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Women’s History Month: Celebrating Women Astronauts 2024


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“A bird cannot fly with one wing only. Human space flight cannot develop any further without the active participation of women.” – Valentina Tereshkova

“If we want scientists and engineers in the future, we should be cultivating the girls as much as the boys.”Sally Ride

“International cooperation is very necessary. Chinese have a saying, ‘When all the people collect the wood, you will make a great fire.’”Liu Yang

As of Feb. 29, 2024, 75 women have flown in space. Of these, 47 have worked on the International Space Station as long-duration expedition crewmembers, as visitors on space shuttle assembly flights, as space flight participants, or as commercial astronauts. This article recognizes the significant accomplishments of these women from many nations as well as the pioneering women who preceded them into space. Many other women contributed to the assembly of the station and the research conducted aboard on a daily basis, including those on the ground who served as center directors, managers, flight directors, and in many other roles to pursue the exploration of space. Their achievements will contribute to NASA’s efforts to land the first woman and the first person of color on the Moon and possibly send the first crews to Mars in the coming decades.

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Left: The five women selected for training to be the first woman in space, Soviet cosmonaut-candidates Valentina L. Ponomareva, left, Tatiana D. Kuznetsova, Irina B. Soloveva, Valentina V. Tereshkova, and Zhanna D. Yorkina, with an unidentified woman at far right. Right: Tereshkova just before boarding her Vostok 6 capsule for her historic spaceflight. 

The era of women in space began on June 16, 1963, when Soviet cosmonaut Valentina V. Tereshkova launched aboard the Vostok 6 spacecraft. Chosen from a group of five women selected for training, Tereshkova completed a three-day mission and entered the history books as the first woman to orbit the Earth. Nearly 20 years passed before another woman flew in space. In January 1978, NASA announced the selection of 35 new astronauts including six women for the space shuttle program. In response, the Soviet Union secretly selected a group of nine women cosmonauts in 1980. On Aug. 19, 1982, one of these women, Svetlana Y. Savitskaya, launched with her two crewmates aboard Soyuz T-7 for a week-long mission. The next day, they joined the two long-duration resident crewmembers aboard Salyut 7, marking the first time a space station hosted a mixed-gender crew. Ten months later, on June 18, 1983, astronaut Sally K. Ride made history as the first American woman in space, spending seven days aboard space shuttle Challenger during the STS-7 mission.

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Left: The six women astronauts selected by NASA in 1978, Shannon M. Lucid, left, M. Rhea Seddon, Kathryn D. Sullivan, Judith A. Resnik, Anna L. Fisher, and Sally K. Ride, pose with an Apollo-era space suit. Right: Ride aboard space shuttle Challenger during the STS-7 mission.

Savitskaya made history again on July 25, 1984, as the first woman to participate in a spacewalk during her second flight to Salyut 7. Less than three months later, on Oct. 11, Kathryn D. Sullivan completed the first spacewalk by an American woman from space shuttle Challenger during the STS-41G mission. With Ride as one of Sullivan’s crewmates, the flight marked the first time a space crew included two women.

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Left: Soviet cosmonaut Svetlana Y. Savitskaya during her historic spacewalk outside the Salyut 7 space station. Right: NASA astronauts Kathryn D. Sullivan, left, and Sally K. Ride aboard space shuttle Challenger during the STS-41G mission.

Helen P. Sharman has the distinction as not only the first person from the United Kingdom in space but also the first woman to visit the Russian space station Mir. During her eight-day privately funded Juno mission in May 1991, Sharman conducted a series of life sciences experiments and talked to British schoolchildren. The next month marked the first time that a space crew included three women – NASA astronauts M. Rhea Seddon, Tamara E. Jernigan, and Millie E. Hughes-Fulford – during the STS-40 Spacelab Life Sciences 1 mission.

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Left: Helen P. Sharman, the United Kingdom’s first astronaut, aboard the space station Mir in 1991. Right: The first time a space crew included three women – NASA astronauts Tamara E. Jernigan, back row middle, M. Rhea Seddon, and Millie R. Hughes-Fulford – the STS-40 mission in 1991.

