Filters: Tags: landcover (X)
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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...
Service Description: This map service presents spatial information about the Coastal Change Analysis Program (C-CAP) land cover data in the Web Mercator projection. The service was developed as part of the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center’s C-CAP Land Cover Atlas. NOAA provides the information “as-is” and shall incur no responsibility or liability as to the completeness or accuracy of this information. NOAA assumes no responsibility arising from the use of this information. For additional information, please contact the NOAA Coastal Services Center (http://csc.noaa.gov/contact/contactform.htm). The raster spatial data layers represent 30-meter spatial resolution C-CAP...
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,
Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform, aspect, etc.) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept, with 109 of the 125 total classes mapped at the system level. For the majority of classes, a decision tree classifier was used to discriminate landcover types, while a minority of classes (e.g. urban classes, sand dunes, burn scars, etc.) were mapped using other techniques. Twenty mapping areas, each characterized by similar ecological and spectral characteristics,...
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 also available...
Tags: landcover,
north coast
Landuse/cover layer of Papagni river basin, the project area of Foundation for Ecological Security. Prepared by FES from three seasons satellite imageries of IRS 1C, 1998-99. http://www.fes.org.in Downloaded from India Biodiversity Portal on January 17th, 2013.
NatureServe and its natural heritage program members, have completed a working classification of terrestrial ecological systems in the conterminous United States, southern Alaska, and adjacent portions of Mexico and Canada. NatureServe has developed two, inter-related terrestrial classifications, the International Vegetation Classification (IVC), which provides a hierarchical ordering of vegetation around the globe, from broad formations or biomes to fine scale alliances and associations, and the International Terrestrial Ecological Systems Classification, which provides a single, mid-scale level unit suitable for classification and mapping of ecosystems at a scale relevant to many conservation and resource...
Tags: Natureserve,
landcover
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...
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. Here we provide two rasters of excess rainfall for current (2002-2012) and future (2090-2099)...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Shift,
Ecohydrology,
Hawai’i,
Infiltration,
Landcover,
The landscape of the Southern Rockies Landscape Conservation Cooperative (SRLCC) is diverse with mountain peaks over 14,000 feet in the Rocky Mountains to the basement of one of the largest gorges in the world, the Grand Canyon. Variation at this scale lends to a terrestrial composition as varied as its topography. According to the latest dataset used, shrub\scrub and evergreen forest land cover types dominate. Anthropogenic development classified as either urban or agriculture cover only a small portion of the SRLCC. Alterations of the landscape are monopolized by shrub\scrub and forest land covers, but are less significant when compared with their total area across the landscape. The National Land Cover Database...
The Interagency Vegetation Mapping Project (IVMP) provides maps of existing vegetation, canopy cover, size, and cover type for the entire range of the Northern Spotted Owl using satellite imagery from the Landsat Thematic Mapper (TM). This area is commonly called the FEMAT area, in reference to the area's analysis by the Forest Ecosystem Management Assessment Team. A regression modeling approach was used to predict vegetation characteristics from this Landsat data. This process involved the use of numerous sources of ancillary data, the most crucial being USFS, BLM, and Forest Inventory and Analysis (FIA) plot field data and plot photo interpreted information. This data served as training data in the regression...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: BLM,
Bureau of Land Management,
FEMAT,
FIA,
Forest inventory and analysis,
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....
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: LA,
Landcover,
Landuse,
Louisiana,
coastal Louisiana,
This dataset represents vegetation and landcover for Ruby Lake NWR. It was produced by the U.S. Fish and Wildlife Service, with field data collection provided by the University of Nevada, Reno. The process was iterative and took place over two calendar years and two field seasons. Additional data points were acquired in order to validate the map product and to develop a product that met a minimal accuracy level of 80%. The final classification is based on 2013 National Agricultural Imagery Program (NAIP) orthophotography, produced by the U.S. Department of Agriculture but additional datasets were also utilized, including a digital elevation model. The classification methodology uses a hybrid approach of pixel-based...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Nevada,
Ruby Lake NWR,
USFWS,
landcover
This layer represents land cover classes mapped within the Modoc Wildlife Refuge. Mapping was completed using a combination of field data, object-based image analysis using Feature Analyst, and photo interpretation. Source data included 2005 CIR NAIP digital aerial photography, and Modoc National Wildlife Refuge data layers. Field data was collected by USFWS staff in May and June of 2007.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Modoc NWR,
USFWS,
Wetland,
habitat,
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