The Thermal Infrared Sensor on L9 (TIRS-2) has also been improved over TIRS on L7 and L8, to mitigate stray light issues, enhancing the reliability of thermal data. Additionally, OLI-2 supports better atmospheric corrections through split window techniques using both of its channels. With two operational observatories, L8 and L9, equipped with advanced radiometry, data is provided every eight days, ensuring consistent and precise Earth observation capabilities. The radiometric and geometric performance of L9 is excellent from a Calibration/Validation (Cal/Val) perspective.

While all systems are nominal for L8 and L9, Neigh reported that L7 is nearing the end of its operational life. He stated that the Landsat Cal/Val team will continue its work for the duration of the mission as a joint USGS–NASA effort. He also highlighted the need for a global Analysis Ready Data framework and the development of proxy and simulated datasets to support the next generation of Landsat missions. Neigh ended by reporting that opportunities exist for scientists to share their high-profile, Landsat-based research through the program’s communications team.

Bruce Cook [GSFC—Landsat Next Project Scientist] provided an update on the Landsat Next mission, an ambitious extension of the Landsat Program under the Sustainable Land Imaging (SLI) program, which will be a joint effort by NASA and the USGS. Cook explained that this mission aims to greatly enhance Earth observation by launching three identical satellites, each equipped with advanced Visible Shortwave Infrared (VSWIR) and Thermal Infrared (TIR) instruments. He described how the Landsat Next constellation will improve the temporal revisit time to six days – a major advancement from the 16-day interval of L8 and L9. In order to achieve this revisit time improvement, each satellite will carry a Landsat Next Instrument Suite (LandIS) that will capture 21 VSWIR and five thermal infrared bands, which will have better spatial resolutions compared to previous Landsat missions. It will have ground sample distances of 10–20 m (33–66 ft) for visible, near infrared, and shortwave infrared bands and 60 m (197 ft) for atmospheric visible SWIR and thermal infrared bands.

Cook continued with details on LandIS, stating that Landsat Next will record 26 bands in total – 15 more than the currently active L8 and L9 missions. The LandIS will include refined versions of the 11 Landsat “heritage” bands to ensure continuity, five new bands similar to the ESA’s Copernicus Sentinel-2 mission for improved data integration, and 10 new spectral bands to meet evolving user needs and applications. Additionally, Landsat Next will have a water vapor band for atmospheric correction without needing data from other satellites. LandIS will collect all bands nearly simultaneously, reducing illumination variations between bands and aiding in cloud detection and the generation of multispectral surface reflectance and thermal emission products (e.g., evapotranspiration).

Cook said that Landsat Next is in Phase A of its mission life cycle. The current focus is on defining science requirements and converting them into specific hardware and system designs. He said that this phase is crucial for setting up the subsequent phases. Phase B will involve preliminary design and technology completion, and later phases leading to the final design, fabrication, and launch of the satellites. He ended by emphasizing that the introduction of a new reference system and a lower orbit will further enhance the satellites’ ability to capture high-quality data, leading to a significant advancement in Earth observation technology.

Harmonized Landsat–Sentinel Project Update

Junchang Ju [GSFC] discussed the Harmonized Landsat Sentinel-2 (HLS) project, which aims to integrate data from the L8, L9, Sentinel-2A, and Sentinel-2B satellites for more frequent and detailed Earth observations. Currently the MODIS climate modeling grid data is used for atmospheric correction – see Figure 4. The newer HLS version will use VIIRS-based water vapor and ozone fields instead of MODIS data for atmospheric correction using the land surface reflectance code. Ju explained how HLS adopts the Military Grid Reference System used by Sentinel-2. HLS V2.0 corrects a mistake in view angle normalization of earlier versions (V1.3 and V1.4). Atmospherically corrected data from Hyperion (an instrument on NASA’s Earth Observing–1 extended mission) is used to make bandpass adjustments. A temporally complete global HLS V2.0 dataset has been available since August 2023. He also highlighted the availability and access of HLS data through various platforms – e.g., EarthData and WorldView, in Amazon Web Services and the project’s future plans, such as enhancing vegetation indices, cloud mask improvements, and 10-m (33-ft) improved resolution product.

