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The Marshall Star for July 17, 2024

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The Marshall Star for July 17, 2024

The core stage of the Artemis Space Launch System being loaded on a covered barge. The stage is a large cylinder shape with the engines facing toward the camera on two yellow transporters that are guiding the stage into a covered grey container in the background. The body of the cylinder is mostly an orange color and white around the bottom. The four engines on the bottom are covered with red material.

NASA Ships Moon Rocket Stage Ahead of First Crewed Artemis Flight

NASA rolled out the SLS (Space Launch System) rocket’s core stage for the Artemis II test flight from its Michoud Assembly Facility on Tuesday for shipment to the agency’s Kennedy Space Center. The rollout is key progress on the path to NASA’s first crewed mission to the Moon under the Artemis campaign.

Using highly specialized transporters, engineers maneuvered the giant core stage from inside Michoud to NASA’s Pegasus barge. The barge will ferry the stage more than 900 miles to Kennedy, where engineers will prepare it in the Vehicle Assembly Building for attachment to other rocket and Orion spacecraft elements.

The core stage of the Artemis Space Launch System being loaded on a covered barge. The stage is a large cylinder shape with the engines facing toward the camera on two yellow transporters that are guiding the stage into a covered grey container in the background. The body of the cylinder is mostly an orange color and white around the bottom. The four engines on the bottom are covered with red material.
Move teams with NASA and Boeing, the SLS core stage lead contractor, position the massive rocket stage for NASA’s SLS rocket on special transporters to strategically guide the flight hardware the 1.3-mile distance from the factory floor onto the agency’s Pegasus barge on July 16. The core stage will be ferried to NASA’s Kennedy Space Center in Florida, where it will be integrated with other parts of the rocket that will power NASA’s Artemis II mission. Pegasus is maintained at NASA’s Michoud Assembly Facility.
Credit: NASA

“With Artemis, we’ve set our sights on doing something big and incredibly complex that will inspire a new generation, advance our scientific endeavors, and move U.S. competitiveness forward,” said Catherine Koerner, associate administrator for NASA’s Exploration Systems Development Mission Directorate at NASA Headquarters. “The SLS rocket is a key component of our efforts to develop a long-term presence at the Moon.”

Technicians moved the SLS rocket stage from inside Michoud on the 55th anniversary of the launch of Apollo 11 on July 16, 1969. The move of the rocket stage for Artemis marks the first time since the Apollo Program that a fully assembled Moon rocket stage for a crewed mission rolled out from Michoud.

The NASA Michoud Assembly Facility workforce and with other agency team members take a “family photo” with the SLS (Space Launch System) core stage for Artemis II in the background on July 16 at Michoud. The core stage will help launch the first crewed flight of NASA’s SLS rocket for the agency’s Artemis II mission.
The NASA Michoud Assembly Facility workforce and with other agency team members take a “family photo” with the SLS (Space Launch System) core stage for Artemis II in the background on July 16 at Michoud. The core stage will help launch the first crewed flight of NASA’s SLS rocket for the agency’s Artemis II mission.
NASA

The SLS rocket’s core stage is the largest NASA has ever produced. At 212 feet tall, it consists of five major elements, including two huge propellant tanks that collectively hold more than 733,000 gallons of super-chilled liquid propellant to feed four RS-25 engines. During launch and flight, the stage will operate for just over eight minutes, producing more than 2 million pounds of thrust to propel four astronauts inside NASA’s Orion spacecraft toward the Moon.

“The delivery of the SLS core stage for Artemis II to Kennedy Space Center signals a shift from manufacturing to launch readiness as teams continue to make progress on hardware for all major elements for future SLS rockets,” said John Honeycutt, SLS program manager at NASA’s Marshall Space Flight Center. “We are motivated by the success of Artemis I and focused on working toward the first crewed flight under Artemis.”

