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Tundra Vegetation to Grow Taller, Greener Through 2100, NASA Study Finds


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Warming global climate is changing the vegetation structure of forests in the far north. It’s a trend that will continue at least through the end of this century, according to NASA researchers. The change in forest structure could absorb more of the greenhouse gas carbon dioxide (CO2) from the atmosphere, or increase permafrost thawing, resulting in the release of ancient carbon. Millions of data points from the Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) and Landsat missions helped inform this latest research, which will be used to refine climate forecasting computer models.

A landscape image. In the foreground on the left side of the image is a single small evergreen tree, with pine needles only at the top of the tree. The rest of the foreground is mostly a green/brown grass. The background shows some extending landscapes, but primarily is taken up by the sky, a light blue color that is covered by white and gray puffy clouds.
Landscape at Murphy Dome fire scar, outside of Fairbanks, Alaska, during the Arctic Boreal Vulnerability Experiment (ABoVE) in August 2022.
Credit: NASA/Katie Jepson

Tundra landscapes are getting taller and greener. With the warming climate, the vegetation of forests in the far north is changing as more trees and shrubs appear. These shifts in the vegetation structure of boreal forests and tundra will continue for at least the next 80 years, according to NASA scientists in a recently published study.

Boreal forests generally grow between 50 and 60 degrees north latitude, covering large parts of Alaska, Canada, Scandinavia, and Russia. The biome is home to evergreens such as pine, spruce, and fir. Farther north, the permafrost and short growing season of the tundra biome have historically made it hard to support large trees or dense forests. The vegetation in those regions has instead been made up of shrubs, mosses, and grasses.

The boundary between the two biomes is difficult to discern. Previous studies have found high-latitude plant growth increasing and moving northward into areas that earlier were sparsely covered in the shrubs and grasses of the tundra. Now, the new NASA-led study finds an increased presence of trees and shrubs in those tundra regions and adjacent transitional forests, where boreal regions and tundra meet. This is predicted to continue until at least the end of the century.

A rendered map of the northern United States and Canada. The ocean is depicted as a light blue, while most of the land is depicted in grayscale. Data is overlayed onto the image in splotches of purple and green. A scale is at the bottom of the image, with a label stating Change in Tree Canopy Cover 1984-2020
Data from the study depicted on a map of Alaska and Northern Canada highlighting the change in tree canopy cover extending into transitional landscapes. In boreal North America, the largest increases in canopy cover (dark green) have occurred in transitional tundra landscapes. These landscapes are found along the cold, northern extent of the study area and have historically supported mostly shrubs, mosses, and grasses.
Credit: NASA Earth Observatory/Wanmei Liang

“The results from this study advance a growing body of work that recognizes a shift in vegetation patterns within the boreal forest biome,” said Paul Montesano, lead author for the paper and research scientist at NASA Goddard’s Space Flight Center in Greenbelt, Maryland. “We’ve used satellite data to track the increased vegetation growth in this biome since 1984, and we found that it’s similar to what computer models predict for the decades to come. This paints a picture of continued change for the next 80 or so years that is particularly strong in transitional forests.”

Scientists found predictions of “positive median height changes” in all tundra landscapes and transitional – between boreal and tundra – forests featured in this study. This suggests trees and shrubs will be both larger and more abundant in areas where they are currently sparse.

“The increase of vegetation that corresponds with the shift can potentially offset some of the impact of rising CO2 emissions by absorbing more CO2 through photosynthesis,” said study co-author Chris Neigh, NASA’s Landsat 8 and 9 project scientist at Goddard. Carbon absorbed through this process would then be stored in the trees, shrubs, and soil.

The change in forest structure may also cause permafrost areas to thaw as more sunlight is absorbed by the darker colored vegetation. This could release CO2 and methane that has been stored in the soil for thousands of years.

In their paper published in Nature Communications Earth & Environment in May, NASA scientists described the mixture of satellite data, machine learning, climate variables, and climate models they used to model and predict how the forest structure will look for years to come. Specifically, they analyzed nearly 20 million data points from NASA’s ICESat-2. They then matched these data points with tens of thousands of scenes of North American boreal forests between 1984 to 2020 from Landsat, a joint mission of NASA and the U.S. Geological Survey. Advanced computing capabilities are required to create models with such large quantities of data, which are called “big data” projects.

An image taken from the viewpoint of the plane. The image is mostly showing a green landscape below, with strands of rivers and lakes interspersing the land.
Flight over the boreal landscapes of Fairbanks, Alaska, during the ABoVE field campaign in August 2022.
Credit: NASA/Sofie Bates

The ICESat-2 mission uses a laser instrument called lidar to measure the height of Earth’s surface features (like ice sheets or trees) from the vantage point of space. In the study, the authors examined these measurements of vegetation height in the far north to understand what the current boreal forest structure looks like. Scientists then modeled several future climate scenarios — adjusting to different scenarios for temperature and precipitation — to show what forest structure may look like in response.

