Filters: Tags: LAND COVER (X)
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Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. General land cover classes (i.e. water, urban, row crop) were included from the National Land Cover Dataset 2001 (). The minimum mapping unit for this dataset is 0.4 ha (1 acre). Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003; ). Two hundred fourteen (214) land cover classes (140 Ecological Systems, 32 modified classes, and 42 general land cover classes recognized as occurring in the 13 USGS mapping zones comprising the Southeast region were mapped. Land...
Tags: land cover,
vegetation mapping
This dataset represents terrestrial and wetland ecological systems of the Northeast (based on NatureServe's Ecological Systems Classifications) combined with human-modified land types such as roads and agriculture. This dataset was created by substantially modifying The Nature Conservancy's Northeast Terrestrial Wildlife Habitat Classification System (NETHCS) using these steps:-Replaced the National Land Cover Database (NLCD) 'roads' embedded in the NETHCS with more accurate roads and train lines that are distinguished from developed classes-Removed spurious development (mostly developed open space) from the edges of NLCD 'roads'-Replaced the single NETHCS open water class with National Wetlands Inventory (NWI)...
Four regional land cover datasets, of varying spatial and classification resolution, were used as the source data for the AKNHP land cover mosaic. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should...
The NHDPlus Version 1.0 is an integrated suite of application-ready geospatial data sets that incorporate many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,000-scale NHD), improved networking, naming, and "value-added attributes" (VAA's). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first broadly applied in New England, and thus dubbed "The New-England Method". This technique involves "burning-in" the 1:100,000-scale NHD and when available building "walls" using the national Watershed Boundary Dataset (WBD). The resulting modified...
The circumboreal vegetation mapping (CBVM) project is an international collaboration among vegetation scientists to create a new vegetation map of the boreal region at a 1:7.5 million scale with a common legend and mapping protocol (Talbot and Meades 2011). The map is intended to portray potential natural vegetation, or the vegetation that would exist in the absence of human or natural disturbance, rather than existing vegetation that is commonly generated at larger scales. This report and map contributes to the CBVM effort by developing maps of bioclimatic zones, geographic sectors with similar floristic variability, and vegetation in boreal Alaska, Yukon, northwestern British Columbia, and a mountainous portion...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
Conservation NGOs,
Data,
Federal resource managers,
Hunters & anglers,
Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
The geographic information system (GIS) format spatial data set of vegetation for Apostle Islands National Lakeshore (APIS) was created for the National Park Service (NPS) Vegetation Inventory Program (VIP). The APIS covers an area of approximately 28,972 ha (71,591 acres). The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification (NVC) Standard (Vr 2). Physiognomic information was also recorded, including height (woody vegetation), canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in 2004 and extensive field surveys....
This tabular data set represents the percent of land cover classes from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. These databases can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021)" databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 produced by the United States Geological...
This tabular data set represents the percent of land cover classes from the 2014 Crop land Data Layer compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "2014 Crop Land Data Layer" produced by the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS, 2015). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes...
Categories: Data;
Types: Citation;
Tags: CDL,
Catchment,
Conterminous United States,
Crop Land Data Layer,
CropScape,
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. These datasets consist of a workspace (folder) containing a collection of gridded datasets plus a personal geodatabase containing several vector datasets. These datasets are designed to be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools, allow users to delineate watersheds and compute several watershed characteristics....
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