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The Marshall Star for June 18, 2024

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The Marshall Star for June 18, 2024

: The husband-and-wife duo of Terra Engineering, Valerie and Todd Mendenhall, receive the $1 million prize June 12, for winning the final phase of NASA’s Break the Ice Lunar Challenge at Alabama A&M’s Agribition Center in Huntsville. With the Terra Engineering team at the awards ceremony are from left, Daniel K. Wims, Alabama A&M University president; Joseph Pelfrey, NASA Marshall Space Flight center director; NASA’s Break the Ice Challenge Manager Naveen Vetcha, and Majed El-Dweik, Alabama A&M University’s vice president of Research & Economic Development.

California Teams Win $1.5 Million in NASA’s Break the Ice Lunar Challenge

By Savannah Bullard

After two days of live competitions, two teams from southern California are heading home with a combined $1.5 million from NASA’s Break the Ice Lunar Challenge. 

Since 2020, competitors from around the world have competed in this challenge with the common goal of inventing robots that can excavate and transport the icy regolith on the Moon. The lunar South Pole is the targeted landing site for crewed Artemis missions, so utilizing all resources in that area, including the ice within the dusty regolith inside the permanently shadowed regions, is vital for the success of a sustained human lunar presence.

A older man and wife stand in green shirts holding a large check for a million dollars after winning NASA's Break the Ice Lunar Challenge
The husband-and-wife duo of Terra Engineering, Valerie and Todd Mendenhall, receive the $1 million prize June 12, for winning the final phase of NASA’s Break the Ice Lunar Challenge at Alabama A&M’s Agribition Center in Huntsville. With the Terra Engineering team at the awards ceremony are from left, Daniel K. Wims, Alabama A&M University president; Joseph Pelfrey, NASA Marshall Space Flight center director; NASA’s Break the Ice Challenge Manager Naveen Vetcha, and Majed El-Dweik, Alabama A&M University’s vice president of Research & Economic Development.
NASA/Jonathan Deal

On Earth, the mission architectures developed in this challenge aim to help guide machine design and operation concepts for future mining and excavation operations and equipment for decades.

“Break the Ice represents a significant milestone in our journey toward sustainable lunar exploration and a future human presence on the Moon,” said Joseph Pelfrey, center director of NASA’s Marshall Space Flight Center. “This competition has pushed the boundaries of what is possible by challenging the brightest minds to devise groundbreaking solutions for excavating lunar ice, a crucial resource for future missions. Together, we are forging a future where humanity ventures further into the cosmos than ever before.”

The final round of the Break the Ice competition featured six finalist teams who succeeded in an earlier phase of the challenge. The competition took place at the Alabama A&M Agribition Center in Huntsville on June 11 and 12, where each team put their diverse solutions to the test in a series of trials, using terrestrial resources like gravity-offloading cranes, concrete slabs, and a rocky track with tricky obstacles to mimic the environment on the Moon.

The husband-and-wife duo of Terra Engineering took home the top prize for their “Fracture” rover. Team lead Todd Mendenhall competed in NASA’s 2007 Regolith Excavation Challenge, facilitated through NASA’s Centennial Challenges, which led him and Valerie Mendenhall to continue the pursuit of solutions for autonomous lunar excavation.

A small space hardware business, Starpath Robotics, earned the second-place prize for its four-wheeled rover that can mine, collect, and haul material. The team, led by Saurav Shroff and lead engineer Mihir Gondhalekar, developed a robotic mining tool that features a drum barrel scraping mechanism for breaking into the tough lunar surface. This allows the robot to mine material quickly and robustly without sacrificing energy.

“This challenge has been pivotal in advancing the technologies we need to achieve a sustained human presence on the Moon,” said Kim Krome, the Acting Program Manager for NASA’s Centennial Challenges. “Terra Engineering’s rover, especially, bridged several of the technology gaps that we identified – for instance, being robust and resilient enough to traverse rocky landscapes and survive the harsh conditions of the lunar South Pole.”

breaktheicerunnerup.jpg?w=2048
Starpath Robotics earned the second place prize for its four-wheeled rover that can mine, collect, and haul material during the final phase of NASA’s Break the Ice Lunar Challenge. From left, Matt Kruszynski, Saurav Shroff, Matt Khudari, Alan Hsu, David Aden, Mihir Gondhalekarl, Joshua Huang, and Aakash Ramachandran.
NASA/Jonathan Deal

Beyond the $1.5 million in prize funds, three teams will be given the chance to use Marshall Space Flight Center’s thermal vacuum (TVAC) chambers to continue testing and developing their robots. These chambers use thermal vacuum technologies to create a simulated lunar environment, allowing scientists and researchers to build, test, and approve hardware for flight-ready use.

The following teams performed exceptionally well in the excavation portion of the final competition, earning these invitations to the TVAC facilities:

  • Terra Engineering (Gardena, California)
  • Starpath Robotics (Hawthorne, California)
  • Michigan Technological University – Planetary Surface Technology Development Lab (Houghton, Michigan)

“We’re looking forward to hosting three of our finalists at our thermal vacuum chamber, where they will get full access to continue testing and developing their technologies in our state-of-the-art facilities,” said Break the Ice Challenge Manager Naveen Vetcha, who supports NASA’s Centennial Challenges through Jacobs Space Exploration Group. “Hopefully, these tests will allow the teams to take their solutions to the next level and open the door for opportunities for years to come.”

NASA’s Break the Ice Lunar Challenge is a NASA Centennial Challenge led by the agency’s Marshall Space Flight Center, with support from NASA’s Kennedy Space Center. Centennial Challenges are part of the Prizes, Challenges, and Crowdsourcing program under NASA’s Space Technology Mission Directorate. Ensemble Consultancy supports challenge competitors. Alabama A&M University, in coordination with NASA, supports the final competitions and winner event for the challenge.

Bullard, a Manufacturing Technical Solutions Inc. employee, supports the Marshall Office of Communications.

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NASA Announces Winners of 2024 Student Launch Competition

Over 1,000 students from across the U.S. and Puerto Rico launched high-powered, amateur rockets on April 13, just north of NASA’s Marshall Space Flight Center, as part of the agency’s annual Student Launch competition.

Teams of middle school, high school, college, and university students were tasked to design, build, and launch a rocket and scientific payload to an altitude between 4,000 and 6,000 feet, while making a successful landing and executing a scientific or engineering payload mission.

sl24.jpg?w=2048
High school and collegiate student teams gathered just north of NASA’s Marshall Space Flight Center to participate in the agency’s annual Student Launch competition April 13.
Credits: NASA/Charles Beason

“These bright students rise to a nine-month challenge that tests their skills in engineering, design, and teamwork,” said Kevin McGhaw, director of NASA’s Office of STEM Engagement Southeast Region. “They are the Artemis Generation, the future scientists, engineers, and innovators who will lead us into the future of space exploration.”

NASA announced the University of Notre Dame is the overall winner of the agency’s 2024 Student Launch challenge, followed by Iowa State University, and the University of North Carolina at Charlotte. A complete list challenge winners can be found on the agency’s student launch web page. NASA presented the 2024 Student Launch challenge award winners in a virtual award ceremony June 7.

Each year NASA implements a new payload challenge to reflect relevant missions. This year’s payload challenge is inspired by the Artemis missions, which seek to land the first woman and first person of color on the Moon.