“Our climate is changing and, as it changes, it affects almost everything in nature,” said Melanie Frost, remote sensing scientist at NASA Goddard. “It’s important for scientists to understand how things are changing and use that knowledge to inform our climate models.”

By Erica McNamee

NASA’s Goddard Space Flight Center, Greenbelt, Md.

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      Son Nghiem [NASA/Jet Propulsion Laboratory (JPL)] addressed dynamic LUCC in Cambodia, Laos, Thailand, Vietnam, and Malaysia. The synthesis study examined the factors that evolve along the rural–urban continuum (RUC). Nghiem showcased this effort using Synthetic Aperture Radar (SAR) data from the Copernicus Sentinel-1 mission to map a typical RUC in Bac Lieu, Vietnam – see Figure 2.
      Figure 2. Land cover map of Bae Lieu, Vietnam, and surrounding rural areas. The image shows persistent building structures (red), agricultural areas (light green), aquacultural (light blue), tree cover (dark green), and water bodies (dark blue). Land-use classes used on this map are derived from Sentinel-1 Synthetic Aperture Radar (SAR) for the rural urban continuum around Bac Lieu. Figure credit: Son Nghiem [JPL] Nghiem described the study, which examined the role of rapid urbanization, agricultural conversion, climate change, and environment–human feedback processes in causing non-stationary and unpredictable impacts. This work illustrates how traditional trend analysis is insufficient for future planning. The study also examined whether slower or more gradual changes could inform policy development. To test these hypotheses, his research will integrate high-resolution radar and hyperspectral data with socioeconomic analyses. The study highlights the need for policies that are flexible and responsive to the unique challenges of different areas, particularly in “hot-spot” regions experiencing rapid changes.
      Peilei Fan [Tufts University] presented a study that synthesizes the complex patterns of LUCC, identifying both the spatial and temporal dynamics that characterize transitions in urban systems. The study explores key drivers, including economic development, population growth, urbanization, agricultural expansion, and policy shifts. She emphasized the importance of understanding these drivers for sustainable land management and urban planning. For example, the Yangon region of Myanmar has undergone rapid urbanization – see Figure 3. Her work reveals the need for integrated approaches that consider both urban and rural perspectives to manage land resources effectively and mitigate negative environmental and social impacts. Through a combination of case studies, statistical analysis, and policy review, Fan and her team aim to provide a nuanced understanding of the interactions between human activities and environmental changes occurring in the rapidly transforming landscapes of Southeast Asia.
      Figure 3. Landsat data can be used to track land cover change over time. For example, Thematic Mapper data have been used to track urban expansion around Yangon, Myanmar. The data show that the built-up area expanded from 161 km2 (62 mi2) in 1990 to 739 km2 (285 mi2) in 2020. Figure credit: Peleli Fan [Tufts University] Session III: Land Cover/Land Use Change Studies
      Tanapat Tanaratkaittikul [Geo-Informatics and Space Technology Development Agency (GISTDA), Thailand] highlighted GISTDA activities, which play a crucial role in advancing Thailand’s technological capabilities and addressing both national and global challenges, including Thailand Earth Observation System (THEOS) and its successors: THEOS-2 and THEOS-2A. THEOS-1, which launched in 2008, provides 2-m (6-ft) panchromatic and 15-m (45-ft) multispectral resolution with a 26-day revisit cycle, which can be reduced to 3 days with off-nadir pointing. Launched in 2023, THEOS-2 includes two satellites – THEOS-2A [a very high-resolution satellite with 0.5-m (1.5-ft) panchromatic and 2-m (6-ft) multispectral imagery] and THEOS-2B [a high-resolution satellite with 4-m (12-ft) multispectral resolution] – with a five-day revisit cycle. GISTDA also develops geospatial applications for drought assessment, flood prediction, and carbon credit calculations to support government decision-making and climate initiatives. GISTDA partners with international collaborators on regional projects, such as the Lancang-Mekong Cooperation Special Fund Project.
      Eric Vermote [NASA’s Goddard Space Flight Center] presented a keynote that focused on atmospheric correction of land remote sensing data and related algorithm updates. He highlighted the necessity of correcting surface imaging for atmospheric effects, such as molecular scattering, aerosol scattering, and gaseous absorption, which can significantly distort the satellite spectral signals and lead to potential errors in applications, such as land cover mapping, vegetation monitoring, and climate change studies.
      Vermote explained that the surface reflectance algorithm uses precise vector radiative transfer modeling to improve accuracy by incorporating atmospheric parameter inversion. It also adjusts for various atmospheric conditions and aerosol types – enhancing corrections across regions and seasons. He explained that SkyCam – a network of ground-based cameras – provides real-time assessments of cloud cover that can be used to validate cloud masks, while the Cloud and Aerosol Measurement System (CAMSIS) offers additional ground validation by measuring atmospheric conditions. He said that together, SkyCam and CAMSIS improve satellite-derived cloud masks, supporting more accurate climate models and environmental monitoring. Vermote’s work highlights the ongoing advancement of atmospheric correction methods in remote sensing.
