Displaying 31 - 40 of 94

A Multi-Sensor Approach to Determine the Impacts of Human Activity and Natural Surface Deformation on the Black Rock Playa, Nevada

Topic
DEVELOP
Since the early 2000s, wind-deposited sediment mounds have been growing and encroaching onto the Black Rock Playa of the Black Rock Desert-High Rock Canyon Emigrant...
DEVELOP Day Banner image of gridded remote sensing pictures with the DEVELOP anniversary logo in the center
DEVELOP

Alumni Pathways After DEVELOP: Federal Careers

By
Rachel Seevers

Estimating Soil Moisture in Semi-arid Sagebrush Steppe Utilizing NASA Earth Observations

Topic
DEVELOP
Soil moisture is a critical component of ecosystem health, particularly in semi-arid landscapes where seasonal and infrequent precipitation is one of the primary controls on...

A Google Earth Engine Tool to Automate Wetland Extent Mapping Using Optical and Radar Satellite Sensors in the Great Lakes Basin for Wetland Management and Monitoring

Topic
DEVELOP
The Great Lakes Basin is one of the world’s largest freshwater ecosystems. The Basin harbors over 200,000 acres of wetlands that provide a variety of...

Improving Wetland Change Mapping using Optical and Radar Satellite Sensors to Assess Wetland Gain and Loss Metrics in Minnesota

Topic
DEVELOP
Wetlands are a critical feature of our landscape for the ecological services they provide, including protecting water quality, providing habitat to rare species, mitigating erosion...
Landsat 8 OLI derived MNDWI imagery mosaicked from October 17, 2020, to December 2, 2020. Located near the Río Patuca (Patuca River) in Ahuas, Honduras, permanent water and flood is represented as bright red and orange while blue depicts other land cover types and clouds. Examining floods from disasters like Hurricanes Eta and Iota helps decision makers improve mitigation and response efforts.

Using Earth Observations to Map Flooding for Disaster Monitoring, Inform Potential Risk, and Prepare for Possible Response 

Topic
DEVELOP
Capacity Building
Disasters
Central America Disasters (Fall 2021) Team: Caroline Williams (Project Lead), Lauren Carey, Maria De Los Santos, Deanna Fanelli, and Payton Ireland Summary: In November 2020...
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...
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...
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...
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...

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