Team members on July 16 move the first core stage that will help launch the first crewed flight of NASA’s SLS (Space Launch System) rocket for the agency’s Artemis II mission. The move marked the first time a fully assembled Moon rocket stage for a crewed mission has rolled out from NASA’s Michoud Assembly Facility in New Orleans since the Apollo Program.
Team members on July 16 move the first core stage that will help launch the first crewed flight of NASA’s SLS (Space Launch System) rocket for the agency’s Artemis II mission. The move marked the first time a fully assembled Moon rocket stage for a crewed mission has rolled out from NASA’s Michoud Assembly Facility in New Orleans since the Apollo Program.
NASA

After arrival at Kennedy, the stage will undergo additional outfitting inside the Vehicle Assembly Building. Engineers then will join it with the segments that form the rocket’s twin solid rocket boosters. Adapters for the Moon rocket that connect it to the Orion spacecraft will be shipped to Kennedy this fall, where the interim cryogenic propulsion stage is already. Engineers at Kennedy continue to prepare Orion and exploration ground systems for launch and flight.

All major structures for every SLS core stage are fully manufactured at Michoud. Inside the factory, core stages and future exploration upper stages for the next evolution of SLS, called the Block 1B configuration, currently are in various phases of production for Artemis III, IV, and V. Beginning with Artemis III, to better optimize space at Michoud, Boeing – the SLS core stage prime contractor – will use space at Kennedy for final assembly and outfitting activities.

Team members at Michoud Assembly Facility load the first core stage that will help launch the first crewed flight of NASA’s SLS (Space Launch System) rocket for the agency’s Artemis II mission onto the Pegasus barge on July 16. The barge will ferry the core stage on a 900-mile journey from the agency’s Michoud Assembly Facility in New Orleans to its Kennedy Space Center in Florida.
Team members at Michoud Assembly Facility load the first core stage that will help launch the first crewed flight of NASA’s SLS (Space Launch System) rocket for the agency’s Artemis II mission onto the Pegasus barge on July 16. The barge will ferry the core stage on a 900-mile journey from the agency’s Michoud Assembly Facility in New Orleans to its Kennedy Space Center in Florida.
NASA

Building, assembling, and transporting the SLS core stage is a collaborative effort for NASA, Boeing, and lead RS-25 engines contractor Aerojet Rocketdyne, an L3Harris Technologies company. All 10 NASA centers contribute to its development with more than 1,100 companies across the United States contributing to its production. 

NASA is working to land the first woman, first person of color, and its first international partner astronaut on the Moon under Artemis. SLS is part of NASA’s backbone for deep space exploration, along with the Orion spacecraft, supporting ground systems, advanced spacesuits and rovers, the Gateway in orbit around the Moon, and commercial human landing systems. SLS is the only rocket that can send Orion, astronauts, and supplies to the Moon in a single launch.

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NASA Barge Preparations for Artemis II Rocket Stage Delivery

Team members installed pedestals aboard NASA’s Pegasus barge to hold and secure the massive core stage of NASA’s SLS (Space Launch System) rocket, preparing NASA barge crews for their first delivery to support the Artemis II test flight around the Moon. The barge ferried the core stage on a 900-mile journey from the agency’s Michoud Assembly Facility to its Kennedy Space Center.

Teams at the agency’s Michoud Assembly Facility in New Orleans are preparing the agency’s Pegasus barge to carry the SLS rocket’s core stage from the agency’s rocket factory to NASA’s Kennedy Space Center in Florida.
Team members at NASA’s Michoud Assembly Facility install pedestals aboard the Pegasus barge to hold and secure the massive core stage of NASA’s SLS (Space Launch System) rocket ahead.
NASA/Eric Bordelon

The Pegasus crew began installing the pedestals July 10. The barge, which previously was used to ferry space shuttle external tanks, was modified and refurbished to compensate for the much larger and heavier core stage for the SLS rocket. Measuring 212 feet in length and 27.6 feet in diameter, the core stage is the largest rocket stage NASA has ever built and the longest item ever shipped by a NASA barge.

Pegasus now measures 310 feet in length and 50 feet in width, with three 200-kilowatt generators on board for power. Tugboats and towing vessels moved the barge and core stage from Michoud to Kennedy, where the core stage will be integrated with other elements of the rocket and prepared for launch. Pegasus is maintained at NASA Michoud.

