Filters: Tags: landcover (X)
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28.
Categories: Data;
Types: Citation;
Tags: Birds,
CMR,
Charles M. Russell National Wildlife Refuge,
Data Visualization & Tools,
Landcover,
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Estimates of area and aerial extent of land-use categories are an essential component for computing the water budget of the High Plains aquifer. These raster land-use land class data represent yearly simulated future land use for the High Plains from 2009 to 2050 These data were developed using the FOREcasting SCEnarios (FORE-SCE) of future land cover model (Sohl and others, 2007; Sohl and Sayler 2008) for two (A2 and B2) of the...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Estimates of land use categories are an essential component for computing the water budget of the High Plains aquifer. These raster land-use data represent yearly estimated land use for the High Plains from 1949 to 2008. These data were developed using the FOREcasting SCEnarios of future land cover (FORE-SCE) model (Sohl and others, 2007) and then processed using a Geographic Information System (GIS). The GIS software used to process...
The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LandUse/LandCover (LULC) categories. This process involved stitching together more reliable sources for specific categories to...
Types: Citation;
Tags: Ecology,
Landcover,
Landuse,
USGS Science Data Catalog (SDC),
coastal Louisiana,
The Gulf Coast Prairie Landscape Conservation Cooperative needed seamless landcover data for the south-central United States. This information is essential for developing computer modeling tools related to the conservation of many terrestrial species and determining the quality of vegetation to assess current and desired conditions.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
Conservation NGOs,
DATA ANALYSIS AND VISUALIZATION,
DATA ANALYSIS AND VISUALIZATION,
Data Acquisition and Development,
A new regional dataset was produced using decision tree classifier and other techniques to model landcover. Multi-season satellite imagery (Landsat ETM+, 1999-2003) and digital elevation model (DEM) derived datasets (e.g. elevation, landform, aspect, etc.) were utilized to derive rule sets for the various landcover classes. Eleven mapping areas, each characterized by similar ecological and spectral characteristics, were modeled independently of one another. An internal validation for modeled classes was performed on a withheld 20% of the sample data to assess model performance. Results of the validation will be presented in the final report and are not available at this time. Mapping area models were mosaicked to...
This dataset is the third (circa 2013) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Gambia,
Land Cover,
Land Use,
biota,
land cover,
This raster file represents classification and mapping results for priority area 1 of the Cody Region and Yellowstone National Park land cover remote sensing project. Extensive field collected reference data describing the range of plant communities and habitat types comprising the Bighorn Basin have been analyzed to produce a classification of land cover types based on the Wyoming Game and Fish Department (WGFD) Wildlife Observation System (WOS). Corresponding land cover classes were subsequently spatially modeled using a non-parametric Classification and Regression Tree (CART) algorithm that integrated both spectral data from Landsat Thematic Mapper satellite imagery and a variety of ancillary environmental data...
Categories: Data;
Types: Downloadable;
Tags: Absaroka,
Bighorn Basin,
Land Cover,
Land Use,
Landcover,
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Acadia National Park,
ArcGIS Pro,
Arcpy,
Autoclassification,
Automation,
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Acadia National Park,
ArcGIS Pro,
Arcpy,
Autoclassification,
Automation,
The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecological Systems,
Landcover,
Oklahoma,
Subsystems,
Vegetation
The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product....
Types: Citation;
Tags: Landcover,
Landuse,
USGS Science Data Catalog (SDC),
coastal Louisiana,
environment,
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set depicts land use and land cover from the 1970s and 1980s and has been previously published by the U.S. Geological Survey (USGS) in other file formats. This version has been reformatted to other file formats and includes minor edits applied by the U.S. Environmental Protection Agency (USEPA) and USGS scientists. This data set was developed to meet the needs of the USGS National Water-Quality Assessment (NAWQA) Program.
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set depicts land use and land cover from the 1970s and 1980s and has been previously published by the U.S. Geological Survey (USGS) in other file formats. This version has been reformatted to other file formats and includes minor edits applied by the U.S. Environmental Protection Agency (USEPA) and USGS scientists. This data set was developed to meet the needs of the USGS National Water-Quality Assessment (NAWQA) Program.
Generally, the mapping of land cover is done by adopting or developing a land cover classification system, delineating areas of relative homogeneity (basic cartographic objects), then labeling these areas using categories defined by the classification system. More detailed attributes of the individual areas are added as more information becomes available, and a process of validating both polygon pattern and labels is applied for editing and revising the map. This is done in an iterative fashion, with the results from one step causing re-evaluation of results from another step. In its coarse filter approach to conservation biology (e.g., Jenkins 1985, Noss 1987), gap analysis relies on maps of dominant natural land...
CDF-FRAP compiled the "best available" land cover data into a single data layer, to support the various analyses required for the 2002 Forest and Range Assessment. Typically the most current and detailed data were collected for various regions of the state or for unique mapping efforts (farmland, wetlands, riparian vegetation). Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common California Wildlife Wabitat Relationships (CWHR) system classification. Data sources had unique scale/resolution, multi-source data provided as 100m GRID. The original 1/2002 data used to support the Asessment is...
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Acadia National Park,
ArcGIS Pro,
Arcpy,
Autoclassification,
Automation,
A vegetation classification was derived from a supervised classification of EOSAT Landsat Thematic Mapper (25 meter data from a scene recorded on June 30, 1994) for the Moxa Arch area of southwestern Wyoming. USGS 7.5 minute quadrangles covered by the vegetation map include: Church Butte, Church Butte NW, Cow Hollow Creek, Fontenelle, Fontenelle SE, Granger, McCullen Bluff, Moxa, Sevenmile Gulch, Shute Creek Lake,Verne, and Whisky Buttes. Spectral band ratioing of the Landsat Thematic Mapper was used to distinguish between the various vegetation types. In all, eleven types were distinguishable: low density sagebrush, high density sagebrush, greasewood/mixed shrub, saltbush/playa, playa/barren, riparian scrub/shrub,...
Categories: Data;
Types: Downloadable;
Tags: Moxa Arch,
Wyoming,
environment,
land cover,
landcover,
In general, we applied logistic regression model on 8,000 ± field sites, and used GIS models to map the probability of the presence of 12 Sagebrush species in Wyoming, which include: Low Sagebrush (Artemisia arbuscula ssp arbuscula), Plain Silver sagebrush (Artemisia cana ssp cana ), Mountain Silver sagebrush (Artemisia cana ssp viscidula), Fringed sage (Artemisia frigida), Early Sagebrush (Artemisia arbuscula ssp longiloba), Black sagebrush (Artemisia nova), Birds foot sage (Artemisia pedatifida), Mountain Big sagebrush (Artemisia tridentata ssp vaseyana), Basin Big sagebrush (Artemisia tridentata ssp tridentata), Wyoming Big Sagebrush (Artemisia tridentata ssp wyomingensis), Wyoming Three tip sagebrush (Artemisia...
One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. This simple analysis allowed us to map the potential risk of excess rainfall across the...
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