Skip to main content
Advanced Search

Filters: Tags: Land cover (X) > partyWithName: U.S. Geological Survey (X) > Types: Map Service (X)

16 results (14ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario Simulator) model to project a business as usual scenario of land cover and land use change. By running the LUCAS model on the USGS's YETI high performance computer and parallelizing the computation, we ran 100 Monte Carlo simulations based on empirically observed rates of change at a relatively fine scale (270m). We sampled from multiple observed rates of change at the county level to introduce heterogeneity into the Monte Carlo simulations. Using this approach allowed the model to project different outcomes that were summarized...
thumbnail
Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database 2001 land cover layer for mapping zones 01-66 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National...
thumbnail
In the drier, mid- and low-elevation portions of the Southern Rockies LCC, Fremont cottonwood represents the only native vegetation of tall stature, and cottonwood-dominated woodlands provide critical habitat for a large array of neotropical migratory birds and other animals. These woodlands likely dominated alluvial reaches of all streams where a snowmelt-driven spring flood was the major factor driving geomorphic and vegetation dynamics. These woodlands were also among the first habitats to undergo transformation as the regions land and water resources were developed.The PI coauthored a paper (Andersen et al. 2007) on assessing the amount of native Fremont cottonwood forest remaining on floodplains in 26 subbasins...
thumbnail
The ecotone (i.e., edge) between forested and non-forested environments can be a critical aspect of habitat. We grouped land cover types - ecological systems, human land use, and water - (subsequently referred to as map units) into forested, non-forested, and shrubland/woodland land cover types to create unique data layers. These data layers can then be buffered at specified distances to identify species' habitats. Aggregated map units can be compared and contrasted to identify areas of transition between these broad categories. They can also be used to identify core areas or contiguous blocks of similar type (i.e., interior) through buffering. This dataset was derived from the GAP National Land Cover data. Forested...
thumbnail
The Land Cover Data - Version 1.0 represents a highly thematically detailed land cover map of the U.S. The map legend includes types described by NatureServe's Ecological Systems Classification (Comer et al. 2002) as well as land use classes described in the National Land Cover Dataset 2001 (Homer et al. 2007). This version of the land cover data was used to support the Gap Analysis Project's vertebrate species modeling efforts. These data cover the entire continental U.S. and are a continuous data layer. These raster data have a 30 m x 30 m cell resolution. This land cover data set is considered official foundational data for the GAP species modeling process. The data have been made available provisionally to enhance...
thumbnail
In the desert southwest biodiversity is facing a changing landscape due to human population growth, expansion of energy development, and from the persistent effects of climate change among other threats. The 2012 Desert LCC science needs document recognized the importance of modeling and predicting habitat area, fragmentation and corridor network connectivity for a broad range of wildlife taxa. Tools and methods from conservation planning are available to address some of these issues, but tools to evaluate the expected benefits of corridors in mitigating climate change effects are only in their infancy. This USGS project will use quantitative spatial analysis and principles from landscape ecology to determine where...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). The success of NLCD over nearly two decades is credited to the continuing collaborative...
thumbnail
The ecotone (i.e., edge) between forested and non-forested environments can be a critical aspect of habitat. We grouped land cover types - ecological systems, human land use, and water - (subsequently referred to as map units) into forested, non-forested, and shrubland/woodland land cover types to create unique data layers. These data layers can then be buffered at specified distances to identify species' habitats. Aggregated map units can be compared and contrasted to identify areas of transition between these broad categories. They can also be used to identify core areas or contiguous blocks of similar type (i.e., interior) through buffering. This dataset was derived from the GAP National Land Cover data. Forested...
thumbnail
The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
thumbnail
This is a release of data presented in the report "Binational Study of the Transboundary San Pedro Aquifer", Callegary and others, 2016: Callegary, J.B., Minjárez Sosa, I., Tapia Villaseñor, E.M., dos Santos, P., Monreal Saavedra, R., Grijalva Noriega, F.J., Huth, A.K., Gray, F., Scott, C.A., Megdal, S.B., Oroz Ramos, L.A., Rangel Medina, M., Leenhouts, J.M., 2016, Binational Study of the Transboundary San Pedro Aquifer: International Boundary and Water Commission. The United States and Mexico share waters in a number of hydrological basins and aquifers that cross the International Boundary. Both the United States and Mexico recognize that, in a region of scarce water and expanding populations, better...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arizona, Koppen-Geiger Climate Classification, Land, Land cover, National Elevation Dataset, All tags...
thumbnail
This raster stack contains 15 probability layers representing the pixel-level predicted probability of membership in each species-specific vegetation class from 0 to 1. These probability layers can be used to generate class membership uncertainty maps or probabilistic class cover maps from the model outputs. They provide additional information beyond the discrete categorial land cover assignments.
thumbnail
The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
thumbnail
The base Land Cover data layer for the Commonwealth of Puerto Rico was produced by the International Institute of Tropical Forestry(IITF) and crosswalked to NLCD classes, with additional crop type modeling conducted by the National Oceanic and Atmospheric Administration (NOAA). This original base data layer is available at http://fsgeodata.fs.fed.us/rastergateway/ An additional link for the publication associated with this work is http://tropicalforestry.net/Members/ehelmer/caribbean-vegetation-and-land-cover The full reference for this work is Kennaway, T., and E. H. Helmer. 2007. The forest types and ages cleared for land development in Puerto Rico. GIScience and Remote Sensing 44:356-382. NLCD data layers are...
thumbnail
The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). Previously, NLCD consisted of three major data releases based on a 10-year cycle. These...
thumbnail
The National Land Cover Database 2001 Land Cover Version 2.0 layer produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current,...
thumbnail
Environments dominated by human disturbance such as roads, cities, and the constructed materials that support human habitation have profound effects on species. For most species, this data layer was used to exclude species from a portion of the landscape. However, some species respond favorably to human habitats, therefore this data layer was used in an inclusionary manner. The human impact avoidance dataset describes high exclusion/high inclusion proximity to urban environments, and roads. This dataset was derived from US Census TIGER/Line files and GAP’s National Land Cover Database developed by USGS, in particular the impervious dataset. These data are divided into 6 regions across the US (Northwest, Southwest,...


