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호주
Planned Burns 2013/14 - 2015/16
Last updated: October 2013 This dataset represents the spatial extent of prescribed burns planned for ignition on Public Land in Victoria. This data is prepared annually for prescribed burns planned for the immediate three-year period.
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연관 데이터
Dept of Environment, Water and Natural Resources - Prescribed Burns
공공데이터포털
The dataset provides mapping of proposed burns conducted by the Department of Environment, Water and Natural Resources. It also contains some Forestry and SA Water prescribed burns. The proposed burn boundary polygons is the Assessment Area that is the area used for the environmental assessment for a prescribed burn.
Post-fire plot-level vegetation cover measurements in the western United States
공공데이터포털
These data consist of plot-level plant species cover measurements from numerous targeted post-fire vegetation studies across the western United States. This data release includes two data tables. The first data table: 'postfire_vegplot_dataset.csv', consists of absolute percent live foliar cover measurements of all plant species within plots from targeted post-fire vegetation studies, or 'datasets', across the western United States. The second data table: 'dataset_information_table.csv', lists any citations, links to related publications, or other notes about data collection for specific datasets.
ABoVE: Burn Severity, Fire Progression, Landcover and Field Data, NWT, Canada, 2014
공공데이터포털
This data set provides peatland landcover classification maps, fire progression maps, and vegetation community biophysical data collected from areas that were burned by wildfire in 2014 in the Northwest Territories, Canada. The peatland maps include peatland type (bog, fen, marsh, swamp) and level of biomass (open, forested). The fire progression maps enabled an assessment of wildfire progression rates at a daily time scale. Field data, collected in 2015, include an estimate of burn severity, woody seedling/sprouting data, soil moisture, and tree diameter and height of burned sites and similar vegetation characterization at landcover validation sites.
Dept of Environment, Water and Natural Resources - Last Bushfire and Prescribed Burn Boundaries
공공데이터포털
The dataset provides most recent fire scar mapping for many major fires that have burnt in a given area within or adjacent to National Parks and Wildlife South Australia (NPWSA) reserves. This data set is derived from Fire History mapping. The most recent fire mapping can be used for operational management and planning of fire events and ecological resource management.
LANDFIRE 2016 Remap Existing Vegetation Cover (EVC) Marshall Islands
공공데이터포털
LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), topographic, climate, and other geospatial data sets to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100%. The three independent lifeform datasets are merged into a single product. The EVC product is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Height (EVH) and Type (EVT) products. Disturbance events not visible in the source imagery are accounted for by incorporating LF Remap Annual Disturbance products. LF uses EVC as an input for LF Remap Fuel Vegetation Cover (FVC).
LANDFIRE 2016 Remap Existing Vegetation Cover (EVC) Marshall Islands
공공데이터포털
LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), topographic, climate, and other geospatial data sets to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100%. The three independent lifeform datasets are merged into a single product. The EVC product is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Height (EVH) and Type (EVT) products. Disturbance events not visible in the source imagery are accounted for by incorporating LF Remap Annual Disturbance products. LF uses EVC as an input for LF Remap Fuel Vegetation Cover (FVC).
LANDFIRE 2016 Remap Existing Vegetation Cover (EVC) Marshall Islands
공공데이터포털
LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), topographic, climate, and other geospatial data sets to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100%. The three independent lifeform datasets are merged into a single product. The EVC product is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Height (EVH) and Type (EVT) products. Disturbance events not visible in the source imagery are accounted for by incorporating LF Remap Annual Disturbance products. LF uses EVC as an input for LF Remap Fuel Vegetation Cover (FVC).
LANDFIRE 2016 Remap Existing Vegetation Type (EVT) Marshall Islands
공공데이터포털
LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In the context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) http://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. EVT is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.
LANDFIRE 2016 Remap Existing Vegetation Type (EVT) Marshall Islands
공공데이터포털
LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In the context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) http://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. EVT is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.
LANDFIRE 2016 Remap Existing Vegetation Type (EVT) Marshall Islands
공공데이터포털
LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In the context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) http://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. EVT is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.