LCLUC figure 4
Figure 4. Sentinel-2B image over the Baltimore-Washington area on April 7, 2022 [left]. Example true color images of top of atmospheric reflectance and the corresponding HLS surface reflectance are shown [right]. The atmospheric ancillary data used in the surface reflectance derivation was from the MODIS Climate Modeling Grid (CMG) data before the transition to VIIRS was implemented.
Figure Credit: Junchang Ju (GSFC)

NISAR Update

Gerald Bawden [NASA HQ—NISAR Program Scientist] delivered a presentation about the NISAR mission, which is a collaborative effort between NASA and the ISRO. He explained that NISAR will be a dual-frequency Synthetic Aperture Radar satellite using 24-cm (9-in) L-band and 10-cm (4-in) S-band radar frequencies. This dual-frequency approach will enable high-resolution imaging of Earth’s surface, offering near-global land and ice coverage with a 12-day repeat cycle for interferometry and approximately 6-day coverage using both ascending and descending orbits. The mission’s goals include providing valuable data to understand and manage climate variability, carbon dynamics, and catastrophic events (e.g., earthquakes). Specific applications include monitoring deformation, measuring ice sheet velocities, observing sea-ice deformation, and assessing biomass and crop disturbances. Bawden discussed NISAR’s data products, which will include raw radar data (Level-0) and geocoded single-look complex images and multi-look interferograms (Level-2). He stated that these data products will be crucial for various research and practical applications, including ecological forecasting, wildfire management, resource management, and disaster response. NISAR’s data will be openly accessible to the global scientific community through the Alaska Satellite Facility Data Active Archive Center. Initially planned for early 2024, the NISAR launch has been delayed to 2025. Bawden reported that NISAR will undergo a three-month commissioning phase after launch – before starting science operations. He also emphasized NASA’s commitment to open science, with NISAR’s data processing software and algorithms being made available as open-source tools, accompanied by training resources to facilitate their use.

Land Surface Disturbance Alert Classification System Update

Matthew Hansen [UMD] focused on the Land Surface Disturbance Alert (DIST-ALERT) classification system, designed for near-real-time global vegetation extent and loss mapping. He described the DIST-ALERT system, which uses HLS data, combining inputs from L8, L9, Sentinel-2A, and -2B to achieve a high-revisit rate of approximately 2–3 days at a 30-m (98-ft) resolution. DIST-ALERT operates with a primary algorithm that tracks vegetation loss through time-series analysis of fractional vegetation cover (FVC) and a secondary algorithm that detects general spectral anomalies. The system integrates drone data from various biomes to build a k-nearest neighbors model that is applied globally to predict FVC at the HLS-pixel scale. Hansen explained that DIST-ALERT monitors disturbances by comparing current vegetation fraction against a seasonal baseline, capturing changes such as forest fires, logging, mining, urban expansion, drought, and land conversion. He concluded by highlighting some case studies, including analysis of forest fires in Quebec, Canada, logging in the Republic of Congo, and gold mining in Ghana. He also said that the team released an improved version (V1) in March 2024, following a provisional release (V0) that was operational from February 2023 to February 2024.

State of LCLUC Report

Chris Justice [UMD—LCLUC Program Scientist] provided comments on the current state of the LCLUC program, followed by an open discussion to gather feedback. He emphasized the need for PI’s to effectively communicate their work to the broader community and highlighted the recent LCLUC initiative to create policy-oriented briefs based on research results, demonstrating its relevance to the Earth Science to Action Strategy. Justice acknowledged that challenges lie ahead for the LCLUC program – particularly considering the anticipated resource constraints in the coming year. He noted that the program plans to strengthen its position by forming partnerships with other ESD program elements and increasing involvement across NASA Centers. The program is also emphasizing the use of advanced remote sensing technologies, AI, and deep-learning data analytics, to deliver more precise and actionable insights into land dynamics contributing to better decision-making and policy development in land management and environmental conservation.

Justice also suggested the need for better integration between different scientific fields (i.e., between LCLUC and climatology, climate mitigation, and adaptation) to enhance interdisciplinary research and collaboration. He cited the current program solicitation (e.g., ROSES 2024 A.2) as an example of this integration and the recent IDS solicitation in ROSES 2022 A.28. Justice reminded participants that the solicitation focuses on collaborating with AIST to develop Land Digital Twins that incorporate available remote sensing data time series as non-static boundary conditions in weather forecast and climate models. Improvements in model forecasts and climate simulations will highlight the importance of accounting for LCLUC in these models – advancing the goals of the IPCC.

Conclusion

Garik Gutman concluded the meeting by summarizing key points raised about data management strategies, educational outreach efforts, LCLUC research outside the U.S., and current and upcoming projects. He highlighted that the program requires PIs to provide metadata for data products generated under NASA-funded projects, ensuring these resources are freely and openly accessible to the scientific community. Gutman acknowledged the challenges of conducting research and fieldwork in foreign countries due to funding and, at times, security issues, but praised the PIs for their efforts to expand the program globally. He also noted the program’s outreach efforts, which include engaging PIs, collaborators, and interested parties through its website, newsletters, webinars, and policy briefs. LCLUC emphasizes the importance of effectively communicating research results and encourages researchers to share their findings via NASA’s Earth Sciences Research Results Portal to enhance visibility among leadership and communication teams.