NASA is working to land the first woman, first person of color, and its first international partner astronaut on the Moon under Artemis. SLS is part of NASA’s backbone for deep space exploration, along with the Orion spacecraft, supporting ground systems, advanced spacesuits and rovers, the Gateway in orbit around the Moon, and commercial human landing systems. SLS is the only rocket that can send Orion, astronauts, and supplies to the Moon in a single launch.

NASA’s Marshall Space Flight Center manages the SLS Program and Michoud.

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Michoud Marks Artemis II Milestone with Employee Event Featuring NASA Astronaut Victor Glover

Moon to Mars Program Deputy Associate Administrator Amit Kshatriya, left, and NASA astronaut Victor Glover, right, speak to Michoud Assembly Facility team members on July 15 as part of a Space Flight Awareness event marking Artemis II’s core stage completion. The core stage was rolled out of Michoud’s rocket factory on July 16 for transportation to NASA’s Kennedy Space Center, where it will be integrated with the Orion spacecraft and the remaining components of the SLS (Space Launch System) rocket.

Moon to Mars Program Deputy Associate Administrator Amit Kshatriya, left, and NASA astronaut Victor Glover, right, speak to Michoud Assembly Facility team members on July 15 as part of a Space Flight Awareness event marking Artemis II’s core stage completion. The core stage was rolled out of Michoud’s rocket factory on July 16 for transportation to NASA’s Kennedy Space Center, where it will be integrated with the Orion spacecraft and the remaining components of the SLS (Space Launch System) rocket. (NASA)

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Tawnya Laughinghouse Named Director of Marshall’s Materials and Processes Laboratory

Tawnya Plummer Laughinghouse has been named to the Senior Executive Service position of director of the Materials and Processes Laboratory in the Engineering Directorate at NASA’s Marshall Space Flight Center, effective July 7.

Tawnya Laughinghouse
Tawnya Plummer Laughinghouse has been named to the Senior Executive Service position of director of the Materials and Processes Laboratory in the Engineering Directorate at NASA’s Marshall Space Flight Center.
NASA

The Materials and Processes Laboratory provides science, technology, and engineering support in materials, processes, and products for use in space vehicle applications, including related ground facilities, test articles and support equipment. As director, Laughinghouse will oversee a workforce of science and engineering experts, as well as several research and development efforts in world-class facilities, including the National Center for Advanced Manufacturing.

Laughinghouse has more than 20 years of experience at NASA holding various technical leadership, supervisory, and programmatic positions. Since October 2018, she has been manager of the Technology Demonstration Missions (TDM) Program for the Agency, managing the implementation of a diverse portfolio of advanced space technology projects led by NASA Centers and industry partners across the nation with a goal to rapidly develop, demonstrate, and infuse revolutionary, high-payoff technologies. Under her leadership, the program helped expand the boundaries of the aerospace enterprise with the launch of 10 advanced technologies to space between 2018 and 2024. In January 2017, she was competitively selected as deputy manager of the TDM Level 2 Program Office within Marshall’s Science and Technology Office.

In 2014, she was selected as a member of the NASA Mid-Level Leadership Program. During that time, she completed a detail at NASA Headquarters supporting an Office of Chief Engineer/Office of Chief Technologist joint study on NASA’s Technology Readiness Assessment (TRA) Process.

Laughinghouse began her NASA career at Marshall in 2004 in the Materials and Processes Laboratory as lead materials engineer for the Space Shuttle Reusable Solid Rocket Motor (RSRM) Booster Separation Motor aft closure assembly. In this role, she also provided technical expertise in advanced materials for high temperature applications and thermal protection systems for solid and liquid rocket propulsion systems. Over the next 12 years, she served the lab in various capacities, including technical lead of the Ceramics & Ablatives team from 2010 to 2016, and developmental assignments such as assistant chief of the Space and Environmental Effects Branch, and chief of the Nonmetallic Materials Branch. Prior to joining Marshall, Laughinghouse spent six years in the U.S. manufacturing industry as a process chemist and product engineer.

Laughinghouse has been awarded the NASA Exceptional Achievement Medal, the NASA Exceptional Service Medal, and a host of group achievement and external awards, including the distinguished Merit Award from the National Alumnae Association of Spelman College in 2021. She has been recognized extensively in the community for her advocacy for women in STEM and mentoring.