    map background search result map search result map 2010 Cropland Data Layer for the Great Plains Landscape Conservation Cooperative Land Cover Gap Analysis Project for the Great Plains Landscape Conservation Cooperative Land Cover 2001 Land Cover 2006, Northeast A GIS-Based Evaluation of Fremont Cottonwood Stand Dynamics in the SRLCC Corridors, Climate Change, and Conservation Planning in the Desert Southwest USGS Gap Analysis Project - Additional Data – Human Impact Avoidance USGS Gap Analysis Project - Additional Data – National Gap Land Cover Ver 1.0 (2001) USGS Gap Analysis Project - Additional Data - Forest Edge USGS Gap Analysis Project - Additional Data – Forest/Open + Woodland/Shrubland San Pedro River Aquifer Data Release - Transboundary Aquifer Assessment Program (TAAP) A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States National Land Cover Database (NLCD) 2001 - Puerto Rico High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Class Probability Stack High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Class Probability Stack San Pedro River Aquifer Data Release - Transboundary Aquifer Assessment Program (TAAP) National Land Cover Database (NLCD) 2001 - Puerto Rico National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States A GIS-Based Evaluation of Fremont Cottonwood Stand Dynamics in the SRLCC A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning Land Cover Gap Analysis Project for the Great Plains Landscape Conservation Cooperative 2010 Cropland Data Layer for the Great Plains Landscape Conservation Cooperative Land Cover 2001 Land Cover 2006, Northeast Corridors, Climate Change, and Conservation Planning in the Desert Southwest USGS Gap Analysis Project - Additional Data – Human Impact Avoidance USGS Gap Analysis Project - Additional Data – National Gap Land Cover Ver 1.0 (2001) USGS Gap Analysis Project - Additional Data - Forest Edge USGS Gap Analysis Project - Additional Data – Forest/Open + Woodland/Shrubland