Selected in 1983 as one of the six members of the initial cadre of the Canadian Astronaut Program – later incorporated into the Canadian Space Agency (CSA) – Dr. Roberta L. Bondar became the first Canadian woman in space during the STS-42 flight of Discovery in January 1992. As a payload specialist and the first neurologist in space, she performed and participated in more than 40 experiments during the eight-day International Microgravity Laboratory-1 (IML-1) mission. NASA selected Dr. Mae C. Jemison as an astronaut in 1987. In September 1992, she became the first African American woman in space as a crew member of Endeavour’s STS-47 Spacelab-J mission. During the eight-day flight, she conducted numerous life and materials sciences experiments. Selected in NASA’s 1990 class of astronauts, Ellen Ochoa became the first Hispanic woman in space in April 1993 as a mission specialist on the STS-56 flight of Discovery, the second Atmospheric Laboratory for Applications and Science mission. An accomplished flautist, she played the flute during her spare time during the mission. Ochoa completed three more space shuttle flights and served as the first Hispanic director of NASA’s Johnson Space Center in Houston from 2013 to 2018. Selected in 1985 as an astronaut by the National Space Development Agency of Japan, now the Japan Aerospace Exploration Agency (JAXA), Dr. Chiaki Mukai became the first Japanese woman in space in July 1994 when she spent 15 days as a payload specialist on the STS-65 IML-2 mission aboard Columbia. She became the first Japanese astronaut to make two spaceflights when she returned to space in 1998 aboard STS-95.

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Left: Dr. Roberta L. Bondar, the first Canadian woman in space, participates in a neuro-vestibular experiment during the STS-42 International Microgravity Laboratory-1 (IML-1) mission. Middle left: Dr. Mae C. Jemison, the first African American woman in space, works in the Spacelab module during the STS-47 Spacelab-J mission. Middle right: Ellen Ochoa, the first Hispanic woman in space, enjoys playing the flute in her spare time during the STS-56 mission. Right: Dr. Chiaki Mukai, the first Japanese woman in space, floats into the Spacelab module during the STS-65 IML-2 mission.

The honor of the first woman to complete a long-duration mission belongs to Russian cosmonaut Elena V. Kondakova. She launched aboard Soyuz TM20 on Oct. 3, 1994, and spent 169 days aboard the space station Mir as a member of Expedition 17, returning to Earth on March 22, 1995. The first American woman to complete a long-duration mission, NASA astronaut Shannon W. Lucid, launched aboard space shuttle Atlantis on March 22, 1996, as part of the STS-76 crew. The second NASA astronaut to fly as part of the Shuttle-Mir Program, Lucid spent 188 days aboard Mir, setting a new record for the longest single flight by a woman, as a member of Expeditions 21 and 22, returning to Earth with STS-79 on Sep. 26.

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Left: Russian cosmonaut Elena V. Kondakova, second from right, aboard Mir during the handover between Expedition 16 and 17 in 1994. Right: NASA astronaut Shannon W. Lucid, left, with her Mir Expedition 21 crewmates in 1996.

With Lucid still onboard Mir, the August 1996 flight of Claudie André-Deshays, France’s first woman astronaut visiting the station during her Cassiopée research mission, marked the first time that two women lived aboard any space station. After marrying fellow French astronaut and Mir veteran Jean-Pierre Haigneré, she returned to space in October 2001, this time during her eight-day Andromède research mission to the International Space Station, becoming the first woman to live and work aboard two different space stations.

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Left: Claudie André-Deshays, left, France’s first female astronaut, with Russian cosmonaut Yuri V. Usachev and NASA astronaut Shannon M. Lucid aboard Mir in 1996. Right: Claudie (André-Deshays) Haigneré in the Zvezda Service Module of the International Space Station in 2001.

When on-orbit assembly of the International Space Station commenced in 1998, female astronauts took part from the very beginning. As the first woman to reach the new facility, NASA astronaut Nancy J. Currie participated in the first assembly mission, STS-88 in December 1998. She used the shuttle’s robotic arm to precisely join the American Unity Node 1 module to the Russian-built Zarya module, launched three weeks earlier.