The complete list of award winners are as follows:

2024 Overall Winners

  • First place: University of Notre Dame, Indiana
  • Second place: Iowa State University, Ames
  • Third place: University of North Carolina at Charlotte

3D Printing Award:

College Level:

  • First place: University of Tennessee Chattanooga

Middle/High School Level:

  • First place: First Baptist Church of Manchester, Manchester, Connecticut

Altitude Award

College Level:

  • First place: Iowa State University, Ames

Middle/High School Level:

  • First place: Morris County 4-H, Califon, New Jersey

Best-Looking Rocket Award:

College Level:

  • First place: New York University, Brooklyn, New York

Middle/High School Level:

  • First place: Notre Dame Academy High School, Los Angeles

American Institute of Aeronautics and Astronautics Reusable Launch Vehicle Innovative Payload Award:

College Level:

  • First place: University of Colorado Boulder
  • Second place: Vanderbilt University, Nashville, Tennessee
  • Third place: Carnegie Mellon, Pittsburgh, Pennsylvania

Judge’s Choice Award:

Middle/High School Level:

  • First place: Cedar Falls High School, Cedar Falls, Iowa
  • Second place: Young Engineers in Action, LaPalma, California
  • Third place: First Baptist Church of Manchester, Manchester, Connecticut

Project Review Award:

College Level:

  • First place: University of Florida, Gainesville

AIAA Reusable Launch Vehicle Award:

College Level:

  • First place: University of Florida, Gainesville
  • Second place: University of North Carolina at Charlotte
  • Third place: University of Notre Dame, Indiana

AIAA Rookie Award:

College Level:

  • First place: University of Colorado Boulder

Safety Award:

College Level:

  • First place: University of Notre Dame, Indiana
  • Second place: University of Florida, Gainesville
  • Third place: University of North Carolina at Charlotte

Social Media Award:

College Level:

  • First place: University of Colorado Boulder

Middle/High School Level:

  • First place: Newark Memorial High School, Newark, California

STEM Engagement Award:

College Level:

  • First place: University of Notre Dame, Indiana
  • Second place: University of North Carolina at Charlotte
  • Third place: New York University, Brooklyn, New York

Middle/High School Level:

  • First place: Notre Dame Academy High School, Los Angeles, California
  • Second place: Cedar Falls High School, Cedar Falls, Iowa
  • Third place: Thomas Jefferson High School for Science and Technology, Alexandria, Virginia

Service Academy Award:

First place: United States Air Force Academy, USAF Academy, Colorado

Vehicle Design Award:

Middle/High School Level:

  • First place: First Baptist Church of Manchester, Manchester, Connecticut
  • Second place: Explorer Post 1010, Rockville, Maryland
  • Third place: Plantation High School, Plantation, Florida

Payload Design Award:

Middle/High School Level:

  • First place: Young Engineers in Action, LaPalma, California
  • Second place: Cedar Falls High School, Cedar Falls, Iowa
  • Third place: Spring Grove Area High School, Spring Grove, Pennsylvania

Student Launch is one of NASA’s nine Artemis Student Challenges, activities which connect student ingenuity with NASA’s work returning to the Moon under Artemis in preparation for human exploration of Mars.

The competition is managed by Marshall’s Office of STEM Engagement (OSTEM). Additional funding and support are provided by NASA’s OSTEM via the Next Gen STEM project, NASA’s Space Operations Mission Directorate, Northrup Grumman, National Space Club Huntsville, American Institute of Aeronautics and Astronautics, National Association of Rocketry, Relativity Space, and Bastion Technologies.

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Keith Savoy Named Deputy Director at Michoud Assembly Facility

Keith Savoy has been named deputy director of NASA’s Michoud Assembly Facility, effective June 16.

Savoy will assist in managing the day-to-day operations of one of the world’s largest manufacturing facilities, where key elements of NASA’s Space Launch System (SLS), and Orion spacecraft are built. Michoud, a multi-tenant manufacturing site sitting on 829 acres with over 2 million square feet of manufacturing space, is managed by NASA’s Marshall Space Flight Center and provides facility infrastructure and capacity for federal, state, academic, and technology-based industry partners.

Keith Savoy
Keith Savoy has been named deputy director of NASA’s Michoud Assembly Facility.
NASA

Savoy was the chief operating officer of Michoud Assembly Facility from 2022-2024, where he oversaw the day-to-day administrative and operational functions of the NASA-owned facility, helping sustain SLS and Orion production efforts and coordinating requirements and logistics with Michoud tenant leadership for approximately 3,500 Michoud employees.

He previously served as manager of the Office of Center Operations of Michoud from 2016-2022. His responsibilities included managing the facility’s planning, maintenance, design, construction, and engineering. Savoy also oversaw energy and water conservation, environmental permitting and compliance, industrial hygiene, and medical, security, and logistics services, where he was responsible for managing over $350 million of supplemental funding projects sitewide.

Savoy also held the position of lead engineer, Logistics and Operation Planning for NASA from 2007-2016 at Michoud as an expert consultant for all engineering aspects of the facility. He managed multi-phase projects and helped advance aerospace manufacturing at Michoud to meet the complex requirements of SLS and Orion multi-purpose crew vehicle programs, ensuring environmental compliance. Savoy worked closely with local, state, and federal environmental regulatory agencies to identify and resolve engineering and environmental issues. His expertise was a key contributor to ensuring NASA’s sustainable and environmental goals were achieved.

Prior to working for NASA, Savoy held several positions of increasing responsibility with Lockheed Martin from 1988-2007. As manager of Operational Planning and Layout, he was responsible for managing the Construction of Facilities. This required developing and implementing plans, outlining scope-of-work, overseeing large-scale project budgets, and Project Definition Rating assessment/score and 1509 development. Savoy implemented Six Sigma & Lean principles concepts to achieve many successes and identified innovative solutions and best practices to satisfy customer requirements. Savoy was also the manager of the Infrastructure Enhancement Team where he managed over 160 personnel and a $10 million budget.

Savoy has a Master of Science in environmental management from National Technological University in Fort Collins, Colorado, a bachelor of science in electrical engineering from the University of Louisiana-Lafayette, and a technical degree in industrial instrumentation from International Technical Institute in Baton Rouge, Louisiana.

Throughout his career, Savoy has received various awards including the NASA Honor Award Outstanding Leadership Medal, Director’s Commendation Honor Award, Safety Flight Awareness Awards, and several Silver Medal Group Achievement Awards.

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‘NASA in the Park’ Returns to Rocket City June 22

NASA in the Park is coming back to Big Spring Park East in Huntsville, Alabama, on June 22, from 10 a.m. to 2 p.m. CDT. The event is free and open to the public.

A blue background has NASA in the Park on it with Orange and White letters. The SLS Rocket graphic and stars appear as well.

NASA’s Marshall Space Flight Center, its partners, and collaborators will fill the park with space exhibits, music, food vendors, and hands-on activities for all ages. Marshall is teaming up with Downtown Huntsville Inc. for this unique celebration of space and the Rocket City.

“NASA in the Park gives us the opportunity to bring our work outside the gates of Redstone Arsenal and thank the community for their continuing support,” Marshall Director Joseph Pelfrey said. “It’s the first time we’ve held the event since 2018, and we look forward to sharing this experience with everyone.”

Pelfrey will kick the event off with local leaders on the main stage. NASA speakers will spotlight topics ranging from space habitats to solar sails, and local rock band Five by Five will perform throughout the day.

“NASA Marshall is leading the way in this new era of space exploration, for the benefit of all humankind,” Pelfrey said. “We are proud members of the Rocket City community, which has helped us push the boundaries of science, technology, and engineering for nearly 65 years.”

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Mission Success is in Our Hands: Baraka Truss

By Wayne Smith

Mission Success is in Our Hands is a safety initiative collaboration between NASA’s Marshall Space Flight Center and Jacobs. As part of the initiative, eight Marshall team members are featured in testimonial banners placed around the center. This is the last in a Marshall Star series profiling team members featured in the testimonial banners. The Mission Success team also awards the Golden Eagle Award on a quarterly basis to Marshall and contractor personnel who are nominated by their peers or management. Candidates for this award have made significant, identifiable contributions that exceed normal job expectations to advance flight safety and mission assurance. Nominations for 2024 are open now online on Inside Marshall.

Baraka Truss is the Avionics and Software Branch chief at NASA’s Marshall Space Flight Center.
Baraka Truss is the Avionics and Software Branch chief at NASA’s Marshall Space Flight Center.
NASA/Charles Beason

Baraka Truss is the Avionics and Software Branch chief in the Safety and Mission Assurance Organization, Vehicle Systems Department, at NASA’s Marshall Space Flight Center. Her key responsibilities include being viewed as a leadership role model, “demonstrating commitment to the mission and NASA’s core values, creating the most impact for the greater agency, and engaging in activities that promote supervisory excellence and value beyond the immediate organization.”

Truss has worked at Marshall for 28 years. Her previous roles have been software engineer, Software Engineering Process Group lead, special assistant to the center director, Independent Assessment Team lead, Software Quality Discipline lead engineer, Software Assurance Team lead, and     SLS (Space Launch System) Software chief safety officer.

A native of Montgomery, Alabama, Truss earned a bachelor’s and master’s degree in computer science from Alabama A&M University in Huntsville.

Question: How does your work support the safety and success of NASA and Marshall missions?

Truss: My work involves daily managing and interactions with the avionics and software team members whose mission is to ensure the safety of hardware and software for various programs and projects at Marshall and NASA.