      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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      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Astronaut Jeanette Epps extracts DNA samples from bacteria colonies for genomic analysis aboard the International Space Station’s Harmony module.NASA In an effort to learn more about astronaut health and the effects of space on the human body, NASA is conducting a new experiment aboard the International Space Station to speed up the detection of antibiotic-resistant bacteria, thus improving the health safety not only of astronauts but patients back on Earth.
      Infections caused by antibiotic-resistant bacteria can be difficult or impossible to treat, making antibiotic resistance a leading cause of death worldwide and a global health concern.
      Future astronauts visiting the Moon or Mars will need to rely on a pre-determined supply of antibiotics in case of illness. Ensuring those antibiotics remain effective is an important safety measure for future missions.
      The Genomic Enumeration of Antibiotic Resistance in Space (GEARS) experiment, which is managed by NASA’s Ames Research Center in California’s Silicon Valley, involves astronauts swabbing interior surfaces across the space station and testing those samples for evidence of antibiotic-resistant bacteria, and in particular Enterococcus faecalis, a type of bacteria commonly found in the human body. The experiment is the first step in a series of work that seeks to better understand how organisms grow in a space environment, and how those similarities and differences might help improve research back on Earth.
      “Enterococcus is a type of organism that’s been with us since our ancestors crawled out of the ocean, and is a core member of the human gut,” said Christopher Carr, assistant professor at the Georgia Institute of Technology and co-principal investigator of GEARS. “It’s able to survive inside and outside of its host, which has allowed it to become the second highest leading cause of hospital-acquired infections. We want to understand how this type of organism is adapting to the space environment.”
      The GEARS experiment seeks to improve the detection and identification of these bacteria, building on existing efforts to understand what organisms grow on the station’s surfaces.
      “We’ve been monitoring the surfaces of the space station since 2000, but this experiment will give us insight beyond the identities of present organisms, which is currently all that is used for risk assessment,” said Sarah Wallace, a microbiologist at NASA’s Johnson Space Center in Houston and co-principal investigator of GEARS. “With the station orbiting close to Earth, it’s a low-risk space to evaluate and learn more about the frequency of this bacteria and how it responds to the space environment so we can apply this understanding to missions to the Moon and Mars, where resupplies are more complex.”
      Over the next year, astronauts will swab parts of the station and analyze samples by adding an antibiotic to the medium in which the samples will grow. The results will reveal where this and other resistant bacteria are growing and whether they can persist or spread across the station.
      I hope we can shine a light on rapidly analyzing bacteria: if we can do this in space, we can do it on Earth, too.
      Sarah WAllace
      NASA Microbiologist
      The experiment was originally launched to the ISS on the 30th SpaceX commercial resupply services (CRS) mission in March 2024, and the first round of GEARS testing turned up surprising results: very few resistant bacteria colonies, none of which were E. faecalis. This bodes well for the threat of antibiotic resistance in space.
      “There was some cleaning done before swabbing the station, which may have removed some bacteria,” said Carr. To better understand how and where risky bacteria may live, the astronauts paused some cleaning before the second round of swabbing.
      “We want the astronauts to have a clean environment, but we also want to test those high-touch areas, so they intentionally and briefly avoided cleaning some areas so we can understand how bacteria may grow or spread on the station.”
      This experiment is the first study to perform metagenomic sequencing in space, a method that analyzes all the genetic material in a sample to identify and characterize all organisms that are present, an important research and medical diagnostic capability for future deep space missions.
      The GEARS team hopes to create a rapid workflow to analyze bacteria samples, reducing the time between swabbing and test results from days to hours. That workflow could be applied in hospitals and make a huge impact when treating hospital-acquired infections from antibiotic-resistant microbes.
      The result could save lives – more than 35,000 people die each year as a result of antibiotic-resistant infections. The issue is personal to Wallace, who lost a family member to a hospital-acquired infection.
      “It’s not that uncommon: so many people have experienced this kind of loss,” said Wallace. “A method to give an answer in a matter of hours is huge and profound. It’s my job to keep the crew healthy, but we’re also passionate about bringing that work back down to Earth. I hope we can shine a light on rapidly analyzing bacteria: if we can do this in space, we can do it on Earth, too.”
      Genomic Enumeration of Antibiotic Resistance in Space (GEARS) was funded by the Biological and Physical Sciences Space Biology Program, with pioneering funding and support from the Mars Campaign office.
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