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Left: NASA astronaut Nancy J. Currie, front row right, the first woman to reach the International Space Station, with her STS-88 crewmates in 1998. Right: Currie at work in the Zarya module.

The second space station assembly mission, STS-96 in May 1999, included three women on the crew – NASA astronauts Jernigan and Ellen Ochoa, and CSA’s Julie Payette. Jernigan became the first woman to participate in a spacewalk at the space station to install crane equipment for future assembly tasks, with Ochoa as the robotic arm operator. Payette became the first Canadian of any gender to visit the space station and became the first Canadian to return to the space station during STS-127 in 2009.

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Left: In 1999, the STS-96 crew in the Unity Node 1 module, with NASA astronaut Tamara E. Jernigan and Julie Payette of the Canadian Space Agency in the top row and NASA astronaut Ellen Ochoa at bottom right. Middle: Jernigan during the STS-96 spacewalk. Right: Payette in the Unity Node 1 module.

NASA astronaut Pamela A. Melroy served as the first female pilot on a shuttle flight to the space station, the STS-92 mission in October 2000 that added the Z1 truss, control moment gyros, and a Pressurized Mating Adapter to the growing station. She returned to the station as pilot of STS-112 in October 2002 and as commander of STS-120 in October 2007. NASA astronaut Susan J. Helms holds several distinctions for women. As a member of Expedition 2, she became the first woman to complete a long-duration mission on the space station, a 167-day flight between March and August of 2001. She had previously flown to the station during STS-101, making her the first woman to visit the facility twice. A graduate of the U.S. Air Force Academy’s first woman-inclusive class of 1980, Helms was the first woman with a military background to visit the station. She co-holds the record for the longest spacewalk to date, 8 hours 56 minutes, completed with her Expedition 2 crewmate NASA astronaut James S. Voss

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Left: STS-92 Pilot NASA astronaut Pamela A. Melroy shortly after reaching orbit in 2000. Right: Expedition 2 Commander Yuri V. Usachev of Roscosmos, left, coaxing a reluctant Flight Engineer NASA astronaut Susan J. Helms to leave the International Space Station at the end of their mission in 2001.

NASA astronaut Eileen M. Collins had already made history three times before, first in 1995 as the first female pilot of a space shuttle mission (STS-63), the second time in 1997 when she served as the first female shuttle pilot to dock with a space station (STS-84 and Mir), and again in 1999 as the first woman shuttle commander (STS-93). In 2005, Collins became the first woman to command a shuttle mission to the space station, the Return to Flight STS-114 mission, the first after the Columbia accident two years previously. NASA astronaut Heidemarie M. “Heidi” Stefanyshyn-Piper conducted the first spacewalk by a woman from the station’s Quest Joint Airlock on Sep. 12, 2006, during the STS-115 mission that installed the P3/P4 truss segment on the station. 

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Left: In 2005, STS-114 Commander NASA astronaut Eileen M. Collins, left, with Pilot NASA astronaut James M. “Vegas” Kelly on the flight deck of Discovery. Right: NASA astronaut Heidemarie M. “Heidi” Stefanyshyn-Piper working on the P3/P4 truss segment during an STS-115 spacewalk in 2006.

On Sept. 18, 2006, Anousheh Ansari became the first Iranian-born American in space when she launched with her Expedition 14 crew mates aboard Soyuz TMA9. Flying as a spaceflight participant through a commercial agreement with the Russian government, Ansari conducted four experiments on behalf of the European Space Agency (ESA) during her nine-day mission. She returned to Earth with the Expedition 13 crew. Eighteen months later, through a joint agreement between the governments of Russia and the Republic of Korea, Yi So-yeon, a researcher at the Korean Aerospace Research Institute (KARI), became the first Korean in space when she launched aboard Soyuz TMA12 with her Expedition 15 crew mates on April 8, 2008. During her 10-day mission aboard the space station, Yi carried out 18 experiments for KARI. She returned to Earth with Expedition 16 crew members NASA astronaut Peggy A. Whitson and Roscosmos cosmonaut Yuri I. Malenchenko, enduring a strenuous ballistic reentry caused by a spacecraft malfunction. The event marked the first time that women outnumbered men during a spaceflight landing.