A federally certified senior/expert program and project manager, Laughinghouse is a graduate of several leadership programs, including the Office of Personnel Management Federal Executive Institute’s Leadership for a Democratic Society. She is a May 2024 graduate of Leadership Greater Huntsville’s Connect-26 Class.

A native of Columbus, Ohio, Laughinghouse was raised in Huntsville and graduated salutatorian of her class at Sparkman High School in Toney, Alabama. After completing a NASA Summer High School Apprenticeship Research Program (SHARP) internship at Marshall, she applied for the NASA Women in Science and Engineering (WISE) dual-degree program and went on to earn a bachelor’s degree in chemistry and a bachelor’s degree in chemical engineering from Spelman College and the Georgia Institute of Technology, respectively. She also holds a Master of Science in management (concentration in management of technology) from the University of Alabama in Huntsville.

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Marshall Engineers Unveil Versatile, Low-cost Hybrid Engine Testbed

By Rick Smith

In June, engineers at NASA’s Marshall Space Flight Center unveiled an innovative, 11-inch hybrid rocket motor testbed.

The new hybrid testbed, which features variable flow capability and a 20-second continuous burn duration, is designed to provide a low-cost, quick-turnaround solution for conducting hot-fire tests of advanced nozzles and other rocket engine hardware, composite materials, and propellants.

A pair of NASA engineers conduct checkout testing of a new hybrid rocket engine testbed, a long, blue, cylindrical facility for testing new government and industry rocket motor hardware, materials, and propellants at NASA’s Marshall Space Flight Center.
Paul Dumbacher, right, lead test engineer for the Propulsion Test Branch at NASA’s Marshall Space Flight Center, confers with Meredith Patterson, solid propulsion systems engineer, as they install the 11-inch hybrid rocket motor testbed into its cradle in Marshall’s East Test Stand.
NASA/Charles Beason

Solid rocket propulsion remains a competitive, reliable technology for various compact and heavy-lift rockets as well as in-space missions, offering low propulsion element mass, high energy density, resilience in extreme environments, and reliable performance.

“It’s time consuming and costly to put a new solid rocket motor through its paces – identifying how materials perform in extreme temperatures and under severe structural and dynamic loads,” said Benjamin Davis, branch chief of the Solid Propulsion and Pyrotechnic Devices Branch of Marshall’s Engineering Directorate. “In today’s fast-paced, competitive environment, we wanted to find a way to condense that schedule. The hybrid testbed offers an exciting, low-cost solution.”

Initiated in 2020, the project stemmed from NASA’s work to develop new composite materials, additively manufactured – or 3D-printed – nozzles, and other components with proven benefits across the spacefaring spectrum, from rockets to planetary landers.

After analyzing future industry requirements, and with feedback from NASA’s aerospace partners, the Marshall team recognized that their existing 24-inch rocket motor testbed – a subscale version of the Space Launch System booster – could prove too costly for small startups. Additionally, conventional, six-inch test motors limited flexible configuration and required multiple tests to achieve all customer goals. The team realized what industry needed most was an efficient, versatile third option.

“The 11-inch hybrid motor testbed offers the instrumentation, configurability, and cost-efficiency our government, industry, and academic partners need,” said Chloe Bower, subscale solid rocket motor manufacturing lead at Marshall. “It can accomplish multiple test objectives simultaneously – including different nozzle configurations, new instrumentation or internal insulation, and various propellants or flight environments.”

Three female NASA engineers conduct post-test analysis of disassembled, cylindrical components of a new, hybrid rocket motor testbed at NASA’s Marshall Space Flight Center.
Assessing components of the 11-inch hybrid rocket motor testbed in the wake of successful testing are, from left, Chloe Bower, Marshall’s subscale solid rocket motor manufacturing lead; Jacobs manufacturing engineer Shelby Westrich; and Precious Mitchell, Marshall’s solid propulsion design lead.
NASA/Benjamin Davis

“That quicker pace can reduce test time from months to weeks or days,” said Precious Mitchell, solid propulsion design lead for the project.