Gutman ended his presentation by providing details about forthcoming meetings in the Philippines, South Korea, and Turkey, as well as workshops scheduled for 2024, which will involve various stakeholders in the LCLUC community and are vital for fostering collaboration and advancing the program’s goals. He concluded by recognizing the contributions of long-term supporters and collaborators, reaffirming the program’s ongoing commitment to advancing Earth observation and land-use science.

Overall, the 2024 LCLUC meeting was highly successful in fostering collaboration among researchers and providing valuable updates on recent developments in LCLUC research. The exchange of ideas, integration of new data products, and discussions on emerging science directions were particularly impactful, contributing to the advancement of the LCLUC program’s goals.

Krishna Vadrevu
NASA’s Marshall Space Flight Center
krishna.p.vadrevu@nasa.gov

Meghavi Prashnani
University of Maryland, College Park
meghavi@umd.edu

Christopher Justice
University of Maryland, College Park
cjustice@umd.edu

Garik Gutman
NASA Headquarters
ggutman@nasa.gov

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Jan 09, 2025

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      Introduction
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      Other presentations in this session included one in which the speaker described how Yangon, the capital city in Myanmar, is undergoing rapid urbanization and industrial growth. From 1990–2020, the urban area expanded by over 225% – largely at the expense of agricultural and green lands. Twenty-nine industrial zones cover about 10.92% of the city, which have attracted significant foreign direct investment, particularly in labor-intensive sectors. This growth has led to challenges with land confiscations, inadequate infrastructure, and environmental issues (e.g., air pollution). Additionally, rural migration for employment has resulted in informal settlements, emphasizing the need for comprehensive urban planning that balances economic development with social equity and sustainability.
      Another presentation highlighted varying LUCC trends across Vietnam. In the Northern and Central Coastal Uplands, for example, swidden systems are shifting toward permanent tree crops, such as rubber and coffee. Meanwhile, the Red River Delta is seeing urban densification and consolidation of farmland – transitioning from rice to mixed farming with increased fruit and flower production. Similarly, the Central Coastal Lowlands and Southeastern regions are experiencing urban growth and a shift from coastal agriculture – in this case, to shrimp farming – leading to mangrove loss. The Central Highlands is moving from swidden to tree crops, particularly fruit trees, while the Mekong River Delta is increasing rice cropping and aquaculture. These changes contribute to urbanization, altered farming practices, and biodiversity loss. Advanced algorithms (e.g., the Time-Feature Convolutional Neural Network model) are being used to effectively map these varied LUCC changes in Vietnam.
      Another presenter explained how 10-m (33-ft) resolution spatially gridded population datasets are essential to address LUCC in environmental and socio-demographic research. There was also a demonstration of PopGrid, which is a collaborative initiative that provides access to various global-gridded population databases, which are valuable for regional LUCC studies and can support informed decision-making and policy development.
      DAY TWO
      The second day’s presentations centered around urban LUCC (Session IV) as well as interconnections between agriculture and water resources. (Session V).
      Session IV: Urban Land Cover/Land Use Change
      Gay Perez [Philippines Remote Sensing Agency (PhilSA)] presented a keynote focused on PhilSA’s mission to advance Philippines as a space-capable country by developing indigenous satellite and launch technologies. He explained that PhilSA provides satellite data in various categories, including sovereign, commercial, open-access, and disaster-activated. He noted that the ground infrastructure – which includes three stations and a new facility in Quezon – supports efficient data processing. For example, Perez stated that in 2023, PhilSA produced over 10,000 maps for disaster relief, agricultural assessments, and conservation planning.
      Perez reviewed PhilSA’s Diwata-2 mission, which launched in 2018 and operates in a Sun-synchronous orbit around 620 km (385 mi) above Earth. With a 10-day revisit capability, it features a high-precision telescope [4.7 m (15ft) resolution], a multispectral imager with four bands, an enhanced resolution camera, and a wide-field camera. Since launch, Diwata-2 has captured over 100,000 global images, covering 95% of the Philippines. Looking to the near future, Perez reported that PhilSA’s launch of the Multispectral Unit for Land Assessment (MULA) satellite is planned for 2025. He explained that MULA will capture images with a 5-m (~16-ft) resolution and 10–20-day revisit time, featuring 10 spectral bands for vegetation, water, and urban analysis.
      Perez also described the Drought and Crop Assessment and Forecasting project, which addresses drought risks and mapping ground motion in areas, e.g., Baguio City and Pangasinan. Through partnerships in the Pan-Asia Partnership for Geospatial Air Pollution Information (PAPGAPI) and the Pandora Asia Network, PhilSA monitors air quality across key locations, tracking urban pollution and cross-border particulate transport. PhilSA continues to strengthen Southeast Asian partnerships to drive sustainable development in the region.
