Filters: Tags: prescribed fire (X)
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. The scene-level products are available through https://earthexplorer.usgs.gov. Annual composite products were derived from the scene level products. Prior to generating...
Many studies have investigated the ecological effects of roads and roadsides as both habitat and dispersal corridors for exotic plant species. Several of these compared roadside exotic species richness and abundance with adjacent interior habitats, but we found no studies of individual exotic species' abundance between the two habitats in the context of prescribed fire. We measured exotic species richness and individual species' abundance along roadsides and in adjacent interior habitat (> 150 m) before and after prescribed fire at three ponderosa pine (Pinus ponderosa Douglas ex Lawson & C. Lawson) sites in northern Arizona. Eighteen of the 20 exotic plant species found in this study have been and continue to be...
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Burned Area Extent,
CBR 2010,
Central Basin and Range,
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This...
The overall project goal is to understand and model the watershed impacts of forest restoration actions (thinning, prescribed fire) and climate change on the hydrologic function, particularly with respect to (1) changes in soil moisture and water yield during snowmelt, (2) inter-annual and directional changes in stream water quality, and (3) the resulting impacts on watershed management for wildlife species threatened by disturbance and climate change.Specifically, we will: use known relationships of forest structure on snow-water equivalent (SWE) values and processes of sublimation (ablation), infiltration and run-off in the Jemez Mountains of northern New Mexico to model forest-stand restoration prescriptions,...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cultural Resources,
Decision Support,
Federal resource managers,
Informing Conservation Delivery,
Jemez Mountains,
Derived data layer based upon the MTBS data layer. The layer represents the distance to the mapped burns and is used to model invasive annual grasses and noxious forbs. The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial,...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Burned Area Extent,
CBR 2010,
Central Basin and Range,
The project was conducted to study the effects of land management options. It was conducted across a regional network of sites in sagebrush communities. Using this regional network of sites allowed us to understand the thresholds between healthy and unhealthy sagebrush communities over a broad range of conditions across the Great Basin. Sites were located in sagebrush communities threatened by cheatgrass invasion, and we studied the effects of four land management options: control (no management action), prescribed fire, mechanical thinning of sagebrush by mowing, and herbicide application (to thin old, unproductive sagebrush plants and encourage growth of young sagebrush and native understory grasses). An additional...
Categories: Data,
Data Release - Revised;
Tags: Cheatgrass,
Field inventory and monitoring,
Fuel Reduction Treatments,
Great Basin,
NCCWSC,
Northern Arizona University will study how forest treatment practices and climate change may impact water balance across the Kaibab Plateau and critical habitats in lower elevations of the Grand Canyon. The project will include use of a forest landscape simulation model to examine how fuel treatments and prescribed burning will affect the resilience of forest ecosystems. The project will also address whether those activities would benefit the conservation of downstream riparian habitat by mitigating anticipated changes in the stream flow and water quality.The model will assist managers in developing, adaptation strategies for the conservation of riparian habitats by testing a range of realistic fuel treatment and...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AZ-01,
Arizona,
Arizona,
Conservation NGOs,
Decision Support,
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This...
Improving the quality of habitat for western big-game species, such as elk and mule deer, was identified as a priority by the Department of the Interior in 2018. Maintaining healthy herds not only supports the ecosystems where these species are found, but also the hunting and wildlife watching communities. For example, in Wyoming, big game hunting contributed over $300 million to the state’s economy in 2015. Yet as climate conditions change, the quantity, quality, and timing of vegetation available to mule deer, elk, and other ungulates, known as forage, could shift. It’s possible that these changes could have cascading impacts on the behavior and population sizes of many species. A key strategy used by managers...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
EVI,
IRG,
Mammals,
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. The scene-level products are available through https://earthexplorer.usgs.gov. Annual composite products were derived from the scene level products. Prior to generating...
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