Displaying 3361 - 3370 of 3525
NDTI-processed river imagery from 2021 PlanetScope data with GPM IMERG data shown in blue. The Shoshone River in northwestern Wyoming is shown with red values indicating lower turbidity and yellow values representing higher turbidity. Lighter blue values indicate higher monthly mean IMERG precipitation values for 2021. NDTI values and precipitation averages help watershed managers understand where and when excess sediment enters the river.​

Assessing Sediment Inputs into the Shoshone River in Wyoming to Determine Areas for Protection and Restoration Practices

Topic
DEVELOP
Capacity Building
Water Resources
Shoshone River Water Resources (Fall 2022) Team: Robyn Holmes (Project Lead), Will Campbell, Cassie Ferrante, Nelson Lemnyuy Summary: In 2016, a routine repair operation at...
Fall 2022 Maldives Climate

Monitoring Shoreline Change and Island Loss in Response to Climate Change

Topic
DEVELOP
Climate
Capacity Building
Maldives Climate (Fall 2022) Team: Aidan Harvey (Project Lead), Daniel Lopez, Mitch Porter, Derek Chin Summary: Global sea level rise as a result of climate...
Land cover imagery processed from Landsat 8 OLI and ocean turbidity data imagery processed from Sentinel-2 MSI. The Tijuana River stormwater plume off the San Diego coast was mapped from data collected on December 5th, 2019, while the land surface data was collected on April 4th, 2022. Shades of red indicate high turbidity values, while blue areas show normal turbidity values. Areas of high turbidity reflect high concentration of pollutants from stormwater runoff.​

Monitoring Pollution Plumes due to Storm and Wastewater Runoff in the San Diego Bay and Tijuana River Estuary to Inform Water Quality Management

Topic
DEVELOP
Capacity Building
Water Resources
San Diego Water Resources (FALL 2022) Team: Ethan Gates (Project Lead), Stefanie Mendoza, Jonathan Szeto, Max VanArnam Summary: Stormwater and wastewater runoff are a large...
NDVI imagery derived from Landsat 8 OLI data. This imagery showing the California’s Carmel and Salinas Valleys within the surrounding Santa Lucia Mountain range was collected in the Spring of 2019 . Light green areas show the more developed, agriculturally intensive areas of the valley while the dark blue areas show the less developed hills. NDVI calculations were used in models of forest cover changes in the area over time.

Monitoring Land Cover Change to Understand Conservation Outcomes in Coastal California

Topic
Urban Development
DEVELOP
Capacity Building
Carmel Valley Urban Development (Fall 2022) Team: Cooper Campbell (Project Lead), Julia Portmann, Devina Garcia, Audrey Wilson Summary: Urban expansion in diverse ecosystems has numerous...
Annual max biomass calculated from 2021 daily Harmonized LandSat Sentinel-2 (HLS) dataset. Dark purple colors show low biomass while the bright orange show high biomass. Regions with high vegetation and tree canopy cover are shown in orange on the left of the image. High biomass values are of an interest to rangeland managers to help inform their grazing decisions based on which areas of the ranch produce the most biomass/vegetation.

Rangeland Monitoring to Inform Grazing Management in Eastern Colorado

Topic
DEVELOP
Capacity Building
Agriculture
Eastern Plains Agriculture (Fall 2022) Team: Jillian Joubert, Sarah Hettema, Deni Ranguelova, TR Ingram, Max Stewart Summary: Adaptive management on cattle ranches requires rangeland managers...
NDWI-processed imagery from Landsat 8 Operational Land Imager data. This mosaicked image was taken from January to December 2021 of Jekyll Island, Georgia. NDWI contrasts the water features in a satellite image to its surroundings by measuring the moisture content. Low moisture content is shown in white, and high moisture content is shown in blue.

Evaluating the Impacts of Hurricane Irma on Georgia Heirs Property Owners Using Earth Observations

Topic
DEVELOP
Capacity Building
Disasters
Georgia Disasters (Fall 2022) Team: Isabella Chittumuri (Project Lead), Nancee Uniyal, Nathan Tesfayi, Shakirah Rogers Summary: In September 2017, Hurricane Irma made landfall in southern...
NDVI-processed imagery taken by Landsat 9 OLI-2 in May 2022 of Bryce Canyon National Park and nearby urban area. Healthy vegetation are visualized as bright yellow, while stressed plants, bare earth, and urban areas approach dark red. The continuity of the Landsat program described vegetation response to pervasive drought conditions in Bryce Canyon which the National Park Service can use to when making conservation decisions.

Monitoring Vegetation Health and Water Availability in Bryce Canyon National Park for Drought Stress Mitigation Planning

Topic
DEVELOP
Capacity Building
Water Resources
Bryce Canyon Water Resources (Fall 2022) Team: Aaron Carr (Project Lead), Mel Frost, Alissa Stark, Ashley Grinstead Summary: Bryce Canyon National Park is home to...

Assessing the Relationship Between Drought Indicators and Wildfire Risk to Enhance Hazard Modeling and Inform Mitigation Planning

Topic
DEVELOP
Wildfires
Capacity Building
Idaho Wildfires II (Fall 2022) Team: Talissa Cota (Project Lead), Dana Drinkall, Ryan Healey, Tyler Morvant Summary: The western United States has experienced twenty years...
We created an averaged seasonal Evaporative Stress Index (ESI) composite for fall 2020 in the west Tennessee region utilizing NASA’s ECOSTRESS sensor onboard the International Space Station. The ESI reveals areas where vegetation is stressed due to lack of water. Dark blue regions represent areas where vegetation is thriving, compared to the yellow areas, where vegetation is experiencing some water stress.​​

Leveraging High Resolution Remotely Sensed Data to Assess Water Availability and Vulnerability in the Memphis Aquifer Area in West Tennessee

Topic
DEVELOP
Capacity Building
Water Resources
Western Tennessee Water Resources (Fall 2022) Team: Lauren Webster (Project Lead), Elena Pilch, Michael Pazmino, Katera Lee Summary: The Memphis Aquifer (MA) is located in...
Google Earth Engine processed off-shore imagery in the Gulf of Mexico. The image was captured by NASA Earth observations satellite Landsat 9 OLI on March 9, 2022. Colors correspond to fractional reflectance values derived from a multi-band-multi-pass method for detecting methane absorption across bands 6 and 7.

Mapping Methane Emission Plumes Using Sunglint-configured Imagery for Monitoring Offshore Oil & Gas Activity

Topic
DEVELOP
Capacity Building
Health & Air Quality
Gulf of Mexico Health & Air Quality II (Fall 2022) Team: Ben Dahan (Project Lead), Melodi Hess, Rene Castillo, Vanessa Machuca Summary: Offshore oil and...

Connect with the Applied Sciences Program

With help from NASA’s Earth-observing satellites, our community is making a difference on our home planet. Find out how by staying up-to-date on their latest projects and discoveries.

Stay Connected