      Jiquan Chen [Michigan State University] presented the second keynote address, which focused on the Urban Rural Continuum (URC). Chen emphasized the importance of synthesizing studies that explore factors such as population dynamics, living standards, and economic development in the URC. Key considerations include differentiating between two- and three-dimensional infrastructures and understanding constraints from historical contexts. Chen highlighted critical variables from his analysis including net primary productivity, household income, and essential infrastructure elements, such as transportation and healthcare systems. He advocated for integrated models that combine mechanistic and empirical approaches to grasp the dynamics of URC changes, stressing their implications for urban planning, environmental sustainability, and social equity. He concluded with a call for collaboration to enhance these models and tackle challenges arising from the changing urban–rural landscape.
      Tep Makathy [Cambodian Institute For Urban Studies] discussed urbanization in Phnom Penh, Cambodia. He explained that significant LUCC and infrastructure developments have been fueled by direct foreign investment; however, this development has resulted in environmental degradation, urban flooding, and infrastructure strain. Tackling pollution, congestion, preservation of green spaces, and preserving the historical heritage of the city will require sustainable urban planning efforts.
      Nguyen Thi Thuy Hang [Vietnam Japan University, Vietnam National University, Hanoi] explained how flooding poses a significant annual threat to infrastructure and livelihoods in Can Tho, Vietnam. Therefore, it is essential to incorporate climate change considerations into land-use planning by enhancing the accuracy of vegetation layer classifications. Doing so will improve the representation of land-cover dynamics in models that decision-makers use when planning urban development. In addition, Hang reported that a more comprehensive survey of dyke systems will improve flood protection and identify areas needing reinforcement or redesign. These studies could also explore salinity intrusion in coastal agricultural areas that could impact crop yields and endanger food security.
      In this session, two presenters highlighted how SAR data, which uses high backscatter to enhance the radar signal, is being used to assist with mapping urban areas in their respective countries. The phase stability and orientation of building structures across SAR images aid in consistent monitoring and backscatter, producing distinct image textures specific to urban settings. Researchers can use this heterogeneity and texture to map urban footprints, enabling automated discrimination between urban and non-urban areas. The first presenters showed how Interferometric Synthetic Aperture Radar techniques, such as Small Baseline Subset (SBAS) and Persistent Scatterer (PS) have been highly effective for mapping and monitoring land subsidence in coastal and urban areas in Vietnam. This approach has been applied to areas along the Saigon River as well as in Ho Chi Minh, Vietnam. The second presenter described an approach (using SAR data with multitemporal coherence and the K-means classification method) that has been used effectively to study urban growth in the Denpasar Greater Area of Indonesia between 2016 and 2022. The technique identified the conversion of 4376 km2 (1690 mi2) of rural to built-up areas, averaging 72.9 hectares (0.3 mi2) per year. Urban sprawl was predominantly observed in the North Kuta District, where the shift from agricultural to built-up land use has been accompanied by severe traffic congestion and other environmental issues.
      Another presenter showed how data from the QuikSCAT instrument, which flew on the Quick Scatterometer satellite, and from the Sentinel-1 C-band SAR can be combined to measure and analyze urban built-up volume, specifically focusing on the vertical growth of buildings across various cities. By integrating these datasets, researchers can assess urban expansion, monitor the development of high-rise buildings, and evaluate the impact of urbanization on infrastructure and land use. This information is essential for urban planning, helping city planners and policymakers make informed decisions to accommodate growing populations and enhance sustainable urban development.
      Session V – LUCC, Agriculture, and Water Resources
      Chris Justice presented the keynote for this session, in which he addressed the GEOGLAM initiative and the NASA Harvest program. GEOGLAM, initiated by the G20 Agriculture Ministers in 2011, focuses on agriculture and food security to increase market transparency and improve food security. These efforts leverage satellite-based Earth observations to produce and disseminate timely, relevant, and actionable information about agricultural conditions at national, regional, and global scales to support agricultural markets and provide early warnings for proactive responses to emerging food emergencies. NASA Harvest uses satellite Earth observations to benefit global food security, sustainability, and agriculture for disaster response, climate risk assessments, and policy support. Justice also emphasized the use of open science and open data principles, promoting the integration of Earth observation data into national and international agricultural monitoring systems. He also discussed the development and application of essential agricultural variables, in situ data requirements, and the need for comprehensive and accurate satellite data products.
      During this session, another presentation focused on how VNSC is engaged in several agricultural projects, including mapping rice crops, estimating yields, and assessing environmental impacts. VNSC has created high-accuracy rice maps for different seasons that the Vietnamese government uses to monitor and manage agricultural production. Current initiatives involve using satellite data to estimate CH4 emissions from rice paddies, biomass mapping, and monitoring rice straw burning. For example, in the Mekong Delta, numerous environmental factors, including climate change-induced stress (e.g., sea-level rise), flooding, drought, land subsidence, and saltwater intrusion, along with human activities like dam construction, sand mining, and groundwater extraction, threaten the sustainability of rice farming and farmer livelihoods. To address these challenges, sustainable agricultural practices are essential to improving rice quality, diversify farming systems, adopt low-carbon techniques, and enhance water management.
