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Satellite image of the US with ARSET logo
Health & Air Quality

ARSET - NASA Air Quality-Focused Remote Sensing for EPA Applications

Training Type
In-Person Training
Level
Advanced
Date
Marzo 21, 2023 - Marzo 23, 2023
Potential for land cover to change from trees to grass, forb, and herb between 1987 and 2020 in the Teton Mountain Range. Image created from LCMS land cover data which are derived from Landsat 4, 5, 7, and 8 imagery (1987 - 2020). High transition potential is depicted in yellow and low transition potential is indigo. Transition potentials help to forecast land cover and inform land managers on the locations of suitable bighorn sheep habitat.

Assessing Forage Change and Winter Habitat Availability for Bighorn Sheep that Employ a High-Elevation Overwintering Strategy to Identify Areas for Intervention

Topic
DEVELOP
Capacity Building
Ecological Conservation
Grand Teton Ecological Forecasting (Fall 2021) Team: Alex Posen (Project Lead), Allyson Earl, Sarah Hettema, and Michael Hitchner Summary: Grand Teton National Park provides habitat...

SAR for Landcover Applications

Podest, E.; McCartney, S.; McNair, H.; Jiao, X.; Banks, S.; Behnamian, A. (2019).

SAR para Desastres y Aplicaciones Hidrológicas

Podest, E.; McCartney, S.; Fielding, E.J.; Handwerger, A.L.; Grunfeld Brook, N.A. (2019).

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...
Disasters

Observed Flooding Areas Using USGS / NASA Landsat 8 and Copernicus / ESA Sentinel SAR data

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...
Magnitude of largest model break in Continuous Change Detection Algorithm harmonic regression model, indicative of clearcut logging in the Oregon coast range forests. Imagery from Landsat 4-5 TM, Landsat 7 ETM+, and Landsat 8-9 OLI from across the study period 2000-2021 over standard hill shade. Patches of blue show clear cut areas with lavender then yellow indicating higher magnitude. Green areas represent forests untouched during the study period.

Mapping Recent Logging within Drinking Watersheds of Oregon’s Coastal Range to Support Future Resource Management Policies

Topic
DEVELOP
Ecological Conservation
Oregon Coast Range Ecological Conservation (Summer 2023) Team: Emily French (Project Lead), Uma Edulbehram, Sarah Hughes, Madison Arndt Summary: Logging operations are widespread across the...
Predicted cheatgrass green-up imagery from Landsat 8 OLI data. This composite image of the western portion of the Mullen Fire Study Area is from June 2022. Shades of green and yellow indicate an earlier green-up time, while orange, brown, and white areas show later predicted green-up times. This data was used to create NDVI difference maps which will help managers predict when and where to apply treatments to limit the spread of cheatgrass.

Improving Invasive Species Detection Mapping with Novel Phenology Approaches

Topic
DEVELOP
Ecological Conservation
Southern Wyoming Ecological Conservation II (Summer 2023) Team: Bryan Graybill (Project Lead), Lillian Gordon, Estelle Lindrooth, Sarah Sathe Summary: Cheatgrass (Bromus tectorum) is an invasive...

SAR y sus Aplicaciones para la Cobertura Terrestre

Podest, E.; McCartney, S.; McNair, H.; Jiao, X.; Banks, S.; Behnamian, A. (2019).

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