Another feature of great interest is the on/off switch. “That’s one of the big advantages to a hybrid testbed,” Mitchell said. “With a solid propulsion system, once it’s ignited, it will burn until the fuel is spent. But because there’s no oxidizer in hybrid fuel, we can simply turn it off at any point if we see anomalies or need to fine-tune a test element, yielding more accurate test results that precisely meet customer needs.”

The team expects to deliver to NASA leadership final test data later this summer. For now, Davis congratulates the Marshall propulsion designers, analysts, chemists, materials engineers, safety personnel, and test engineers who collaborated on the new testbed.

“We’re not just supporting the aerospace industry in broad terms,” he said. “We’re also giving young NASA engineers a chance to get their hands dirty in a practical test environment solving problems. This work helps educate new generations who will carry on NASA’s mission in the decades to come.”

For nearly 65 years, Marshall teams have led development of the U.S. space program’s most powerful rocket engines and spacecraft, from the Apollo-era Saturn V rocket and the space shuttle to today’s cutting-edge propulsion systems, including NASA’s newest rocket, the Space Launch System. NASA technology testbeds designed and built by Marshall engineers and their partners have shaped the reliable technologies of spaceflight and continue to enable discovery, testing, and certification of advanced rocket engine materials and manufacturing techniques. 

Smith, an Aeyon/MTS employee, supports the Marshall Office of Communications.

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NASA Honors 25 Years of Chandra at July National Space Club Breakfast

NASA Ships Moon Rocket Stage Ahead of First Crewed Artemis Flight https://www.nasa.gov/news-release/nasa-ships-moon-rocket-stage-ahead-of-first-crewed-artemis-flight/ NASA Marshall Engineers Unveil Versatile, Low-cost Hybrid Engine Testbed https://www.nasa.gov/centers-and-facilities/marshall/nasa-marshall-engineers-unveil-versatile-low-cost-hybrid-engine-testbed/ Take a Summer Cosmic Road Trip With NASA’s Chandra and Webb https://www.nasa.gov/image-article/take-a-summer-cosmic-road-trip-with-nasas-chandra-and-webb/ 55 Years Ago: Apollo 11’s One Small Step, One Giant Leap https://www.nasa.gov/history/55-years-ago-apollo-11s-one-small-step-one-giant-leap/ Two Years Since Webb’s First Images: Celebrating with the Penguin and the Egg Andrew Schnell, acting manager of the Chandra X-ray Observatory at NASA’s Marshall Space Flight Center, honored 25 years of the project’s mission success at National Space Club – Huntsville’s breakfast event on July 16.

Andrew Schnell, acting manager of the Chandra X-ray Observatory at NASA’s Marshall Space Flight Center, honored 25 years of the project’s mission success at National Space Club – Huntsville’s breakfast event on July 16.

Schnell provided insight into Chandra’s history – sharing photos and stories from the project’s initial development, launch, first light images, and some of the most iconic images captured by the telescope to date.

Chandra launched on STS-93 Shuttle Columbia July 23, 1999. Originally designed as a five-year mission, the telescope’s prolonged success is a testament to the agency’s engineering capabilities.

“One of the things that excites me about working with Chandra is that are we not only changing our understanding of the universe today, but the data we collect now may help answer questions astrophysicists haven’t even asked yet.” Schnell said. “One day, an astrophysicist – maybe one that hasn’t been born yet – will have a theory, and our data will be there to help them test that theory.” (Photo Credit: Face to Face Marketing)

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Take a Summer Cosmic Road Trip with NASA’s Chandra and Webb

It’s time to take a cosmic road trip using light as the highway and visit four stunning destinations across space. The vehicles for this space get-away are NASA’s Chandra X-ray Observatory and James Webb Space Telescope.

The first stop on this tour is the closest, Rho Ophiuchi, at a distance of about 390 light-years from Earth. Rho Ophiuchi is a cloud complex filled with gas and stars of different sizes and ages. Being one of the closest star-forming regions, Rho Ophiuchi is a great place for astronomers to study stars. In this image, X-rays from Chandra are purple revealing infant stars that violently flare and produce X-rays. Infrared data from Webb are red, yellow, cyan, light blue and darker blue and provide views of the spectacular regions of gas and dust.

