Displaying 3451 - 3460 of 3720
Aerosol Optical Depth for a dust event on July 26th-27th, 2021, calculated with the MAIAC algorithm from Terra and Aqua MODIS satellite data. Great Salt Lake surface area, in blue, was derived from JRC Yearly Water Classification History and processed imagery from Landsat 5, 7, and 8. The map depicts regions that are most impacted by dust surrounding the Great Salt Lake. Red and Yellow represent high dust levels within Northern Utah.

Monitoring Lakebed Exposure and its Impact on Air Quality and Environmental Hazards in the Great Salt Lake Watershed

Topic
DEVELOP
Health & Air Quality
Great Salt Lake Health and Air Quality (2023 Spring) Team: Piper Christian (Project Lead), Fiona Summers, Yoana Vargas Magana, Andrea Delgado Summary: Water flow into...
Urban heat island effect in New York City, New York calculated using Landsat 8 TIRS imagery from May 2020-21. Red and orange areas depict where the effect is most severe and bus routes are overlayed in white. Areas where bus routes intersect with high heat exposure can be prioritized for bus shelters and community engagement.

Assessing Urban Heat Island Effects at Bus Stops in New York City to Support Cooling Interventions

Topic
DEVELOP
New York City Transportation and Infrastructure (2023 Spring) Team: Thomas Schindelman (Project Lead), Emily Culling, Gianna Méndez Germán, Janna Chapman Summary: New York City, the...
This image shows the mixed environments near the American Falls Reservoir throughout the year, blended using 2022 summer and winter NDVI false-color composites derived from Landsat 8 OLI and overlaid by a hillshade from SRTM. The white color indicates snowpack in the mountain wilderness, the primary water resource for agriculture and habitats near the reservoir. Bright red denotes marshes and irrigated farms, essential resources for wildlife animals and humans living in Southern Idaho.

Investigating the Impact of Targeted Grazing to Improve Wetland Habitat in the Sterling Wildlife Management Area  

Topic
DEVELOP
Capacity Building
Ecological Conservation
Idaho Ecological Conservation (2023 Spring) Team: Preethi Malur Balaji (Project Lead), Talissa Cota, Kangsan Lee, Melissa McNally Summary: Management Area in Bingham County, Idaho, has...
The satellite imagery is a Sentinel-1 Ground Range Detection C-SAR image from July 2nd, 2021, taken over the Sudd Wetland located in South Sudan. The image shows the 'VV' backscatter values, which correlate to vertical transmission and vertical reception from the C-SAR instrument and are used to classify wetland inundation extent. Low 'VV' values (blue) represent areas covered by open waters & inundated land areas and high 'VV' values (yellow) represent dry land areas.

A Google Earth Engine Python API Tool to Automate Wetland Extent Mapping Using Radar Satellite Sensor for Wetland Management and Monitoring

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DEVELOP
Water Resources
WET Water Resources (2023 Spring) Team: Lori Berberian (Project Lead), Kaely Harris, Mitch Porter, Emma Waugh Summary: Wetland ecosystems are annually or seasonally wet transition...
Aerosol optical depth concentration from MODIS, captured on August 16, 2020, during the fire season. Dark purples hues indicate normal atmospheric conditions, while orange and yellow hues show high concentrations of aerosols, suggesting the presence of smoke and particulate matter following a fire event. MODIS aerosol optical depth can be used as a proxy for PM2.5 pollution, increasing decision makers’ capacities to monitor and address the negative effects of wildfire smoke plumes on residential areas.

Using Earth Observations to Monitor Wildfire Smoke and Air Pollution for Enhanced Air Quality Management in Colorado Springs, Colorado

Topic
DEVELOP
Health & Air Quality
Colorado Springs Health and Air Quality (2023 Spring) Team: Olivia Etherton, Jeanette Moritz, Joshua Stokes, Ephrata Yohannes Summary: The City of Colorado Springs, situated in...
Turbidity calculated from a 5/11/2022 Landsat 8 OLI scene. The dark blue, purple, and pink pixels indicate low to high levels of turbidity respectively in Lake Winnipesaukee, New Hampshire and surrounding water bodies. This is layered over an SRTM DEM dataset, acquired 2/11/2000 and published 9/23/2014, showing varying elevations. More turbid waters are less suitable for loon habitats and are thus of interest to monitor loon preservation.

Predicting Future Conflicts between Loon Habitats and Human Development in New Hampshire using NASA Earth Observations

Topic
DEVELOP
Ecological Conservation
New Hampshire Ecological Conservation (2023 Spring) Team: Jane Zugarek (Project Lead), Madison Arndt, Jessica Gray, Amelia Untiedt Summary: Bioindicator species monitoring allows researchers to infer...
The green areas show stable forest in NW Alabama classified by both National Land Cover Dataset (2016-2019) and Landscape Change Monitoring System(2016-2021), and the pink areas are areas where forest cover loss was sensed by NLCD, LCMS, LandTrendr (2016-2021), and Global Forest Watch (2016-2021). These datasets and the basemap were made with Landsat 5 Thematic Mapper, Landsat 7 Enhanced Thematic Mapper Plus, and Landsat 8 Operational Land Imager.

Leveraging Earth Observations to Estimate Carbon Dioxide Emissions from Forest Cover Loss in Alabama and Tennessee

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Climate
Southeast US Climate II (2023 Spring) Team: Cassie Ferrante (Project Lead), Katherine Scott, James Karroum, Cate Lull Summary: The balancing of atmospheric CO2 sources and...
The data for this image comes from NASA satellite Landsat 8 Operational Land Imager. Normalized Difference Vegetation Index and Cropland Data Layers were used to create the image. The black, brown, and bright green specks represent the different crops growing near Wheeler Lake Watershed in North Alabama. NDVI and cropland data can be used to predict and evaluate the effects of flash drought on agricultural crops.

Evaluating the Spatial and Temporal Distribution of Flash Droughts within Agricultural Areas and Regional Crop Calendars in the Southeast using Earth Observations

Topic
DEVELOP
Agriculture
Southeast US Agriculture (2023 Spring) Team: Kindrea Gibbons (Project Lead), Michaela Gooch, Quinton Deppert, Casey Mills Summary: A flash drought refers to the rapid onset...
Normalized Difference Snow Index (NDSI) Image calculated from a May 2021 Landsat 8 top-of-atmosphere (TOA) reflectance image. The purple area depicts areas without snow and the yellow area represents areas with snow cover. This information can be used by refuge managers to monitor snow conditions and prepare for the ecological, cultural, and landscape impacts caused by snow.

Using Earth Observations to Evaluate Snow Variability through a Climatological Analysis to Support Ecological Monitoring in Northeast Alaska

Topic
DEVELOP
Climate
Northeast Alaska Climate (2023 Spring) Team: Kristin Anderson (Project Lead), Omeed Arooji, Isabella Chittumuri, Tom Germann Summary: Alaska is experiencing climate change at an unprecedented...
The InVEST urban flood model produces various outputs, like the runoff retention seen here. The model output was derived from GPM IMERG, land cover, soil type, and curve number data. This image is from the extreme rainfall storm event on August 22, 2017. This image shows where the runoff is being retained in Kansas City, KA. The dark purple represents extremely high runoff retention while the yellow represents low retention with the green and blue representing increasing amounts of retention. The background

Incorporating Earth Observation Data into the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) Urban Flood Risk Mitigation Model Python API

Topic
Urban Development
DEVELOP
InVEST Urban Development (2023 Spring) Team: Son Do & Jessica Besnier Summary: Urban flooding poses as one of the biggest issues for cities today as...

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