womens_history_month_2023_ansari_w_exp_13_and_14 womens_history_month_2023_ansari_w_lada womens_history_month_2023_yi_w_exp_16 womens_history_month_2023_yi_in_pirs
Left: Spaceflight participant Anousheh Ansari, center, with her Expedition 13 and 14 crew mates during a press conference. Middle left: Ansari holds a plant grown in the Lada greenhouse in the Zvezda Service Module. Middle right: Korean spaceflight participant Yi So-yeon with her Expedition 16 crew mates. Right: Yi conducts an experiment in the Pirs Docking Compartment.

Whitson holds the distinction as the first female commander of the space station during Expedition 16 in 2007, her second long-duration mission to the orbiting lab. The busy expedition included the addition to the station of the Harmony Node 2 module, ESA’s Columbus research module, the first of the JAXA elements, and the arrival of the first of ESA’s Automated Transfer Vehicle cargo resupply vehicles. As noted above, Melroy commanded STS-120, the October 2007 mission that brought Columbus to the station, marking the first and only time that women commanded both the space station and the visiting space shuttle. In 2017, during Expedition 51 Whitson became the first woman to command the station for a second time. During this third flight, she spent 289 days in space, at the time the longest single flight by a woman. As of March 2024, Whitson holds the record for the most cumulative spaceflight time for a woman as well as for any American astronaut – o er the course of three long-duration missions aboard the space station, she spent a total of 675 days or about 1.8 years in space. She also holds the record for the most spacewalk time for a woman – during 10 spacewalks, she spent 60 hours, 21 minutes outside the station.

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Left: During the change of command ceremony, Expedition 16 Commander NASA astronaut Peggy A. Whitson, top right, hangs the crew’s patch in the Destiny module. Right: STS-120 Commander NASA astronaut Pamela A. Melroy, left, and Expedition 16 Commander Whitson meet at the hatch between the two vehicles.

The first time four women flew aboard the space station at one time occurred between May 16 and 23, 2010. Expedition 23 Flight Engineer NASA astronaut Tracy C. Dyson had been living and working aboard since April when STS-131 arrived, with NASA astronauts Dorothy M. “Dottie” Metcalf-Lindenburger and Stephanie D. Wilson, and Naoko Yamazaki of JAXA as members of the shuttle crew – Yamazaki became the first Japanese woman to visit the space station. The mission brought four new research facilities to the station. Three weeks after the shuttle’s departure, Dyson and her crewmates welcomed a new trio of long-duration crew members including NASA astronaut Shannon Walker, making Expedition 24 the first to include two women. The next two-woman expedition took place between November 2014 and March 2015 – Expedition 42 included Roscosmos cosmonaut Elena O. Serova, the first Russian woman to make a long-duration flight aboard the space station, and Samantha Cristoforetti from Italy, the first female ESA astronaut on a long-duration mission, spending 199 days in space, a then-record as the longest by an international partner astronaut. 

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Left: Four women aboard the International Space Station – NASA astronauts Dorothy M. Metcalf-Lindenburger, top left, Tracy C. Dyson, and Stephanie D. Wilson, and Naoko Yamazaki of the Japan Aerospace Exploration Agency. Middle: Caldwell Dyson, middle, and NASA astronaut Shannon Walker with their Expedition 24 crewmate NASA astronaut Douglas H. “Wheels” Wheelock, left. Right: Elena O. Serova, left, of Roscomos and European Space Agency astronaut Samantha Cristoforetti in the Automated Transfer Vehicle-5 Georges Lemaître cargo vehicle during Expedition 42.

