Nearly two years ago, the USGS project Patterns in the Landscape–Analyses of Cause and Effect (PLACE) adapted the USGS Dynamic Surface Water Extent (DSWE) model to generate monthly maps across the Landsat archive on the Google Earth Engine (GEE) cloud computing platform.
Multispectral (approx. 4-12 bands)
A previous study (https://doi.org/10.3133/ofr20171098) demonstrated that satellite-derived Normalized Difference Vegetation Index (NDVI) could detect Phragmites australis (marsh grass) dieback caused by Asian scale insect infestation. However, NDVI is a relative indicator when quantitative mapping is needed.
The USGS Upper Midwest Environmental Sciences Center (UMESC) is leading a study to construct, deploy, and evaluate an underwater Acoustic Deterrent System (uADS) at Lock and Dam 19 (LD19) near Keokuk, Iowa. The uADS will be designed with the goal of deterring Asian carp from moving upstream in the upper Mississippi River.
Invasive annual grass is problematic in much of the Great Basin and surrounding areas. Cheatgrass (Bromus tectorum) is by far the most pervasive of these grasses. It outcompetes native plants by completing its entire growth cycle--growing early in the spring, rapidly producing seed, and senescing--, before many native plants advance beyond initial growth phases.
Historical quantification of invasive grass cover in the Great Basin provides a spatiotemporal 30-meter resolution data cube that can be mined for the environmental envelopes associated with cheatgrass (Bromus tectorum) invasion, and environmental envelopes for cheatgrass tipping points, trends, and post disturbance (fire) succession trajectories.
The USGS Fire Danger Forecast Program develops daily depictions of the potential for large wildfire occurrence based on vegetation and weather conditions for the conterminous U.S. Several products are made available each day, including the Fire Potential Index, Probability of Large Fire Occurrence, and the Expected Number of Large Fires per forecast area.
The USGS Earth Resources Observation and Science (EROS) Center has supported Burned Area Emergency Response (BAER) teams since 2001 by providing satellite image-derived burn severity products.
A vital aspect of U.S. Fish and Wildlife Service fire management is to conduct fuels treatments that maintain habitat for wildlife, reduce the risk of large wildfires and maintain viewsheds.
This project builds upon wildland fire remote sensing research by addressing novel questions through the analysis of pre-fire and post-fire light detection and ranging (lidar) data and fusion with optical remote sensing.
The Monitoring Trends in Burn Severity (MTBS) Program is a joint effort between the USGS Earth Resources Observation and Science (EROS) Center and the U.S. Forest Service Geospatial Technology and Applications Center (GTAC). The program started in 2005 with a charter to map all large wildfires in the U.S. from 1984 to the present.