Question: What does the initiative campaign “Mission Success is in Our Hands” mean to you?

Truss: That when risks arise, we should be sure to listen to all sides and make informed decisions, be held accountable, and speak up for what is safe when we need to do so.

Question: Do you have a story or personal experience you can share that might help others understand the significance of mission assurance or flight safety? What did you learn from it?

Truss: In my experience, mission assurance requires you to “believe the unlikely.” I have learned that believing what you have never seen requires you to stretch your imagination, because we are prone to discount and devalue things that we have not seen. We are skeptical about things that have never been seen, never been done, never been achieved, or never been accomplished.

Because according to our limited logic if it’s never been seen, never been done, never been achieved, or never been accomplished, then it’s not likely to be seen, not likely to be done, not likely to be achieved, and not likely to be accomplished. Therefore, we see no need to attempt it, try it, believe it, or invest in it because while we’ll acknowledge that it’s possible, we quickly add it’s not probable, because our idea of likelihood is limited by our experience. My experiences working for NASA have stretched me to an amazing place of accountability, assurance, and mission success.

Question: How can we work together better to achieve mission success?

Truss: Again, by listening to all sides and making informed decisions, being held accountable, and speaking up for what is safe when we need to do so.

Smith, a Media Fusion employee and the Marshall Star editor, supports the Marshall Office of Communications.

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That’s the Spirit: Marshall Team Members Show Support at Community Softball Game

NASA shows its team spirit during the Armed Forces Celebration Community Softball Game on June 12 at Toyota Field. Marshall Space Flight Center’s Robert Champion and Jason Adam joined Team Redstone to take on the North Alabama Rockets, made up of community leaders.

NASA shows its team spirit during the Armed Forces Celebration Community Softball Game on June 12 at Toyota Field. Marshall Space Flight Center’s Robert Champion and Jason Adam joined Team Redstone to take on the North Alabama Rockets, made up of community leaders. (Huntsville Sports Commission)

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Coming in Hot: NASA’s Chandra Checks Habitability of Exoplanets

This graphic shows a three-dimensional map of stars near the Sun. These stars are close enough that they could be prime targets for direct imaging searches for planets using future telescopes. The blue haloes represent stars that have been observed with NASA’s Chandra X-ray Observatory and ESA’s XMM-Newton. The yellow star at the center of this diagram represents the position of the Sun. The concentric rings show distances of 5, 10, and 15 parsecs (one parsec is equivalent to roughly 3.2 light-years).

Astronomers are using these X-ray data to determine how habitable exoplanets may be based on whether they receive lethal radiation from the stars they orbit, as described in a press release. This type of research will help guide observations with the next generation of telescopes aiming to make the first images of planets like Earth.

This video shows a three-dimensional map of stars near the Sun on the left side of the screen and a dramatic illustration of a star with a planet orbiting around it on the right side.
Movie: Cal Poly Pomona/B. Binder; Illustration: NASA/CXC/M.Weiss

Researchers examined stars that are close enough to Earth that telescopes set to begin operating in the next decade or two – including the Habitable Worlds Observatory in space and Extremely Large Telescopes on the ground – could take images of planets in the stars’ so-called habitable zones. This term defines orbits where the planets could have liquid water on their surfaces.

There are several factors influencing what could make a planet suitable for life as we know it. One of those factors is the amount of harmful X-rays and ultraviolet light they receive, which can damage or even strip away the planet’s atmosphere.

Based on X-ray observations of some of these stars using data from Chandra and XMM-Newton, the research team examined which stars could have hospitable conditions on orbiting planets for life to form and prosper. They studied how bright the stars are in X-rays, how energetic the X-rays are, and how much and how quickly they change in X-ray output, for example, due to flares. Brighter and more energetic X-rays can cause more damage to the atmospheres of orbiting planets.

The researchers used almost 10 days of Chandra observations and about 26 days of XMM observations, available in archives, to examine the X-ray behavior of 57 nearby stars, some of them with known planets. Most of these are giant planets like Jupiter, Saturn or Neptune, while only a handful of planets or planet candidates could be less than about twice as massive as Earth.

These results were presented at the 244th meeting of the American Astronomical Society meeting in Madison, Wisconsin, by Breanna Binder (California State Polytechnic University in Pomona).

NASA’s Marshall Space Flight Center manages the Chandra program. The Smithsonian Astrophysical Observatory’s Chandra X-ray Center controls science from Cambridge, Massachusetts and flight operations from Burlington, Massachusetts.

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NASA Announces New System to Aid Disaster Response

In early May, widespread flooding and landslides occurred in the Brazilian state of Rio Grande do Sul, leaving thousands of people without food, water, or electricity. In the following days, NASA teams provided data and imagery to help on-the-ground responders understand the disaster’s impacts and deploy aid.

Building on this response and similar successes, on June 13, NASA announced a new system to support disaster response organizations in the U.S. and around the world.

people in search-and-rescue attire stand among rubble
Members of the Los Angeles County Fire Department’s Urban Search and Rescue team in Adiyaman, Turkey, conducting rescue efforts in the wake of powerful earthquakes that struck the region in February 2023. NASA provided maps and data to support USAID and other regional partners during these earthquakes.
USAID

“When disasters strike, NASA is here to help – at home and around the world,” said NASA Administrator Bill Nelson. “As challenges from extreme weather grow, so too does the value of NASA’s efforts to provide critical Earth observing data to disaster-response teams on the frontlines. We’ve done so for years. Now, through this system, we expand our capability to help power our U.S. government partners, international partners, and relief organizations across the globe as they take on disasters – and save lives.”

The team behind NASA’s Disaster Response Coordination System gathers science, technology, data, and expertise from across the agency and provides it to emergency managers. The new system will be able to provide up-to-date information on fires, earthquakes, landslides, floods, tornadoes, hurricanes, and other extreme events.

“The risk from climate-related hazards is increasing, making more people vulnerable to extreme events,” said Karen St. Germain, director of NASA’s Earth Science Division. “This is particularly true for the 10% of the global population living in low-lying coastal regions who are vulnerable to storm surges, waves and tsunamis, and rapid erosion. NASA’s disaster system is designed to deliver trusted, actionable Earth science in ways and means that can be used immediately, to enable effective response to disasters and ultimately help save lives.”

Agencies working with NASA include the Federal Emergency Management Agency, the National Oceanic and Atmospheric Administration (NOAA), the U.S. Geological Survey, and the U.S. Agency for International Development – as well as international organizations such as World Central Kitchen.

“With this deliberate and structured approach, we can be even more effective in putting Earth science into action,” said Josh Barnes, at NASA’s Langley Research Center. Barnes manages the Disaster Response Coordination System.

NASA Administrator Bill Nelson delivers remarks June 13 during an event launching a new Disaster Response Coordination System that will provide communities and organizations around the world with access to science and data to aid disaster response.
NASA Administrator Bill Nelson delivers remarks June 13 during an event launching a new Disaster Response Coordination System that will provide communities and organizations around the world with access to science and data to aid disaster response.
NASA/Bill Ingalls

NASA Disasters Team Aiding Brazil

When the floods and landslides ravaged parts of Brazil in May, officials from the U.S. Southern Command – working with the U.S. Space Force and Air Force, and regional partners – reached out to NASA for Earth-observing data.

NASA’s response included maps of potential power outages from the Black Marble project at NASA’s Goddard Space Flight Center. Disaster response coordinators at NASA Goddard also reviewed high-resolution optical data – from the Commercial Smallsat Data Acquisition Program – to map more than 4,000 landslides.

Response coordinators from NASA’s Jet Propulsion Laboratory and the California Institute of Technology produced flood extent maps using data from the NASA and U.S. Geological Survey Landsat mission and from ESA’s (the European Space Agency) Copernicus Sentinel-2 satellite. Response coordinators at NASA’s Johnson Space Center also provided photographs of the flooding taken by astronauts aboard the International Space Station.

Building on Previous Work

The Brazil event is just one of hundreds of responses NASA has supported over the past decade. The team aids decision-making for a wide range of natural hazards and disasters, from hurricanes and earthquakes to tsunamis and oil spills. 

“NASA’s Disasters Program advances science for disaster resilience and develops accessible resources to help communities around the world make informed decisions for disaster planning,” said Shanna McClain, manager of NASA’s Disasters Program. “The new Disaster Response Coordination System significantly expands our efforts to bring the power of Earth science when responding to disasters.”