Expedition crews including two women have recently become more common. During Expedition 57, NASA astronauts Serena M. Auñón-Chancellor and Anne C. McClain overlapped by about three weeks in December 2018. Between March and June 2019, McClain and NASA astronaut Christina H. Koch were aboard as part of Expedition 59, and NASA astronaut Jessica U. Meir joined Koch in September of that year during Expedition 61. Koch returned to Earth in February 2020, completing a flight of 329 days, the longest single mission to date by a woman.

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Left: NASA astronauts Serena M. Auñón-Chancellor, left, and Anne C. McClain work together in the Kibo module during Expedition 57. Right: McClain, left, and NASA astronaut Christina H. Koch demonstrate weightlessness during Expedition 59.

The Expedition 61 crew conducted a record nine spacewalks between October 2019 and January 2020. Koch and Meir made history on Oct. 18 when they floated outside the space station to carry out the first all-woman spacewalk, one of several to replace the station’s batteries. The capsule communicator (capcom), the person in the Mission Control Center at NASA’s Johnson Space Center in Houston who communicates with the astronauts in space, for this historic spacewalk was three-time space shuttle veteran Wilson (who as noted above took part in the first four-woman gathering on the space station). “As much as it’s worth celebrating the first spacewalk with an all-female team, I think many of us are looking forward to it just being normal,” astronaut Dyson said during live coverage of the spacewalk. As if to prove her point, Koch and Meir conducted two more all-woman spacewalks in January 2020. Meir’s return to Earth marked the end of the longest period up to that time of a continuous female presence aboard the space station – 682 days (one year and 10 months) from June 8, 2018, to April 17, 2020.

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Left: Space suited NASA astronauts Jessica U. Meir, left, and Christina H. Koch, assisted by their Expedition 61 crewmates, prepare for the first all-woman spacewalk. Right: Capsule communicators NASA astronauts Stephanie D. Wilson, left, and Mark T. Vande Hei assist Meir and Koch during the first all-woman spacewalk from the Mission Control Center at NASA’s Johnson Space Center in Houston.

The arrival of NASA astronaut Kathleen H. “Kate” Rubins on Oct 14, 2020, began the longest continuous period to date with at least one woman living and working aboard the space station. On Nov. 16, as a member of NASA’s Crew-1 mission aboard SpaceX’s Crew Dragon Resilience spacecraft, NASA astronaut Walker became the first woman to travel on a commercial crew vehicle. When she and her three crewmates joined the Expedition 64 crew abord the space station, they comprised the station’s first-ever seven-member resident crew. With Rubins already onboard, for the next five months two women once again called the space station home. NASA astronaut K. Megan McArthur, the first woman to pilot a commercial crew vehicle, arrived in April 2021 as a member of NASA’s Crew-2 mission, followed by Crew-3’s NASA astronaut Kayla S. Barron in November 2021.

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Left: NASA astronaut Shannon Walker, the first woman to fly on a commercial crew vehicle, looks out the window of the SpaceX Crew Dragon spacecraft Resilience. Middle: NASA astronauts Kathleen H. “Kate” Rubins, left, and Walker working inside the International Space Station. Right: The space station’s first seven-member crew including Walker, left, and Rubins, third from left, pose in the Kibo module.

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Left: NASA astronaut K. Megan McArthur wearing her SpaceX launch and entry suit in the Destiny U.S. Laboratory module in preparation for return to Earth in October 2021. Right: NASA astronaut Kayla S. Barron inspects chili peppers grown aboard the space station prior to harvest in November 2021.

In April 2022, when Crew Dragon Freedom lifted off, Crew-4 included first-time space flyer NASA astronaut Jessica A. Watkins and ESA’s Cristoforetti on her second long-duration flight, marking the first time two women flew aboard a commercial crew vehicle to the space station. Once they joined Expedition 67, Watkins became the first African American woman to join a long-duration crew. With Barron already aboard the station, this marked the first time three women on long-duration spaceflights lived and worked aboard the orbiting laboratory.

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Left: Crew-4 astronauts Samantha Cristoforetti of the European Space Agency, left, and NASA astronaut Jessica A. Watkins aboard Crew Dragon Freedom. Right: Cristoforetti, left, and Watkins, right, bid farewell to NASA astronaut Kayla S. Barron wearing her SpaceX launch and entry suit as she prepares for her return to Earth with her fellow Crew-3 team mates.

