Filters: Tags: Prescribed Fire (X) > Categories: Data (X)
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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available wildland fire datasets that identify wildfire and prescribed fire areas across the United States. However, these datasets are all limited in some way. Time periods, spatial extents, attributes, and maintenance for these datasets are highly variable, and none of the existing datasets provide a comprehensive picture of wildfires that have burned since the 1800s. Utilizing a series of both manual processes and ArcGIS Python (arcpy) scripts, we merged 40 of these disparate datasets into a single dataset that encompasses the known...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Fire,
North America,
Prescribed Burn,
Prescribed Fire,
Raster,
First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available fire datasets that identify wildfire and prescribed fire burned areas across the United States. However, these datasets are all limited in some way. Their time periods could cover only a couple of decades or they may have stopped collecting data many years ago. Their spatial footprints may be limited to a specific geographic area or agency. Their attribute data may be limited to nothing more than a polygon and a year. None of the existing datasets provides a comprehensive picture of fires that have burned throughout the last...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Fire,
North America,
Prescribed Burn,
Prescribed Fire,
United States,
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. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had > 0.010...
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9347I2H. These data were compiled to estimate fine-fuel abundance and distribution across the Buenos Aires National Wildlife Refuge in southern Arizona, USA. The objectives of the study were to develop and validate annual estimates of fine fuel (biomass of herbaceous vegetation) for the refuge and to assess changes in fine fuels through time in response to wildfire and prescribed fire. These data represent the amount of herbaceous biomass or fine fuels (kg/ha) present at a 10-m resolution derived from in-situ estimates of ground cover modeled with satellite imagery. These satellite image data were collected over...
Categories: Data;
Tags: 10-m resolution,
Arizona,
Botany,
Buenos Aires National Wildlife Refuge,
Ecology,
EcoAdapt staff located and compiled relevant gray literature from Northwest national forests (e.g., forest management plans, fire management plans and policies, climate change strategy documents) written between 1986-2015, and categorized the ways in which fire-related climate adaptation actions appear in these documents. A coding system was created to review and catalog how climate adaptation actions appear in each document. Each document was reviewed and scored based on a 0-2 scale with 0 indicating no presence of climate adaptation action(s) within the document, 1 indicating presence of climate adaptation action(s) within the document, and 2 indicating climate adaptation action(s) are the focus/priority of the...
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. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had > 0.010...
**About This Project** Open woodlands dominated by southern yellow pine were historically a large component of the landscape across the southeastern United States. These woodlands have an open canopy of longleaf, slash, shortleaf, and/or loblolly pines, with scattered shrubs and a grassy understory. These southern open pine ecosystems support many species of wildlife, many of which have declined in recent years as the amount and condition of their habitat has declined. This troubling decline in wildlife species has led to a focus on regional conservation efforts by America’s Longleaf, the National Fish and Wildlife Foundation, Landscape Conservation Cooperatives, state wildlife agencies, the U.S. Forest Service,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Fire,
prescribed fire
Wildfires and prescribed fires are frequent but under-mapped across wetlands of the southeastern United States . High annual precipitation supports rapid post-fire recovery of wetland vegetation, while associated cloud cover limits clear-sky observations. In addition, the low burn severity of prescribed fires and spectral confusion between fluctuating water levels and burned areas have resulted in wetland burned area being chronically under-estimated across the region. In this analysis, we first quantify the increase in clear-sky observations by using Sentinel-2 in addition to Landsat 8. We then present an approach using the Sentinel-2 archive (2016-2019) to train a wetland burned area algorithm at 20 m resolution....
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. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had > 0.010...
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,
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,
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. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had > 0.010...
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,
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