Geospatial and Remote Sensing Applications

We are using existing datasets that span broad spatial and temporal extents to model the efficacy of invasive annual grass treatments across the sagebrush biome and the influence of environmental factors on their success. The models we develop will be used to generate maps of predicted treatment efficacy across the biome, which will be integrated into the Land Treatment Exploration Tool for land...

USGS researchers are conducting a comprehensive study of wild horse and livestock records across the greater sage-grouse range to investigate impacts on vegetation and wildlife (specifically, sage-grouse and songbirds). Researchers will use these results to evaluate Appropriate Management Levels for wild horse and burros, and projections of vegetation productivity under changing conditions.

Disturbances, management, and changing environmental conditions have reshaped the sagebrush biome within the western United States. As a result, sagebrush cover and configuration have varied over space and time, influencing ecological processes and species' use of the landscape. Characterizing changes in sagebrush ecosystem connectivity over time will help us understand the effects of those...

Management partners have identified a major need to understand the short and long-term consequences of altered wildfire patterns, vegetation change, climate, and management actions for the carbon cycle. This project aims to quantify carbon storage and greenhouse gas emissions in sagebrush rangelands. Researchers will link findings to the Sagebrush Conservation Design Framework and provide...

Wildlife management boundaries often lack biological context, including information on habitat resource availability and wildlife movements. To address this, we developed multiple levels of biologically relevant and hierarchically nested greater sage-grouse ( Centrocercus urophasianus) population units to facilitate the management and conservation of populations and habitats.

USGS WERC’s Dr. Karen Thorne and her research team are using drone imagery to understand how the 2018 Carr Fire affected ecosystems and cultural resources. The study, a collaboration with the National Park Service (NPS), focuses on Whiskeytown National Recreation Area in northern California. The drone images will help the WERC researchers identify changes in topography, cultural sites, debris...

EROS work on fire activity in the United States includes the creation of an atlas of fire perimeters for fires occurring on U.S. National Wildlife Refuges from 1984 through 2013. Fire Atlas perimeter data provide information to refuge managers as they plan land management activities for their units. EROS analysts use data provided by the U.S. Fish and Wildlife Service (FWS), which include a name...

Monitoring Trends in Burn Severity (MTBS) is an interagency program whose goal is to consistently map the burn severity and extent of large fires across all lands of the United States from 1984 to present. This includes all fires 1,000 acres or greater in the western United States and 500 acres or greater in the eastern Unites States. The extent of coverage includes the continental U.S., Alaska...

Landsat Collection 1 Level-3 Burned Area (BA) contains two acquisition-based raster data products that represent burn classification and burn probability. NOTE: Landsat Collection 1 data and products are no longer available to download from the USGS as of December 30, 2022. Landsat Collection 2 remains available. Please access the Landsat Collection 2 webpage below for information about Collection...

USGS Earth Resources Observation and Science (EROS), in conjunction with the US Forest Service Pacific Southwest (PSW) Region, has developed several new products for understanding and forecasting the probability of large wildland fires on all land in the conterminous U.S.

Every year, wildfires devastate the landscapes of Southern California from Los Angeles to San Diego. How has a higher number of human-caused fires affected fire hazards and threats to resources? WERC’s Dr. Jon Keeley and collaborators are analyzing fire patterns across the state to help cities balance their management of fire hazards and natural resources.

Debris flows are high-density slurries of water, rock fragments, soil, and mud that can have enormous destructive power. Wildfire can drastically increase the probability of debris flows in landscapes that have otherwise been stable. In 2010, the USGS developed the Cannon model to estimate postwildfire debris-flow probabilities and volumes in burned areas. In 2013, with the help of U.S. Forest...