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      Quantifying Uncertainty In Kelp Canopy Remote Sensing Using the Harmonized Landsat Sentinel-2 Dataset
      Atticus Cummings
      California’s giant kelp forests serve as a major foundation for the region’s rich marine biodiversity and provide recreational and economic value to the State of California. With the rising frequency of marine heatwaves and extreme weather onset by climate change, it has become increasingly important to study these vital ecosystems. Kelp forests are highly dynamic, changing across several timescales; seasonally due to nutrient concentrations, waves, and predator populations, weekly with typical growth and decay, and hourly with the tides and currents. Previous remote sensing of kelp canopies has relied on Landsat imagery taken with a eight-day interval, limiting the ability to quantify more rapid changes. This project aims to address uncertainty in kelp canopy detection using the Harmonized Landsat and Sentinel-2 (HLS) dataset’s zero to five-day revisit period. A random forest classifier was used to identify pixels that contain kelp, on which Multiple Endmember Spectral Mixture Analysis (MESMA) was then run to quantify intrapixel kelp density. Processed multispectral satellite images taken within 3 days of one another were paired for comparison. The relationship between fluctuations in kelp canopy density with tides and currents was assessed using in situ data from an acoustic doppler current profiler (ADCP) at the Santa Barbara Long Term Ecological Research site (LTER) and a NOAA tidal buoy. Preliminary results show that current and tidal trends cannot be accurately correlated with canopy detection due to other sources of error. We found that under cloud-free conditions, canopy detection between paired images varied on average by 42%. Standardized image processing suggests that this uncertainty is not created within the image processing step, but likely arises due to exterior factors such as sensor signal noise, atmospheric conditions, and sea state. Ultimately, these errors could lead to misinterpretation of remotely sensed kelp ecosystems, highlighting the need for further research to identify and account for uncertainties in remote sensing of kelp canopies.

      Jasmine Sirvent
      Kelp Us!: A Methods Analysis for Predicting Kelp Pigment Concentrations from Hyperspectral Reflectance
      Jasmine Sirvent
      Ocean color remote sensing enables researchers to assess the quantity and physiology of life in the ocean, which is imperative to understanding ecosystem health and formulating accurate predictions. However, without proper methods to analyze hyperspectral data, correlations between spectral reflectance and physiological traits cannot be accurately derived. In this study, I explored different methods—single variable regression, partial least squares regressions (PLSR), and derivatives—in analyzing in situ Macrocystis pyrifera (giant kelp) off the coast of Santa Barbara, California in order to predict pigment concentrations from AVIRIS hyperspectral reflectance. With derivatives as a spectral diagnostic tool, there is evidence suggesting high versus low pigment concentrations could be diagnosed; however, the fluctuations were within 10 nm of resolution, thus AVIRIS would be unable to reliably detect them. Exploring a different method, I plotted in situ pigment measurements — chlorophyll a, fucoxanthin, and the ratio of fucoxanthin to chlorophyll a—against hyperspectral reflectance that was resampled to AVIRIS bands. PLSR proved to be a more successful model because of its hyperdimensional analysis capabilities in accounting for multiple wavelength bands, reaching R2 values of 0.67. Using this information, I constructed a model that predicts kelp pigments from simulated AVIRIS reflectance using a spatial time series of laboratory spectral measurements and photosynthetic pigment concentrations. These results have implications, not only for kelp, but many other photosynthetic organisms detectable by hyperspectral airborne or satellite sensors. With these findings, airborne optical data could possibly predict a plethora of other biogeochemical traits. Potentially, this research would permit scientists to acquire data analogous to in situ measurements about floating matters that cannot financially and pragmatically be accessed by anything other than a remote sensor.

      Isabelle Cobb
      Correlations Between SSHa and Chl-a Concentrations in the Northern South China Sea
      Isabelle Cobb
      Sea surface height anomalies (SSHa)–variations in sea surface height from climatological averages–occur on seasonal timescales due to coastal upwelling and El Niño-Southern Oscillation (ENSO) cycles. These anomalies are heightened when upwelling plumes bring cold, nutrient-rich water to the surface, and are particularly strong along continental shelves in the Northern South China Sea (NSCS). This linkage between SSHa and nutrient availability has interesting implications for changing chlorophyll-a (chl-a) concentrations, a prominent indicator of phytoplankton biomass that is essential to the health of marine ecosystems. Here, we evaluate the long-term (15 years) relationship between SSHa and chl-a, in both satellite remote sensing data and in situ measurements. Level 3 SSHa data from Jason 1/2/3 satellites and chl-a data from MODIS Aqua were acquired and binned to monthly resolution. We found a significant inverse correlation between SSHa and chl-a during upwelling months in both the remote sensing (Spearman’s R=-0.57) and in situ data, with higher resolution in situ data from ORAS4 (an assimilation of buoy observations from 2003-2017) showing stronger correlations (Spearman’s R=-0.75). In addition, the data reveal that the magnitude of SSH increases with time during instances of high correlation, possibly indicating a trend of increased SSH associated with reduced seasonal chl-a concentrations. Thus, this relationship may inform future work predicting nutrient availability and threats to marine ecosystems as climate change continues to affect coastal sea surface heights.

      Alyssa Tou
      Exploring Coastal Sea Surface Temperature Anomalies and their effect on Coastal Fog through analyzing Plant Phenology
      Alyssa Tou
      Marine heat waves (MHW) have been increasing in frequency, duration and intensity, giving them substantial potential to influence ecosystems. Do these MHWs sufficiently enhance coastal precipitation such that plant growth is impacted? Recently, the Northeast Pacific experienced a long, intense MHW in 2014/2015, and another short, less intense MHW in 2019/2020. Here we investigate how the intensity and duration of MHWs influence the intensity and seasonal cycle of three different land cover types (‘grass’, ‘trees’, and a combination of both ‘combined’’) to analyze plant phenology trends in Big Sur, California. We hypothesize that longer intense MHWs decrease the ocean’s evaporative capacity, decreasing fog, thus lowering plant productivity, as measured by Normalized Difference Vegetation Index (NDVI). Sea surface temperature (SST) and NDVI data were collected from the NOAA Coral Reef Watch, and NASA MODIS/Terra Vegetation Indices 16-Day L3 Global 250m products respectively. Preliminary results show no correlation (R2=0.02) between SSTa and combined NDVI values and no correlation (R2=0.01) between SST and NDVI. This suggests that years with anomalously high SST do not significantly impact plant phenology. During the intense and long 2014/2015 MHW, peak NDVI values for ‘grass’ and ‘combined’ pixels were 2.0 and 1.7 standard deviations above the climatological average, while the shorter 2019/2020 MHW saw higher peaks of 3.2 and 2.4 standard deviations. However, the ‘grass’, ‘tree’ and ‘combined’ NDVI anomalies were statistically insignificant during both MHWs, showing that although NDVI appeared to increase during the shorter and less intense MHW, these values may be attributed to other factors. The data qualitatively suggest that MHW’s don’t impact the peak NDVI date, but more data at higher temporal resolution are necessary. Further research will involve analyzing fog indices and exploring confounding variables impacting NDVI, such as plant physiology, anthropogenic disturbance, and wildfires. In addition, it’s important to understand to what extent changes in NDVI are attributed to the driving factors of MHWs or the MHWs themselves. Ultimately, mechanistically understanding the impacts MHW intensity and duration have on terrestrial ecosystems will better inform coastal community resilience.


