Displaying 11 - 20 of 41
Forest cover and land surface temperature (LST) around Maine's Penobscot River during Summer 2021. The shades of green distinguish between evergreen (dark) and deciduous (light) forest which were classified using Landsat 8 OLI imagery. The purple gradient corresponds to LST derived from Terra MODIS where the warmest areas, including Bangor, are white. Changing land use and warming temperatures along Maine’s rivers are associated with reducing juvenile Atlantic salmon (Salmo salar) survivorship.

Utilizing Earth Observations to Monitor Federally Endangered Atlantic Salmon (Salmo Salar) Habitat in Maine: An Interactive Workshop 

Topic
DEVELOP
Capacity Building
Ecological Conservation
Maine Ecological Forecasting III (Summer 2022) Team: Jonathan Falciani (Project Lead), Colin Hogan, Linda Mitchell, Makario Sarsozo Summary: Shifting patterns in land use and land...
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...
Median daily evapotranspiration (ET) from September 2021 to May 2022 calculated from ISS ECOSTRESS data. The image covers the agricultural fields adjacent to the Maipo River, Chile and depicts water stress. The color scale ranges from red (low ET) to blue (high ET), with higher ET observed over irrigated agricultural fields. ET is used for estimating crop irrigation requirements. This data will inform irrigation management practices and help alleviate water scarcity within the area. ​

Determining Crop Coefficients Using Remote Sensing for the Maipo River Valley Basin in Chile 

Topic
DEVELOP
Capacity Building
Agriculture
Maipo River Valley Agriculture (Summer 2022) Team: Benjamin Goffin (Project Lead), Duncan Srsic, Rishudh, Sarah Carlos Summary: Agriculture is the primary use of water in...
2022 Spring CO Boulder County Disasters Website Image

Mapping Forest Carbon Stocks to Understand Carbon Implications of Treatments and Wildfire

Topic
DEVELOP
Capacity Building
Disasters
Boulder County Disasters (Spring 2022) Team: Sarah Hettema (Project Lead), Jennifer Rogers, Ibuki Sugiura, Erin Twaddell Summary: In recent years, record-breaking wildfire activities in the...
AppSci Week 2021 Header

2021 Earth Science Applications Week

August 9, 2021
August 12, 2021
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 over Mato Grosso, Brazil processed from March 2021 Landsat-8 OLI data. Calculated NDVI values correspond with colors shown to indicate plant health. High NDVI values (green to blue) indicate dense vegetation found in tropical and temperate forests or crops at their peak growth. Low values (yellow to red) depict barren land, water, and moisture-stressed vegetation. These data can support timely and efficient agricultural responses to ensure productive yields and food security.​

Enhancing Crop Classification Mapping Using Optical and Radar Satellite Sensors to Enhance Agricultural Management and Policymaking in Mato Grosso, Brazil  

Topic
DEVELOP
Capacity Building
Agriculture
Mato Grosso Agriculture (Summer 2022) Team: Max Rock (Project Lead), Elijah Dalton, Aidan Harvey, Kate Reynolds Summary: Ranked as the fourth largest food producer in...

TRANSFORMING EARTH OBSERVATIONS TO KNOWLEDGE THROUGH INCLUSIVE PARTICIPATION

February 22, 2022
February 22, 2022
NDWI-processed composite image from Landsat 8 OLI data of the Lower Illinois River Valley and surrounding landscapes from summer 2021. Shades of pale yellow indicate dry vegetation and dark teal represents open water, while brighter turquois values depict wet vegetation. Areas of high NDWI values are demonstrative of high presence of wet vegetation and are of interest to the Great Rivers Land Trust in identifying areas of interest for wetland conservation.

Inundation Mapping of the Lower Illinois River Valley Using Synthetic Aperture Radar and Optical Satellite Imagery for Wetland Conservation and Restoration Prioritization Efforts 

Topic
DEVELOP
Capacity Building
Ecological Conservation
Lower Illinois River Valley Ecological Forecasting (Summer 2022) Team: Vanessa Machuca (Project Lead), Dana Myers, Hannah Rigdon, Christiana Saldana Summary: The Lower Illinois River Valley...
An NDWI waterbody mask derived from Landsat-8 OLI cloud-masked imagery from March-May 2019-2021 is shown in blue at 10-meter resolution over Mexico, Belize, and Guatemala. The ALOS-PALSAR-2 fine-beam L-band false color composite includes Refined Lee speckle filtered HV, HH, HH/HV bands. Darker and brighter green hues represent to low and high backscatter, respectively. Differentiating between open water, like the Hondo River, from vegetated inundation is important when distinguishing inundation by land cove

Mapping Inundation Below the Forest Canopy in the Maya Tri-National Forest

Topic
DEVELOP
Capacity Building
Water Resources
Maya Forest Water Resources II (Fall 2021) Team: Stephanie Jiménez (Project Lead), Karen Alvarez, Rene Castillo, Daniel Nohren, and Stephanie Lawlor Summary: To monitor seasonal...

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