Displaying 21 - 30 of 85

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...
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...
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...
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...
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...

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