      Return to 2024 SARP Closeout Share
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      Last Updated Nov 22, 2024 Related Terms
      General Explore More
      10 min read SARP East 2024 Atmospheric Science Group
      Article 21 mins ago 10 min read SARP East 2024 Hydroecology Group
      Article 21 mins ago 11 min read SARP East 2024 Terrestrial Fluxes Group
      Article 22 mins ago View the full article
    • NASA
      SARP East 2024 Atmospheric Science Group
      By NASA
      10 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Return to 2024 SARP Closeout Faculty Advisors:
      Dr. Guanyu Huang, Stony Brook University
      Graduate Mentor:
      Ryan Schmedding, McGill University

      Ryan Schmedding, Graduate Mentor
      Ryan Schmedding, graduate mentor for the 2024 SARP Atmospheric Science group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.
      Danielle Jones
      Remote sensing of poor air quality in mountains: A case study in Kathmandu, Nepal
      Danielle Jones
      Urban activity produces particulate matter in the atmosphere known as aerosol particles. These aerosols can negatively affect human health and cause changes to the climate system. Measures for aerosols include surface level PM2.5 concentration and aerosol optical depth (AOD). Kathmandu, Nepal is an urban area that rests in a valley on the edge of the Himalayas and is home to over three million people. Despite the prevailing easterly winds, local aerosols are mostly concentrated in the valley from the residential burning of coal followed by industry. Exposure to PM2.5 has caused an estimated ≥8.6% of deaths annually in Nepal. We paired NASA satellite AOD and elevation data, model  meteorological data, and local AirNow PM2.5 and air quality index (AQI) data to determine causes of variation in pollutant measurement during 2023, with increased emphasis on the post-monsoon season (Oct. 1 – Dec. 31). We see the seasonality of meteorological data related to PM2.5 and AQI. During periods of low temperature, low wind speed, and high pressure, PM2.5 and AQI data slightly diverge. This may indicate that temperature inversions increase surface level concentrations of aerosols but have little effect on the total air column. The individual measurements of surface pressure, surface temperature, and wind speed had no observable correlation to AOD (which was less variable than PM2.5 and AQI over the entire year). Elevation was found to have no observable effect on AOD during the period of study. Future research should focus on the relative contributions of different pollutants to the AQI to test if little atmospheric mixing causes the formation of low-altitude secondary pollutants in addition to PM2.5 leading to the observed divergence in AQI and PM2.5.

      Madison Holland
      Analyzing the Transport and Impact of June 2023 Canadian Wildfire Smoke on Surface PM2.5 Levels in Allentown, Pennsylvania
      Madison Holland
      The 2023 wildfire season in Canada was unparalleled in its severity. Over 17 million hectares burned, the largest area ever burned in a single season. The smoke from these wildfires spread thousands of kilometers, causing a large population to be exposed to air pollution. Wildfires can release a variety of air pollutants, including fine particulate matter (PM2.5). PM2.5 directly affects human health – exposure to wildfire-related PM2.5 has been associated with respiratory issues such as the exacerbation of asthma and chronic obstructive pulmonary disease. In June 2023, smoke from the Canadian wildfires drifted southward into the United States. The northeastern United States reported unhealthy levels of air quality due to the transportation of the smoke. In particular, Pennsylvania reported that Canadian wildfires caused portions of the state to have “Hazardous” air quality. Our research focused on how Allentown, PA experienced hazardous levels of air quality from this event. To analyze the concentrations of PM2.5 at the surface level, NASA’s Hazardous Air Quality Ensemble System (HAQES) and the EPA’s Air Quality System (AQS) ground-based site data were utilized. By comparing HAQES’s forecast of hazardous air quality events with recorded daily average PM2.5 with the EPA’s AQS, we were able to compare how well the ensemble system was at predicting total PM2.5 during unhealthy air quality days. NOAA’s Hybrid Single-Particle Lagrangian Integrated Trajectory model, pyrsig, and the Canadian National Fire Database were used. These datasets revealed the trajectory of aerosols from the wildfires to Allentown, Pennsylvania, identified the densest regions of the smoke plumes, and provided a map of wildfire locations in southeastern Canada. By integrating these datasets, we traced how wildfire smoke transported aerosols from the source at the ground level.

      Michele Iraci
      Trends and Transport of Tropospheric Ozone From New York City to Connecticut in the Summer of 2023
      Michele Iraci
      Tropospheric Ozone, or O₃, is a criteria pollutant contributing to most of Connecticut and New York City’s poor air quality days. It has adverse effects on human health, particularly for high-risk individuals. Ozone is produced by nitrogen oxides and volatile organic compounds from fuel combustion reacting with sunlight. The Ozone Transport Region (OTR) is a collection of states in the Northeast and Mid-Atlantic United States that experience cross-state pollution of O₃. Connecticut has multiple days a year where O₃ values exceed the National Ambient Air Quality Standards requiring the implementation of additional monitoring and standards because it falls in the OTR. Partially due to upstream transport from New York City, Connecticut experiences increases in O₃ concentrations in the summer months. Connecticut has seen declines in poor air quality days from O₃ every year due to the regulations on ozone and its precursors. We use ground-based Lidar, Air Quality System data, and a back-trajectory model to examine a case of ozone enhancement in Connecticut caused by air pollutants from New York between June and August 2023. In this time period, Connecticut’s ozone enhancement was caused by air pollutants from New York City. As a result, New York City and Connecticut saw similar O₃ spikes and decline trends. High-temperature days increase O₃ in both places, and wind out of the southwest may transport O₃ to Connecticut. Production and transport of O₃ from New York City help contribute to Connecticut’s poor air quality days, resulting in the need for interstate agreements on pollution management.

      Stefan Sundin
      Correlations Between the Planetary Boundary Layer Height and the Lifting Condensation Level
      Stefan Sundin
      The Planetary Boundary Layer (PBL) characterizes the lowest layer in the atmosphere that is coupled with diurnal heating at the surface. The PBL grows during the day as solar heating causes pockets of air near the surface to rise and mix with cooler air above. Depending on the type of terrain and surface albedo that receives solar heating, the depth of the PBL can vary to a great extent. This makes PBL height (PBLH) a difficult variable to quantify spatially and temporally. While several methods have been used to obtain the PBLH such as wind profilers and lidar techniques, there is still a level of uncertainty associated with PBLH. One method of predicting seasonal PBLH fluctuation and potentially lessening uncertainty that will be discussed in this study is recognizing a correlation in PBLH with the lifting condensation level (LCL). Like the PBL, the LCL is used as a convective parameter when analyzing upper air data, and classifies the height in the atmosphere at which a parcel becomes saturated when lifted by a forcing mechanism, such as a frontal boundary, localized convergence, or orographic lifting. A reason to believe that PBLH and LCL are interconnected is their dependency on both the amount of surface heating and moisture that is present in the environment. These thermodynamic properties are of interest in heavily populated metropolitan areas within the Great Plains, as they are more susceptible to severe weather outbreaks and associated economic losses. Correlations between PBLH and LCL over the Minneapolis-St. Paul metropolitan statistical area during the summer months of 2019-2023 will be discussed.

      Angelica Kusen
      Coupling of Chlorophyll-a Concentrations and Aerosol Optical Depth in the Subantarctic Southern Ocean and South China Sea (2019-2021)
      Angelica Kusen
      Air-sea interactions form a complex feedback mechanism, whereby aerosols impact physical and biogeochemical processes in marine environments, which, in turn, alter aerosol properties. One key indicator of these interactions is chlorophyll-a (Chl-a), a pigment common to all phytoplankton and a widely used proxy for primary productivity in marine ecosystems. Phytoplankton require soluble nutrients and trace metals for growth, which typically come from oceanic processes such as upwelling. These nutrients can also be supplied via wet and dry deposition, where atmospheric aerosols are removed from the atmosphere and deposited into the ocean. To explore this interaction, we analyze the spatial and temporal variations of satellite-derived chl-a and AOD, their correlations, and their relationship with wind patterns in the Subantarctic Southern Ocean and the South China Sea from 2019 to 2021, two regions with contrasting environmental conditions.
      In the Subantarctic Southern Ocean, a positive correlation (r²= 0.26) between AOD and Chl-a was found, likely due to dust storms following Austrian wildfires. Winds deposit dust aerosols rich in nutrients, such as iron, to the iron-limited ocean, enhancing phytoplankton photosynthesis and increasing chl-a. In contrast, the South China Sea showed no notable correlation (r² = -0.02) between AOD and chl-a. Decreased emissions due to COVID-19 and stricter pollution controls likely reduced the total AOD load and shifted the composition of aerosols from anthropogenic to more natural sources.
      These findings highlight the complex interrelationship between oceanic biological activity and the chemical composition of the atmosphere, emphasizing that atmospheric delivery of essential nutrients, such as iron and phosphorus, promotes phytoplankton growth. Finally, NASA’s recently launched PACE mission will contribute observations of phytoplankton community composition at unprecedented scale, possibly enabling attribution of AOD levels to particular groups of phytoplankton.