      Presentations highlighted the importance of both optical and SAR data for LUCC studies, particularly in mapping agricultural areas. A study using Landsat time-series data demonstrated its value in monitoring agricultural LUCC in Houa Phan Province, Laos, and Son La Province, Vietnam. Land cover types were classified through spectral pattern analysis, identifying distinct classes based on Landsat reflectance values. The findings revealed significant natural forest loss alongside increases in cropland and forest plantations due to agricultural expansion. High-resolution imagery validated these results, indicating the scalability of this approach for broader regional and global land-cover monitoring. Another study showcased the effectiveness of SAR data from the Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) on the Japanese Advanced Land Observing Satellite-2 (ALOS-2) for mapping and monitoring agricultural land use in Suphanburi, Thailand. This data proved particularly useful for capturing seasonal variations and diverse agricultural practices. Supervised machine learning methods, such as Random Forest classifiers, combined with innovative spatial averaging techniques, achieved high accuracy in distinguishing various agricultural conditions.
      In the session, presenters also discussed the use of Sentinel-1 SAR data for mapping submerged and non-submerged paddy soils was highlighted, demonstrating its effectiveness in understanding water management issues see – Figure 4. Additionally, large-scale remote sensing data and cloud computing were shown to provide unprecedented opportunities for tracking agricultural land-use changes in greater detail. Case studies from India and China illustrated key challenges, such as groundwater depletion in irrigated agriculture across the Indo-Ganges region and the impacts on food, water, and air quality in both countries.
      Figure 4. Series of Sentinel-1 radar data images showing submerged paddy soil (blue) and non-submerged paddy soil (red) in the Mekong Delta, Vietnam. Figure credit: Hiranori Arai [International Rice Research Institute] The session also focused on Water–Energy–Food (WEF) issues related to the Mekong River Basin’s extensive network of hydroelectric dams, which present both benefits and challenges. While these dams support sectors such as irrigated agriculture and hydropower, they also disrupt vital ecosystem services, including fish habitats and biodiversity. Collaborative studies integrating satellite and ground data, hydrological models, and socio-economic frameworks highlight the need to balance these benefits with ecological and social costs. Achieving sustainable management requires cross-sectoral and cross-border cooperation, as well as the incorporation of traditional knowledge to address WEF trade-offs and governance challenges in the region.
      DAY THREE
      The third day included a session that explored the impacts of fire, GHG emissions, and pollution (Session VI) as well as a summary discussion on synthesis (Session VII).
      Session VI: Fires, Greenhouse Gas Emissions, and Pollution
      Chris Elvidge [Colorado School of Mines] presented a keynote on the capabilities and applications of the Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire [VNF] system, an advanced satellite-based tool developed by the Earth Observation Group. VIIRS Nightfire uses four near- and short-wave infrared channels, initially designed for daytime imaging, to detect and monitor infrared emissions at night. The system identifies various combustion sources, including both flaming and non-flaming activities (e.g., biomass burning, gas flaring, and industrial processes). It calculates the temperature, source area, and radiant heat of detected infrared emitters using physical laws to enable precise monitoring of combustion events and provide insight into exothermic and endothermic processes.
      Elvidge explained that VNF has been vital for near-real-time data in Southeast Asia. The system has been used to issue daily alerts for Vietnam, Thailand, and Indonesia. Recent updates in Version 4 (V4) include atmospheric corrections and testing for secondary emitters with algorithmic improvements – with a 50% success rate in identifying additional heat sources. The Earth Observation Group maintains a multiyear catalog of over 20,000 industrial infrared emitters available through the Global Infrared Emitter Explorer (GIREE) web-map service. With VIIRS sensors expected to operate until about 2040 on the Joint Polar Satellite System (JPSS) platforms, this system ensures long-term, robust monitoring and analysis of global combustion events, proving essential for tracking the environmental impacts of industrial activities and natural combustion processes on the atmosphere and ecosystems.
      Toshimasa Ohara [Center for Environmental Science, Japan—Research Director] continued with the second keynote and provided an in-depth analysis of long-term trends in anthropogenic emissions across Asia. The regional mission inventory in Asia encompasses a range of pollutants and offers detailed emissions data from 1950–2020 at high spatial and temporal resolutions. The study employs both bottom-up and top-down approaches for estimating emissions, integrating satellite observations to validate data and address uncertainties. Notably, emissions from China, India, and Japan have shown signs of stabilization or reduction, attributed to stricter emission control policies and technological advancements. Ohara also highlighted Japan’s effective air pollution measures and the importance of extensive observational data in corroborating emission trends. His presentation emphasized the need for improved methodologies in emission inventory development and validation across Asia, aiming to enhance policymaking and environmental management in rapidly industrializing regions.