In September 2022, Cristoforetti assumed command of the space station, a first for a European woman. When Crew-5 launched aboard Crew Dragon Endurance in October 2022, NASA astronaut Nicole A. Mann became the first Native American woman in space and the first woman to command a Crew Dragon mission, and Anna Y. Kikina of Roscosmos became the first Russian cosmonaut to fly aboard a U.S. commercial vehicle. For the second time, two women commanders, Cristoforetti and Mann, greeted each other as Crew-5 arrived to join Expedition 68. The launch of Crew-5 also marked the first time that five women lived and worked in space at the same time – the four women aboard the space station and Liu Yang aboard China’s Tiangong space station on her second space mission. The launch of Crew-6 in February 2023 marked the first all-male long-duration crew aboard a commercial crew vehicle. The return of Mann and Kikina marked the end of the longest time period with at least one woman living and working in space, 879 days, or 2 years and 5 months.

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Left: Samantha Cristoforetti of the European Space Agency assumes command of the International Space Station. Right: Space station Commander Cristoforetti greets Crew-5 Commander NASA astronaut Nicole A. Mann and her crew mates.

The hiatus in women in space lasted less than six months, during which two women on the Ax-2 mission spent eight days aboard the space station (see below). Renewing a female presence in space, NASA astronaut Jasmin Moghbeli arrived aboard the station in August 2023 as part of Crew-7. NASA astronaut Loral A. O’Hara joined her three weeks later when she arrived as part of the Soyuz MS-24 crew and they together conducted research as part of Expedition 70 as the only two Americans in space. On Nov. 21, 2023, they conducted an all-woman spacewalk, only the second pair of women to do so.

NASA astronauts Jasmin Moghbeli, front row center, and Loral A. O’Hara, front row right, and their Expedition 70 crew mates chat with space station program managers to celebrate the 25th anniversary of the orbiting laboratory. O’Hara, left, and Moghbeli, right, prepare for their spacewalk as Roscosmos cosmonaut Nikolai A. Chub assists.
Left: NASA astronauts Jasmin Moghbeli, front row center, and Loral A. O’Hara, front row right, and their Expedition 70 crew mates chat with space station program managers to celebrate the 25th anniversary of the orbiting laboratory. Right: O’Hara, left, and Moghbeli, right, prepare for their spacewalk as Roscosmos cosmonaut Nikolai A. Chub assists.

The presence of women in space will continue uninterrupted when NASA astronaut Jeannette J. Epps and her fellow Crew 8 crew mates launch to the space station on March 1 for an expected six-month mission. The March 21 launch of Soyuz MS-25 will mark a milestone in spaceflight history as the first time women will form the majority of a crew at launch. Roscosmos cosmonaut Oleg V. Novitskiy will command the flight, accompanied by NASA astronaut Dyson and the first citizen from Belarus to fly in space, Marina V. Vasilevskaya. Dyson, on her second long-duration flight, will remain aboard the station as part of Expedition 71 while Novitskiy and Vasilevskaya return to Earth after 12 days, accompanied by O’Hara who will have spent more than six months aboard the orbiting laboratory.

NASA astronaut Jeanette J. Epps, left, and her Crew 7 crew mates during training NASA astronaut Tracy C. Dyson with her Soyuz MS-25 crewmates. Epps, left, and Dyson during preflight training for Expedition 71.
Left: NASA astronaut Jeanette J. Epps, left, and her Crew 7 crew mates during training. Middle: NASA astronaut Tracy C. Dyson with her Soyuz MS-25 crewmates. Right: Epps, left, and Dyson during preflight training for Expedition 71.