      Chris Hautman
      Estimating CO₂ Emission from Rocket Plumes Using in Situ Data from Low Earth Atmosphere
      Chris Hautman
      Rocket emissions in the lower atmosphere are becoming an increasing environmental concern as space exploration and commercial satellite launches have increased exponentially in recent years. Rocket plumes are one of the few known sources of anthropogenic emissions directly into the upper atmosphere. Emissions in the lower atmosphere may also be of interest due to their impacts on human health and the environment, in particular, ground level pollutants transported over wildlife protected zones, such as the Everglades, or population centers near launch sites. While rockets are a known source of atmospheric pollution, the study of rocket exhaust is an ongoing task. Rocket exhaust can have a variety of compositions depending on the type of engine, the propellants used, including fuels, oxidizers, and monopropellants, the stoichiometry of the combustion itself also plays a role. In addition, there has been increasing research into compounds being vaporized in atmospheric reentry. These emissions, while relatively minimal compared to other methods of travel, pose an increasing threat to atmospheric stability and environmental health with the increase in human space activity. This study attempts to create a method for estimating the total amount of carbon dioxide released by the first stage of a rocket launch relative to the mass flow of RP-1, a highly refined kerosene (C₁₂H₂₆)), and liquid oxygen (LOX) propellants. Particularly, this study will focus on relating in situ CO₂ emission data from a Delta II rocket launch from Vandenberg Air Force Base on April 15, 1999, to CO₂ emissions from popular modern rockets, such as the Falcon 9 (SpaceX) and Soyuz variants (Russia). The findings indicate that the CO₂ density of any RP-1/LOX rocket is 6.9E-7 times the mass flow of the sum of all engines on the first stage. The total mass of CO₂ emitted can be further estimated by modeling the volume of the plume as cylindrical. Therefore, the total mass can be calculated as a function of mass flow and first stage main engine cutoff. Future CO₂ emissions on an annual basis are calculated based on these estimations and anticipated increases in launch frequency.


      Return to 2024 SARP Closeout Share
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      Last Updated Nov 22, 2024 Related Terms
      General Explore More
      8 min read SARP East 2024 Ocean Remote Sensing Group
      Article 21 mins ago 10 min read SARP East 2024 Hydroecology Group
      Article 21 mins ago 11 min read SARP East 2024 Terrestrial Fluxes Group
      Article 22 mins ago View the full article
    • NASA
      SARP East 2024 Hydroecology Group
      By NASA
      10 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Return to 2024 SARP Closeout Faculty Advisors:
      Dr. Dom Ciruzzi, College of William & Mary
      Graduate Mentor:
      Marley Majetic, Pennsylvania State University

      Marley Majetic, Graduate Mentor
      Marley Majetic, graduate mentor for the 2024 SARP Hydroecology group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.
      Jordan DiPrima
      How are different land cover types affected by land subsidence on the U.S. Atlantic Coast?
      Jordan DiPrima
      Land subsidence is a frequently overlooked geologic hazard that is caused by natural processes and, more recently, anthropogenic stressors. The goal of this study is to observe subsidence trends and hotspots among land cover types on Virginia’s Eastern Shore and Long Island, New York. This study utilizes interferometric synthetic aperture radar, or InSAR, satellite data from Sentinel-1 to map vertical land motion from 2017 to 2023. Land cover data were sourced from Landsat 8 satellite imagery. Subsidence was mapped within the following land cover types on the Eastern Shore: urban, wetland, cropland, temperate or sub-polar grassland, temperate or sub-polar shrubland, mixed forest, and temperate or subpolar needleleaf forest. These land cover types have mean vertical velocities ranging from -0.2 mm/yr to -5.2 mm/yr. Results suggest that land subsidence is most severe in cropland areas on the Eastern Shore, with a mean vertical velocity of -5.2 mm/yr. In contrast, wetlands display the most subsidence on Long Island with a mean vertical velocity of -2.1 mm/yr. Long Island lacked distinct trends among land cover types and instead showed evidence of subsidence hotspots. These hotspots exist in the following land cover types: temperate or sub-polar grassland, barren lands, wetland, cropland, and temperate or sub-polar broadleaf deciduous forest. Overall, Eastern Shore croplands and Long Island wetlands were determined to be the most susceptible land cover types. These findings highlight regions at risk of sea level rise, flooding, and coastal erosion as a result of subsidence. With further research, we can map subsiding landscapes on a global scale to improve resource allocation and mitigation techniques.

      Isabelle Peterson
      Total Thermokarst Lake Changes on the Seward Peninsula, Alaska: 2016 to 2024
      Isabelle Peterson
      Thermokarst landscapes have and will continue to change as the arctic landscape warms due to climate change. Permafrost underlies much of these arctic landscapes, and as it melts, thermokarst landscapes are left behind. The Seward Peninsula in Alaska has an abundance of these landscapes, and thermokarst lakes are present in the northernmost portion. Several lakes have come and gone, but with increasing climate instability and warming of the area, there is a possibility of more permafrost melting, creating more of these lakes. To capture these changes, Harmonized Landsat Sentinel-2 (HLS) imagery were used to create annual lake maps of the northern portion of the Seward Peninsula from 2016 to 2024. Much of the methodology was informed from Jones et al. (2011); however, their study used eCognition, while the present study used ArcGIS Pro. This caused some differences in results likely due to the differences in software, satellite imagery, and the proposed study area. Lake number changes were observed annually. From this annual change, several 10 to 40 ha lakes disappeared and reappeared within the study period, along with smaller lakes filling in where larger lakes once were. Thermokarst lake drainage is a process described by Jones and Arp (2015) which has devastating geomorphological impacts on the surrounding area, creating large drainage troughs which diminish surrounding permafrost in a quick time frame. To capture these events and overall changes, satellite imagery is essential. This is especially true in remote regions which are hard to reach by foot and require flight missions to be scheduled over the area for aerial photography. However, LVIS and other higher resolution aerial instruments would provide higher accuracy when identifying smaller lakes, as satellite imagery does not accurately capture lakes below 1 ha in the study area. This assertion is made due to conflicting results compared to Jones et al (2011). While the methodologies of this study have been executed manually, Qin, Zhang, and Lu (2023) have proposed the idea of using Sentinel-2 imagery to map thermokarst lakes through automatic methods. While automatization has not yet been perfected, the potential is there and can be used to analyze thermokarst areas effectively. With more satellite imagery, annual, monthly, and potentially daily changes can be captured in favorable months to monitor changing landscapes in arctic regions. Thermokarst lakes have been changing, and monitoring them can help in the process of understanding the changing climate in arctic areas, especially through the lens melting permafrost.

      Emmanelle Cuasay
      Finding Refuge in Climate Crisis: Analyzing the Differences between Refugia and Non-Refugia in the Northern Philippines Using Remote Sensing
      Emmanelle Cuasay
      Refugia are areas that are characterized by stable environmental conditions that can act as a refuge for species as Earth’s climate warms. In this study, fourteen Harmonized Landsat Sentinel-2 images from February 2014 – March 2024 of the northern Philippines region were used. The region of interest is the terrestrial biome by Lake Taal. Normalized Difference Vegetation Index (NDVI) maps were created from all fourteen images to determine the NDVI 25th highest quartiles of the long-term average NDVI images and of a dry and wet year NDVI image. These values were then used to create refugia and non-refugia maps using ArcGIS Pro. Land cover data from Sentinel-2 and a digital elevation model (DEM), using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), were plotted in ArcGIS Pro to determine the slope and aspect of the area. Global Ecosystems Dynamics Investigation (GEDI) data were used to look at forest height of the study area, and the distribution of forest height, slope, aspect, and elevation were plotted to determine their probability densities in refugia and non-refugia areas. Results of this study show increased biomass in refugia areas. This suggests that conservation practices are crucial to aid in the preservation of biodiversity and biomass within these refugia areas.

      Jayce Crayne
      Site-Based Observations of a Saharan Dust Storm’s Impacts on Evapotranspiration in North-Central Florida
      Jayce Crayne
      Saharan dust storms serve an important role in the western Atlantic’s climate in their contribution to Earth’s radiation budget, modulating sea surface temperatures (SSTs), fertilizing ecosystems, and suppressing cloud and precipitation patterns (Yuan et al., 2020). However, Saharan dust storms are expected to become less frequent in this region as SSTs continue to rise (Yuan et al., 2020). Predicting the climate response to this change requires a keen understanding of how the presence of these storms affect evapotranspiration (ET) and its indicators. This study utilizes site-based observational data from an AmeriFlux tower near Gainesville, FL recorded during a large dust storm in late June 2020. The storm’s progression was documented using satellite imagery from Aqua and Terra and aerosol optical depth (AOD) measurements from an Aerosol Robotic Network (AERONET) station co-located with the AmeriFlux tower. Indicators of ET such as surface air temperature, vapor pressure deficit, photosynthetic photon flux density, and net radiation were analyzed. Findings were compared to modeled ET and latent energy flux reanalysis data provided by the Global Land Data Assimilation System (GLDAS). Both model simulations and on-site observations support that ET decreased during the days dust concentrations were heaviest and for a short time thereafter. Cloud cover data adopted from meteorological aerodrome reports (METARs) provided by an automated surface observing system (ASOS) located in Gainesville showed that clouds were not a major contributor in decreasing ET during the days of heaviest dust. The results of this study show a considerable decrease in ET as a result of dust aerosols. Further research is necessary to determine whether changes in ET due to Saharan dust storms are significant enough to alter climates in the western Atlantic and, if so, what the climate response will be if the frequency of storms decreases.