      Several presenters during this session focused on innovative approaches to understand and mitigate GHG emissions and air pollution. One presenter showed how NO2 data from the TROPOspheric Monitoring Instrument (TROPOMI) on the European Sentinel-5 Precursor have been validated against ground-based observations from Pandora stations in Japan, highlighting the influence of atmospheric conditions on measurement accuracy. Another presenter described an innovative system that GISTDA used to combine satellite remote sensing data with Artificial Intelligence (AI). This system was used to monitor and analyze the concentration of fine particulate matter (PM) in the atmosphere in Thailand. (In this context fine is defined as particles with diameters ≤ 2.5 µm, or PM2.5.) These applications, which are accessible through online, cloud-based platforms and mobile applications for iOS and Android devices, allow users, including citizens, government officers, and policymakers, to access PM2.5 data in real-time through web and mobile interfaces.
      A project under the United Nations Economic and Social Commission for Asia and the Pacific in Thailand is focused on improving air quality monitoring across the Asia–Pacific region by integrating satellite and ground-based data. At the core of this effort, the Pandora Asia Network, which includes 30 ground-based instruments measuring pollutants such as NO₂ and sulfur dioxide (SO₂), is complemented by high-resolution observations from the Geostationary Environment Monitoring Spectrometer (GEMS) aboard South Korea’s GEO-KOMPSAT-2B (GK-2B) satellite. The initiative also provides training sessions to strengthen regional expertise in remote sensing technologies for air quality management and develops decision support systems for evidence-based policymaking, particularly for monitoring pollution sources and transboundary effects like volcanic eruptions. Future plans include expanding the Pandora network and enhancing data integration to support local environmental management practices.
      PM2.5 levels in Vietnam are influenced by both local emissions and long-range pollutant transport, particularly in urban areas.The Vietnam University of Engineering and Technology, in conjunction with VNSC, continues to map and monitor PM2.5 using satellites and machine learning while addressing data quality issues that stem from missing satellite data and limited ground monitoring stations – see Figure 5.
      In addition to mapping and monitoring pollutants, another presentater explained that significant research is underway to address their health impacts. In Hanoi, exposure to pollutants ( e.g., PM2.5, PM10, and NO2) has led to increased rates of respiratory diseases (e.g., pneumonia, bronchitis, and asthma) among children,  as well as elevated instances of cardiovascular diseases among adults. A substantial mortality burden is attributable to fine particulate matter – particularly in densely populated areas like Hanoi. Compliance with stricter air quality guidelines could potentially prevent thousands of premature deaths. For example, preventive measures enacted during the COVID-19 pandemic resulted in reduced pollution levels that were associated with a decrease in avoidable mortality rates. In response to these challenges, Vietnam has implemented air quality management policies, including national technical regulations and action plans aimed at controlling emissions and enhancing monitoring; however, current national standards still fall short of the more stringent guidelines recommended by the World Health Organization. Improved air quality standards and effective policy interventions are needed to mitigate the health risks associated with air pollution in Vietnam.
      Figure 5. Map of particulate matter (PM 2.5) variations observed across Vietnam, using multisatellite aerosol optical depth (AOD) data from the Moderate Resolution Imaging Spectrogradiometer (MODIS) on NASA’s Aqua and Terra platforms, and from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NASA–NOAA Suomi NPP platform, combined with ground-based AOD and meteorological data. Figure credit: Thanh Nguyen [Vietnam National University of Engineering and Technology, Vietnam] Another presenter explained how food production in Southeast Asia contributes about 40% of the region’s total GHG emissions – with rice and beef production identified as the largest contributors for plant-based and animal-based emissions, respectively. Another presentation focused on a study that examined GHG emissions from agricultural activities, which suggests that animal-based food production – particularly beef – generates substantially higher GHG emissions per kg of food produced compared to plant-based foods, such as wheat and rice. Beef has an emission intensity of about 69 kg of CO2 equivalent-per-kg, compared to 2 to 3 kg of CO2 equivalent-per-kg for plant-based foods. The study points to mitigation strategies (e.g., changing dietary patterns, improving agricultural practices) and adopting sustainable land management. Participants agreed that a comprehensive policy framework is needed to address the environmental impacts of food production and reduce GHG emissions in the agricultural sector.
      In another presentation, the speaker highlighted the fact that Southeast Asian countries need an advanced monitoring, reporting, and verification system to track GHG emissions – particularly within high-carbon reservoirs like rice paddies. To achieve this, cutting-edge technologies (e.g., satellite remote sensing, low-cost unmanned aerial vehicles, and Internet of Things devices) can be beneficial in creating sophisticated digital twin technology for sustainable rice production and GHG mitigation.
      Another presentation featured a discussion about pollution resulting from forest and peatland fires in Indonesia, which is significantly impacting air quality. Indonesia’s tropical peatlands – among the world’s largest and most diverse – face significant threats from frequent fires. Repeated burning has transformed forests into shrubs and secondary vegetation regions, with fires particularly affecting forest edges and contributing to a further retreat of intact forest areas. High-resolution data is essential to map and monitor changes in forest cover, including pollution impacts.