The story of women in space would not be complete without mention of the two women from the People’s Republic of China who have flown in space. China’s first female astronaut, Liu Yang, launched on June 16, 2012, aboard the Shenzhou-9 spacecraft with her two crewmates, docking with the Tiangong-1 experimental space station two days later. The trio returned to Earth after a 13-day mission. One year later, on June 11, 2013, Wang Yaping and her two crewmates launched aboard Shenzhou-10 for a 14-day visit to Tiangong-1. She conducted science experiments and taught a live physics lessons to school children from aboard the station. Wang returned to space on Oct. 15, 2021, aboard Shenzhou-13 as the first woman to live and work aboard the Tiangong China Space Station. She also conducted the first spacewalk by a Chinese woman. Liu completed her second flight, a six-month mission aboard Tiangong as a member of the Shenzhou-14 crew.

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Left: Liu Yang, the People’s Republic of China’s first woman in space, aboard the Tiangong-1 space station. Middle: Wang Yaping teaching a physics lesson live from Tiangong-1. Right: Wang during the first spacewalk by a Chinese woman astronaut. Image credits: courtesy of CNSA.

Women have been at the forefront of commercial spaceflights. In September 2021, two of the four crew members of the private space mission Inspiration4 were women – Sian H. Proctor, the first African American woman to pilot a spacecraft, and Hayley Arceneaux. They conducted science experiments during their three-day mission aboard the Crew Dragon Resilience spacecraft. The next month, Russian actress Yulia S. Peresild and her director spent 11 days aboard the space station filming scenes for a film entitled “The Challenge” that premiered in April 2023. The second Private Astronaut Mission to the space station, the May 2023 Ax-2 flight included a crew of four spending nine days aboard the orbiting laboratory conducting experiments. Making her fourth visit to the space station, former NASA astronaut Whitson and director of human spaceflight at Axiom Space commanded the Ax-2 flight, becoming the first woman commander of a private space mission. Two mission specialists from the Kingdom of Saudi Arabia’s inaugural astronaut program, including Rayyanah Barnawi, the first Saudi woman in space, served on the crew. Private astronaut missions to the space station represent precursors to privately funded commercial space stations as part of NASA’s efforts to develop a thriving low-Earth orbit ecosystem and marketplace.

Women’s History Month 2022 Women’s History Month 2022 The Ax-2 mission crew includes Mission Specialist Rayyanah Barnawi from the Kingdom of Saudi Arabia, left, and Commander Peggy A. Whitson of Axiom Space, right.
Left: Sian H. Proctor, left, and Hayley Arceneaux during the Inspiration4 private space mission. Image credit: courtesy Inspiration4. Middle: Russian actress Yulia S. Peresild arrives at the space station. Right: The Ax-2 mission crew includes Mission Specialist Rayyanah Barnawi from the Kingdom of Saudi Arabia, left, and Commander Peggy A. Whitson of Axiom Space, right.

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      Quantifying the changing structure and extent of benthic coral communities is essential for informing restoration efforts and identifying stressed regions of coral. Accurate classification of shallow-water benthic coral communities requires high spectral and spatial resolution, currently not available on spaceborne sensors, to observe the seafloor through an optically complex seawater column. Here we create a shallow water benthic cover type map of Kaneohe Bay, Oahu, Hawaii using the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) without requiring in-situ data as inputs. We first run the AVIRIS data through a semi-analytical inversion model to derive color dissolved organic matter, chlorophyll concentration, bottom albedo, suspended sediment, and depth parameters for each pixel, which are then matched to a Hydrolight simulated water column. Pure reflectance for coral, algae, and sand are then projected through each water column to create spectral endmembers for each pixel. Multiple Endmember Spectral Mixture Analysis (MESMA) provides fractional cover of each benthic class on a per-pixel basis. We demonstrate the efficacy of using simulated water columns to create surface reflectance spectral endmembers as Hydrolight-derived in-situ endmember spectra strongly match AVIRIS surface reflectance for corresponding locations (average R = 0.96). This study highlights the capabilities of using medium-fine resolution hyperspectral imagery to identify fractional cover type of localized coral communities and lays the groundwork for future spaceborne hyperspectral monitoring of global coral communities.

      Atticus Cummings
      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.


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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
    • 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.


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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
    • 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
    • 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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