      Brandon Wilson
      Predicting 2025 and 2028 dNBR and dNDIV for Csarf Smith River Complex / Evaluating the Effects of 2019 California Wildfire Fund
      Brandon Wilson
      Biodiverse regions across California remain vulnerable to harmful wildfires year round. Quantifying and measuring these regions’ wildfire resilience is necessary for understanding where/how to allocate environmental resources. Several ecological wildfire studies have been conducted utilizing artificial intelligence and remote sensing to analyze and predict biodiversity damage across wildfire prone regions, including Northern Algeria and Arkansas, USA. The current case study aims to analyze biodiversity damage from the 2023 Csarf Smith River Complex Fire in Six Rivers National Forest, California and predict the difference in Normalized Burn Ratio (dNBR) and difference in Normalized Difference Vegetation Index (dNDVI) for 2025 and 2028 using remote-sensing-based random forest (RF) regression. Furthermore, to observe, holistically, a practical method California has implemented to address state-wide wildfire damage, the 2019 California Wildfire Fund (AB 1054 and AB 111) was evaluated using the synthetic control method (SCM). For this case study, remote sensing data from the United States Geological Survey (USGS) and NASA (Landsat 9 Satellite C2 L2, TerraClimate and the Land Data Assimilation System) were utilized for processing relevant spectral indexes for the RF. Data from NOAA, Energy Information Agency, International Monetary Fund and Bureau of Economic Analysis were utilized as synthetic control datasets to evaluate the effects of the 2019 California Wildfire Fund. Elevated topography in this study area is susceptible to high severity burn effects, while less elevated topography burns less. This result affected dNBR and dNDVI predictions as elevated areas seemingly did not have strong resilience to rampant burns. This demonstrates a direct correlation to potential lower transpiration rates for elevated areas, warranting further analysis. Results of low variance, post-treatment, between the treated unit and the synthetic control unit, poses concern for the positive effect of the 2019 Wildfire Fund.

      Carrie Hashimoto
      Describing changes in evapotranspiration following the 2020 Creek Fire in the southern Sierra Nevada
      Carrie Hashimoto
      Climatic warming and high tree density have caused larger and more severe wildfires to occur in western United States forests over time. Wildfires affect both the hydrology and ecology of forests via alterations to the water balance (e.g., evapotranspiration, streamflow, infiltration, and more) and could shift vegetation communities and subsequent ecosystem structure and function. This project explores ecological characteristics of a landscape that predict the extent to which the Creek Fire in the southern Sierra Nevada has affected evapotranspiration. Strides in understanding of consequential evapotranspiration changes can create pathways to address emerging forest health challenges posed by similar western fires. For analysis, various remote sensing and modeled data were collected from OpenET, the North American Land Data Assimilation System, TerraClimate, Harmonized LandSat Sentinel-2 data, and the Shuttle Radar Topography Mission. Multiple linear regression and generalized additive models were constructed. Relative change in evapotranspiration served as the response variable. Model covariates included average temperature, total precipitation in the preceding months, average soil moisture, elevation, slope, aspect, northness, latitude, pre-fire normalized difference vegetation index (NDVI), and post-fire change in normalized burn ratio (dNBR). Best subset selection with cross validation demonstrated minimization of cross-validation error with a 7-covariate model. This reduced model yields lower complexity and more interpretability while sustaining an adjusted R2 of 0.626, compared to the full model’s adjusted R2 of 0.663. A reduced generalized additive model (GAM) with interaction terms drawn from the linear model variable selection demonstrated an adjusted R2 of 0.695, indicating a better fit that comes at the cost of reduced interpretability and higher computational requirements than the linear models. The goal of this work is to disentangle environmental indicators of post-fire evapotranspiration change, such that predictive modeling of future wildfire impacts on evapotranspiration can be achieved.


      Return to 2024 SARP Closeout Share
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      Last Updated Nov 22, 2024 Related Terms
      General Explore More
      8 min read SARP East 2024 Ocean Remote Sensing Group
      Article 21 mins ago 10 min read SARP East 2024 Atmospheric Science Group
      Article 21 mins ago 11 min read SARP East 2024 Terrestrial Fluxes Group
      Article 22 mins ago View the full article
    • NASA
      SARP East 2024 Terrestrial Fluxes Group
      By NASA
      11 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Return to 2024 SARP Closeout Faculty Advisors:
      Dr. Lisa Haber, Virginia Commonwealth University
      Dr. Brandon Alveshere, Virginia Commonwealth University
      Dr. Chris Gough, Virginia Commonwealth University
      Graduate Mentor:
      Mindy Priddy, Virginia Commonwealth University

      Mindy Priddy, Graduate Mentor
      Mindy Priddy, graduate mentor for the 2024 SARP Terrestrial Fluxes group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.

      Angelina De La Torre
      Using NDVI as a Proxy for GPP to Predict Carbon Dioxide Fluxes
      Angelina De La Torre
      Climate change, driven primarily by greenhouse gases, poses a threat to the future of our planet. Among these gases is carbon dioxide (CO₂), which has a much longer atmospheric residence time compared to other greenhouse gases. One potential factor in reducing atmospheric CO₂ enrichment is plant productivity. Gross Primary Productivity (GPP) estimates the amount of CO₂ fixed during photosynthesis. The Normalized Difference Vegetation Index (NDVI) provides insight into the health of an ecosystem by measuring the density and greenness of vegetation. Therefore, it can be inferred that there is a relationship between NDVI and GPP, as greener plants are likely more productive. In this study, we used NDVI as a proxy for GPP and analyzed the effect NDVI had on CO₂ fluxes during California’s wet season between January and March 2023 in a restored tidal freshwater wetland. GPP and CO₂ flux data were obtained from the Dutch Slough AmeriFlux tower in Oakley, California. Landsat data were used to calculate the average NDVI. The influence of NDVI on GPP was assessed using linear regression. A second linear regression was then performed using NDVI and CO₂ flux, of which GPP is one component. We anticipate that wetlands with greater vegetation density will have lower CO₂ emissions.

      Because Landsat data scans in 16-day intervals, daily variation in NDVI could not be observed. This translates to a frequency discrepancy between the Landsat and AmeriFlux data, as AmeriFlux towers measure in half-hour intervals. Additionally, the wet season represented was limited by data availability, as the data before 2023 were unavailable. Despite data limitations in this study, the outlined process could be repeated in various wetland and climate classifications for further analysis of a larger sample size. This study could assist in developing strategies to increase CO₂ sequestration in an attempt to slow the effects of climate change.

      Samarth Jayadev
      Using Machine Learning to Assess Relationships between NDVI and Net Carbon Exchange During the COVID-19 Pandemic
      Samarth Jayadev
      Understanding the movement of carbon between Earth’s land surface and atmosphere is essential for ecosystem monitoring, creating climate change mitigation strategies, and assessing the carbon budget on national to global scales. Measures of greenness serve as indicators of processes such as photosynthesis that control carbon exchange and are vital in modeling of carbon fluxes. NASA’s Orbiting Carbon Observatory (OCO-2) provides high quality measurements of column-averaged CO₂ concentrations that can be used to derive net carbon exchange (NCE), a measure of CO₂ flux between terrestrial ecosystems and the atmosphere.
      From OCO-2, NCE data collected at the land nadir, land glint satellite position combined with in situ sampling can provide accurate measurements on a 1°x1° scale suitable for carbon flux characterization across the contiguous United States (CONUS). Normalized difference vegetation index (NDVI), which ranges from -1 to +1, measures the greenness of vegetation, serving as an indicator of plant density and health. This can help to understand ecosystem to carbon-cycle interactions and be leveraged for determining patterns with NCE. We examined the relationship between NDVI and NCE across CONUS during 2020 using Gradient Boosting Decision Trees (GBDT) which specialize in classifying and predicting non-linear relationships. This algorithm takes multiple weak learners (decision trees) and combines their predictions in an iterative ensemble method to improve prediction accuracy. Feature and permutation importance tests found that January and August (trough and peak NDVI, respectively) were the highest weighted predictor variables related to NCE. The dataset was split in a 90% training 10% test ratio across latitude/longitude grid cells to assess and verify model performance. Using the mean squared error loss function and hyperparameters with optimal estimators, tree depth, sample split, and learning rate the algorithm was able to converge the test predictions to match the deviance of the training data. The gradient boosting model can be applied to different months and years of NDVI/NCE to further explore these relationships or a multitude of research questions. Further studies should consider integrating land use and land cover change variables such as bare land and urbanization to improve predictions of NCE.