      Another speaker described a web-based Geographic Information Systems (GIS) application that has been developed to support carbon offsetting efforts in Laos – to address significant environmental challenges, e.g., deforestation and climate change. Advanced technologies (e.g., remote sensing, GIS, and Global Navigation Satellite Systems) are used to monitor land-use changes, carbon sequestration, and ecosystem health. By integrating various spatial datasets, the web GIS app enhances data collection precision, streamlines monitoring processes, and provides real-time information to stakeholders for informed decision-making. This initiative fosters collaboration among local communities, government agencies, and international partners, while emphasizing the importance of government support and international partnerships. Ultimately, the web GIS application represents a significant advancement in Laos’s commitment to environmental sustainability, economic growth, and the creation of a greener future.
      Session VII. Discussion Session on Synthesis
      The meeting concluded with a comprehensive discussion on synthesizing themes related to LUCC. The session focused on three themes: LUCC, agriculture, and air pollution. The session focused on trends and projections as well as the resulting impacts in the coming years. It also highlighted research related to these topics to inform more sustainable land use policies. A panel of experts from different Southeast Asian countries addressed these topics. A summary of the key points shared by the panelists for each theme during the discussion is provided below.
      LUCC Discussions
      This discussion focused on the challenges of balancing economic development with environmental sustainability in Southeast Asian countries, e.g., mining in Myanmar, agriculture in Vietnam, and rising land prices in Thailand. More LUCC research is needed to inform decision-making and improve land-use planning during transitions from agriculture to industrialization while ensuring food security. The panelists also discussed urban sprawl and infrastructure development along main roads in several Southeast Asian countries, highlighting the social and environmental challenges arising from uncoordinated growth. It was noted that urban infrastructure lags behind population increases, resulting in traffic congestion, pollution, and social inequality. Cambodia, for example, has increased foreign investments, which presents similar dilemmas of economic growth accompanied by significant environmental degradation. Indonesia is another example of a Southeast Asian nation facing rapid urbanization and inadequate spatial planning, leading to flooding, groundwater depletion, and pollution. These issues further highlight the need for integrated satellite monitoring to inform land-use policies. Finally, recognizing the importance of public infrastructure in growth management, it was reported that the Thai government is already using technology to manage urban development alongside green spaces.
      Panelists agreed that LUCC research is critical for guiding policymakers toward sustainable land-use practices – emphasizing the necessity for improved communication between researchers and policymakers. While the integration of technologies (e.g., GIS and remote sensing) is beginning to influence policy decisions, room for improvement remains. In summary, the discussions stressed the importance of better planning, technology integration, and policy-informed research to reconcile economic growth with sustainability. Participants also highlighted the need to engage policymakers, non-government organizations, and the private sector in using scientific evidence for sustainable development. Capacity building in Laos, Cambodia, and Myanmar, where GIS and remote sensing technologies are still developing, is crucial. Community involvement is essential for translating research findings into actionable policies to address real-world challenges and social equity.
      Agriculture Discussions
      These discussions explored the intricate relationships between agricultural practices, economic growth, and environmental sustainability in Southeast Asia. As an example, despite national policies to manage the land transition in Vietnam, rapid conversions from forest to agricultural land and further to residential and industrial continue. While it is recognized that strict land management plans may hinder future adaptability, further regulation is needed. These rapid shifts in land use have increased land for economic development – especially in industrial and residential sectors – and contribute to environmental degradation, e.g., pollution and soil erosion. In Thailand, land is distributed among agriculture (50%), forest (30%), and urban (20%) areas. Despite a long history of agricultural practices, Vietnam faces new challenges from climate change and extreme weather.
      Thailand, meanwhile, is exploring carbon credits to incentivize sustainable farming practices – although this requires significant investment and time. The nation is well-equipped with a robust water supply system, and ongoing efforts to enhance crop yields on Vietnam’s Mekong Delta, salinity levels, and flooding intensity have increased as a result of the rise in incidents of extreme weather, prompting advancements in rice farming mechanization to be implemented that are modeled after practices that have been successfully used in the Philippines.
      Despite these advances, issues (e.g., over-application of rice seeds) remain. The dominant land cover type in Malaysia is tropical rainforest, although agriculture – particularly oil palm plantations – also plays a significant role in land use. While stable, it shares environmental concerns with Indonesia. The country is integrating solar energy initiatives, placing solar panels on former agricultural lands and recreational areas, which raises coastal environmental concerns. In Taiwan, substantial land use changes have stemmed from solar panel installations to support green energy goals but have led to increased temperatures and altered wind patterns.
