Images

The graphical user interface of the Cloud-based tidal marsh biomass mapping tool that highlights features and map outputs.

A fact sheet that shows the RUSH tool’s characteristics and graphical user interface.

The GFSAD is a NASA funded project (2023-2028) to provide highest-resolution global cropland data and their water use that contributes towards global food-and-water security in the twenty-first century. This image is from the GFSAD project members' 4th workshop hosted in Flagstaff, Arizona where Dr.

The GFSAD is a NASA funded project (2023-2028) to provide highest-resolution global cropland data and their water use that contributes towards global food-and-water security in the twenty-first century. This image was taken after day one of the 4th GFSAD project workshop hosted in Flagstaff, Arizona.

A fire stopped through active suppression activities at a fuel break in Idaho. 

Maps of (a) chl-a concentration, (b) carbohydrates, (c) lipids, and (d) total organic carbon in southern San Francisco Bay, 15 April 2021, based on final partial least squares regression models and AVIRIS-NG 3.7 m imagery. Base map from Esri and its licensors, copyright 2022.

Examples of three types of intertidal biofilms observed at study sites with varying pigmentation. (a) Dark gray-greens are indicative of cyanobacteria; (b) Golden brown is indicative of diatoms; (c) Bright green is indicative of chlorophytes.

Western sandpiper foraging on a mudflat. This shorebird, which winters along coasts across the Americas and breeds in northern Alaska), may consume up to 20 percent of their body weight in biofilm per hour when fueling up for migration. 

Map showing estimated light absorption at 440nm, a proxy for the amount of colored dissolved organic matter in south San Francisco Bay waters. Project page: Remote Sensing of Mercury Pollution in South San Francisco Bay.

High-resolution multispectral imagery collected in March 2024 by USGS of NPS vegetation monitoring plots at Palo Alto Battlefield in Brownsville, TX. The black boxes outline the sampling plot perimeter, and the green polygons outline patches of cordgrass (Spartina).

High-resolution multispectral imagery collected in March 2024 by USGS of NPS vegetation monitoring plots at Palo Alto Battlefield in Brownsville, TX. The black boxes outline the sampling plot perimeter, and the green polygons outline patches of cordgrass (Spartina).

High-resolution multispectral imagery collected in March 2024 by USGS of NPS vegetation monitoring plots at Palo Alto Battlefield in Brownsville, TX. The black boxes outline the sampling plot perimeter, and the green polygons outline patches of cordgrass (Spartina).

High-resolution multispectral imagery collected in March 2024 by USGS of NPS vegetation monitoring plots at Palo Alto Battlefield in Brownsville, TX. The black boxes outline the sampling plot perimeter, and the green polygons outline patches of cordgrass (Spartina).

FIGURE: A map showing the primary study site, including the San Carlos River and Bylas Reach of the Gila River from Petrakis et al. (2023[LN1] ).

Community members of the SCAT collecting tamarisk beetles on the Reservation (photo by Roy Petrakis, USGS) and USGS scientists teaching at the San Carlos Apache Tribe Summer Youth Practicum for Environmental Protection where the kids were talking about, learning about,  and building NIDS (photo by Christy Sangster Begay, SCAT). 

Community members of the SCAT collecting tamarisk beetles on the Reservation (photo by Roy Petrakis, USGS) and USGS scientists teaching at the San Carlos Apache Tribe Summer Youth Practicum for Environmental Protection where the kids were talking about, learning about, and building NIDS (photo by Christy Sangster Begay, SCAT). 

The USGS Western Geographic Science Center has been partnering with collaborators from the San Carlos Apache Tribe (SCAT) and Bureau of Indian Affairs (BIA) to address natural resource questions since 2004. We work with SCAT Departments of Forestry, Range Management and Environmental Protection. 

RUSH is a tool for rapid repeat high resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience.

Two glasses of water, the one on the left has dissolved organics and particulate matter in it making it brown and cloudy. The glass on the right is clear and clean and colorless. This illustrates the main concept of aquatic remote sensing: water color changes based on what’s in it and we can link those color differences to differences in composition.

Example spectra of water, water with algae, and water with sediment. The x-axis is wavelengths of light. For remote sensing of water, we are only interested in the visible range (400 nm – 700 nm) and a little bit of the ultra violet and infrared. The y-axis is the amount of light in each wavelength.

Examples of low- and high-resolution imagery. Higher resolution imagery allows more detailed spatial patterns to be viewed in the imagery.