      Makai Ogoshi
      Deep-learning Derived Spaceborne Canopy Structural Metrics Predict Forest Carbon Fluxes
      Makai Ogoshi
      Terrestrial and airborne lidar data products describing canopy structure are potent predictors of forest carbon fluxes, but whether satellite data products produce similarly robust indicators of canopy structure is not known. The assessment of contemporary spaceborne lidar and other remote sensing data products as predictors of carbon fluxes is crucial to next generation instrument and data product design and large-spatial scale modeling. We investigated relationships between deciduous broadleaf forest canopy structure, derived from deep-learning models created with lidar data from GEDI and optical imagery from Sentinel-2, and forest carbon exchange. These included comparisons to in-situ continuous net ecosystem exchange (NEE), gross primary production (GPP), and net primary production (NPP). We find that the mean  canopy height from the gridded spaceborne product has a strong correlation with forest NPP, similar to prior analysis with ground-based lidar (portable canopy lidar; PCL). For comparison to NPP, heights taken from the gridded spaceborne product were compared by overlapping the product with nine terrestrial forest sites from the National Ecological Observatory Network (NEON). We used standard deviation of canopy height as a measure of canopy structural complexity. Complexity derived from the gridded spaceborne product does not show the same strong correlation with NPP as found when using PCL. Mean annual GPP and NEE across five years were compared to the gridded spaceborne product at six Fluxnet2015-tower sites with continuous, gap-filled carbon flux data. When compared to in-situ flux tower data, neither mean canopy height nor structural complexity strongly correlate to annual NEE or GPP. Primarily, the finding that derived spaceborne products exhibit a strong correlation between forest canopy height and NPP will advance global-scale application of forest-carbon flux predictions. Secondarily, a variety of limitations highlight shortcomings in the current terrestrial flux data network. A small number of available study sites, both spatially and temporally, and lack of resolution in vertical complexity of canopy structure both contribute to uncertainty in assessing the relationships to NEE and GPP.

      Sebastian Reed
      Porewater Methane Concentrations Vary Significantly Across A Freshwater Tidal Wetland
      Sebastian Reed
      Methane is a potent greenhouse gas that is over 80 times more powerful than CO₂ at trapping heat and accounts for an estimated 30% of global temperature rise associated with climate change. The largest natural source of methane worldwide is wetlands. Despite the role of methane in driving climate change, the magnitude of global annual wetland methane flux remains highly uncertain. This study analyzes the effects of greenness (assessed using Normalized Difference Vegetation Index; NDVI), plant species composition, rooting depth, atmospheric methane concentration, and plant longevity on porewater methane concentration at the Kimages Rice Rivers Center tidal freshwater wetland. Samples for atmospheric and porewater concentrations were conducted in situ in June 2024. For each sampling location (n = 23) we collected whole air samples (WAS) 2m above the marsh surface and porewater samples 5cm below the marsh surface. We visually assessed species composition at each sample location, with 12 species of wetland plants present overall. We used the TRY plant database to find the rooting depth, leaf nitrogen content, and lifespan of each species. Drone multispectral data from 2023 was used to estimate NDVI values. These variables were compared to the pore water methane concentration via stepwise linear regression. Leaf N content, NDVI, plant species, and WAS sampling did not show statistically significant correlation to porewater methane concentration. Rooting depth showed a slight positive correlation with porewater methane (alpha = 0.1, p = 0.08, R^2 = 0.1). Samples with only perennial plants (as opposed to annual plants) had a higher mean value of porewater methane (p = 0.1). Analyzing porewater methane provides insight as to what wetland components affect methanogenesis and methane release, which aids in assessing which plant functional traits are most responsible for driving or mitigating climate change. Results from this study and future research in this area has the potential to more accurately assess how methane cycles through wetlands to the atmosphere.

      Nohemi Rodarte
      Understanding the vertical profile of CO₂ concentration: How carbon dioxide levels change with altitude
      Nohemi Rodarte
      Carbon dioxide (CO₂) is one of the main greenhouse gasses that contribute to global warming.While the relationship between CO₂ concentrations and land cover types, such as forests and urban areas, is well documented, there is limited knowledge of how CO₂ concentrations vary with altitude at fine spatial scales. Guided by our hypothesis that CO₂ levels vary with altitude and increase with elevation, we used airborne data collected from the B200 aircraft, which flew at different altitudes (400 to 1200 feet) above the urban area of Hopewell, Virginia, between 9:40 AM and 10:40 AM. We analyzed the CO₂ concentrations recorded by the flight to obtain the median and range for each 100 feet of altitude. Our results reveal that carbon dioxide concentrations varied significantly across the range of altitudes investigated. Within the area studied, CO₂ concentrations were found to range between 410 and 470 ppm. The distribution of these concentrations along the altitude gradient shows a bimodal pattern, with notable peaks at altitudes of 700 to 800 feet and 1100 to 1200 feet. Although CO₂ levels were present at all measured altitudes, there was a noticeable drop in the mean concentration at 800 feet,which then stabilized until reaching 1,000 feet before rising again. This pattern indicates that the concentrations of this greenhouse gas are not uniformly distributed with altitude, but rather vary significantly, showing higher concentrations at certain elevations and lower concentrations at others. The CO₂ distribution fluctuates with altitude, showing higher or lower levels at specific heights rather than a smooth gradient, indicating that altitude impacts CO₂ concentrations. While we did not identify the drivers of this change, future studies could evaluate how factors such as surface emissions, atmospheric mixing, and local conditions may contribute to vertical CO₂ profiles, since the altitudes we considered in this research are within the troposphere.

      Camille Shaw
      Linking NDVI with CO₂ and CH₄ Fluxes: Insights into Vegetation and Urban Source-Sink Dynamics in the Great Dismal Swamp
      Camille Shaw
      In recent years, carbon dioxide, methane, and other greenhouse gases have gained attention because of their contribution to the rise in Earth’s global mean temperature. Methane and carbon dioxide have various sources and sinks, but an expanding array of sources have created a need to assess ongoing change in carbon balance. This study aims to quantify the relationship between Normalized Difference Vegetation Index, or NDVI, and methane and carbon dioxide fluxes. We measured carbon dioxide and methane concentrations within the boundary layer using the PICARRO instrument, focusing on the Great Dismal Swamp, a forested wetland, and surrounding areas in the Eastern Mid-Atlantic Region. Data collection occurred at various times of day and along different flight paths in 2016, 2017, and 2024, with each year representing data from a single season, either spring or fall, for temporal analysis. We calculated methane and carbon dioxide fluxes along the flight paths using airborne eddy covariance, a method for capturing accurate flux measurements while accounting for the mixing of gases in the boundary layer caused by heat. Additionally, we calculated NDVI for this area using NASA’s Landsat 8 and 9 satellite imagery. Analysis of the afternoon flight data revealed a negative linear correlation between NDVI and carbon dioxide flux. Urban areas, characterized by low NDVI, exhibit a positive carbon dioxide flux as a consequence of emissions from vehicles, while forested areas, with high NDVI, show a negative carbon dioxide flux because of photosynthesis. In contrast, methane flux shows minimal correlation with NDVI. The lack of correlation arises because forested wetlands, with high NDVI, emit substantial amounts of methane, while urban areas, despite having low NDVI, still produce significant methane emissions from landfills and industrial activities. Future research could further investigate how seasonal and diurnal variations influence the correlations between NDVI and greenhouse gases by collecting comprehensive data across all seasons within a given year and at various times of the day.

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