      All panelists agreed that remote sensing technologies are vital to inform agricultural policy across the region. They emphasized the need to transition from academic research to actionable insights that directly inform policy. Panelists also discussed the challenge of securing funding for actionable research – underlining the importance of recognizing the transition required for research to inform operational use. Some countries (e.g., Thailand) have established operational crop monitoring systems, while others (e.g., Vietnam) primarily depend on research projects. Despite progress in Malaysia’s monitoring of oil palm plantations, a comprehensive operational monitoring system is still lacking in many areas. The participants concluded that increased efforts are needed to promote the wider adoption of remote sensing technologies for agricultural and environmental monitoring, with emphasis on developing operational systems that can be integrated into policy and decision-making processes.
      Air Pollution Discussions
      The discussion on air pollution focused on various sources in Southeast Asia, which included both local and transboundary factors. Panelists highlighted that motor vehicles, industrial activities, and power plants are major contributors to pollutants, such as PM2.5, NO2, ozone (O3), and carbon monoxide (CO). Forest fires in Indonesia – particularly from South Sumatra and Riau provinces – are significantly impacting neighboring countries, e.g., Malaysia. A study found that most PM2.5 pollution in Kuala Lumpur originates from Indonesia. During the COVID-19 pandemic, pollution levels dropped sharply due to reduced economic activity; however, data from 2018–2023 shows that PM2.5 levels have returned to pre-pandemic conditions.
      The Indonesian government is actively working to reduce deforestation and emissions, aiming for a 29% reduction by 2030. Indonesia is also participating in carbon markets and receiving international payments for emission reductions. Indonesia’s emissions also stem from energy production, industrial activities, and land-use changes, including peat fires. The Indonesian government reports anthropogenic sources – particularly from the energy sector and industrial activities, forest and peat fires, waste, and agriculture – continue to escalate. While Indonesia is addressing these issues, growing population and energy demands continue to drive pollution levels higher.
      Vietnam and Laos are facing similar challenges related to air pollution – particularly from agricultural residue burning. Both governments are working on expanding air quality monitoring, regulating waste burning, and developing policies to mitigate pollution. Vietnam has been developing provincial air quality management plans and expanding its monitoring network. Laos has seen increased awareness of pollution, accompanied by government measures aimed at restricting burning and improving waste management practices.
      The panelists agreed that collaborative efforts for regional cooperation are essential to address air pollution. This will require collaboration in research and data sharing to inform policy decisions. There is a growing interest in leveraging satellite technology and modeling approaches to enhance air quality forecasting and management. To ensure that research translates into effective policy, communication of scientific findings to policymakers is essential – particularly by clearly communicating complex research concepts in accessible formats. All panelists agreed on the importance of improving governance, transparency, and scientific communication to better translate research into policy actions, highlighting collaborations with international organizations – including NASA – to address air quality issues. While significant challenges related to air pollution persist in Southeast Asia, noteworthy efforts are underway to improve awareness, research, and collaborative governance aimed at enhancing air quality and reducing emissions.
      Conclusion
      The LCLUC–SARI Synthesis meeting fostered collaboration among researchers and provided valuable updates on recent developments in LUCC research, exchange of ideas, integration of new data products, and discussions on emerging science directions. This structured dialogue (particularly the discussions in each session) helped the attendees identify priorities and needs within the LUCC community. All panelists and meeting participants commended the SARI leadership for their proactive role in facilitating collaborations and discussions that promote capacity-building activities across the region. SARI activities have significantly contributed to enhancing the collective ability of countries in South and Southeast Asia to address pressing environmental challenges. The meeting participants emphasized the importance of maintaining and expanding these collaborative efforts, which are crucial for fostering partnerships among governments, research institutions, and local communities. They urged SARI to continue organizing workshops, training sessions, and knowledge-sharing platforms that can equip stakeholders with the necessary skills and resources to tackle environmental issues such as air pollution, deforestation, climate change, and sustainable land management.
      Krishna Vadrevu
      NASA’s Marshall Space Flight Center
      krishna.p.vadrevu@nasa.gov
      Vu Tuan
      Vietnam National Science Center, Vietnam
      vatuan@vnsc.org.vn
      Than Nguyen
      Vietnam National University Engineering and Technology, Vietnam
      thanhntn@vnu.edu.vn
      Son Nghiem
      Jet Propulsion Laboratory
      son.v.nghiem@jpl.nasa.gov
      Tsuneo Matsunaga
      National Institute of Environmental Studies, Japan
      matsunag@nies.go.jp
      Garik Gutman
      NASA Headquarters
      ggutman@nasa.gov
      Christopher Justice
      University of Maryland College Park
      cjustice@umd.edu
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