Rho Ophiuchi, a cloud complex filled with gas, and dotted with stars. The murky green and gold cloud resembles a ghostly head in profile, swooping down from the upper left, trailing tendrils of hair. Cutting across the bottom edge and lower righthand corner of the image is a long, narrow, brick red cloud which resembles the ember of a stick pulled from a fire. Several large white stars dot the image. Many are surrounded by glowing neon purple rings, and gleam with diffraction spikes.
The first stop on this tour is the closest, Rho Ophiuchi, at a distance of about 390 light-years from Earth.
X-ray: NASA/CXC/MIT/C. Canizares; IR: NASA/ESA/CSA/STScI/K. Pontoppidan; Image Processing: NASA/ESA/STScI/Alyssa Pagan, NASA/CXC/SAO/L. Frattare and J. Major

The next destination is the Orion Nebula. Still located in the Milky Way galaxy, this region is a little bit farther from our home planet at about 1,500 light-years away. If you look just below the middle of the three stars that make up the “belt” in the constellation of Orion, you may be able to see this nebula through a small telescope. With Chandra and Webb, however, we get to see so much more. Chandra reveals young stars that glow brightly in X-rays, colored in red, green, and blue, while Webb shows the gas and dust in darker red that will help build the next generation of stars here.

chandrawebb3-m42.jpg?w=2048
The Orion Nebula.
X-ray: NASA/CXC/Penn State/E.Fei

It’s time to leave our galaxy and visit another. Like the Milky Way, NGC 3627 is a spiral galaxy that we see at a slight angle. NGC 3627 is known as a “barred” spiral galaxy because of the rectangular shape of its central region. From our vantage point, we can also see two distinct spiral arms that appear as arcs. X-rays from Chandra in purple show evidence for a supermassive black hole in its center while Webb finds the dust, gas, and stars throughout the galaxy in red, green, and blue. This image also contains optical data from the Hubble Space Telescope in red, green, and blue.

The galaxy NGC 3627 appears pitched at an oblique angle, tilted from our upper left down to our lower right. Much of its face is angled toward us, making its spiral arms, composed of red and purple dots, easily identifiable. Several bright white dots ringed with neon purple speckle the galaxy. At the galaxy’s core, where the spiral arms converge, a large white and purple glow identified by Chandra provides evidence of a supermassive black hole.
Spiral galaxy NGC 3627.
X-ray: NASA/CXC/SAO; Optical: NASA/ESO/STScI, ESO/WFI; Infrared: NASA/ESA/CSA/STScI/JWST; Image Processing:/NASA/CXC/SAO/J. Major

Our final landing place on this trip is the farthest and the biggest. MACS J0416 is a galaxy cluster, which are among the largest objects in the Universe held together by gravity. Galaxy clusters like this can contain hundreds or even thousands of individual galaxies all immersed in massive amounts of superheated gas that Chandra can detect. In this view, Chandra’s X-rays in purple show this reservoir of hot gas while Hubble and Webb pick up the individual galaxies in red, green, and blue.

Here is the distant galaxy cluster known as MACS J0416. The blackness of space is packed with glowing dots and tiny shapes, in whites, purples, oranges, golds, and reds, each a distinct galaxy. Upon close inspection (and with a great deal of zooming in!) the spiraling arms of some of the seemingly tiny galaxies are revealed in this highly detailed image. Gently arched across the middle of the frame is a soft band of purple; a reservoir of superheated gas detected by Chandra.
ACS J0416 galaxy cluster.
X-ray: NASA/CXC/SAO/G. Ogrean et al.; Optical/Infrared: (Hubble) NASA/ESA/STScI; IR: (JWST) NASA/ESA/CSA/STScI/Jose M. Diego (IFCA), Jordan C. J. D’Silva (UWA), Anton M. Koekemoer (STScI), Jake Summers (ASU), Rogier Windhorst (ASU), Haojing Yan (University of Missouri)

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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      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.


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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.


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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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