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The US Geological Survey Chesapeake Bay Watershed Land Cover Data Series, 2011 edition, (CBLCD-e11) consists of Level I Land Cover data for the years 1984, 1992, 2001, 2006 and 2011. It consists of a series of five 8-bit unsigned integer raster data files of 30 meter spatial resolution in Albers Conic Equal Area projection, NAD83 datum. The 1984 – 2006 data layers were created by aggregating most Level II Anderson classes of the USGS CBLCD Land Cover Data Series released in 2010 (Irani and Claggett, 2010).
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This raster dataset depicts percent canopy cover derived from 1-m conifer classifications when aggregated to 30-m cells. Conifer features were classified from 2010, 2012, and 2013 NAIP Digital Ortho Quarter Quads (DOQQ) using the Feature Analyst 5.0 extension for ArcGIS 10.1. Tiles were organized and grouped by Nevada Department of Wildlife Population Management Unit (PMU) locations, plus a 10 km area beyond the PMU extent. Analysts visually identified conifers in the imagery using false color infrared settings and digitized multiple trees per tile as training locations for classification. After performing hierarchical learning and clutter removal with Feature Analyst to remove non-conifer features on output shapefiles,...
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The national dataset was clipped to the WLCI envelope by USGS staff. No other processing was performed on the dataset. This map layer is commonly called Bailey's ecoregions and shows ecosystems of regional extent in the United States, Puerto Rico, and the U.S. Virgin Islands. Four levels of detail are included to show a hierarchy of ecosystems. The largest ecosystems are domains, which are groups of related climates and which are differentiated based on precipitation and temperature. Divisions represent the climates within domains and are differentiated based on precipitation levels and patterns as well as temperature. Divisions are subdivided into provinces, which are differentiated based on vegetation or other...
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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...
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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...
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The Desert Renewable Energy Conservation Plan (DRECP), a major component of California's renewable energy planning efforts, will help provide effective protection and conservation of desert ecosystems while allowing for the appropriate development of renewable energy projects. The DRECP is focused on the desert regions and adjacent lands of seven California counties - Imperial, Inyo, Kern, Los Angeles, Riverside, San Bernardino, and San Diego. It is being prepared through an unprecedented collaborative effort between the California Energy Commission, California Department of Fish and Wildlife, the U.S. Bureau of Land Management, and the U.S. Fish and Wildlife Service also known as the Renewable Energy Action Team....
What are current conditions for important park natural resources? What are the critical data and knowledge gaps? What are some of the factors that are influencing park resource conditions? Natural Resource Condition Assessments (NRCAs) evaluate and report on the above for a subset of important natural resources in national park units (hereafter, parks). Focal study resources and indicators are selected on a park-by-park basis, guided by use of structured resource assessment and reporting frameworks. Considerations include park resource setting and enabling legislation (what are this park's most important natural resources?) and presently available data and expertise (what can be evaluated at this time?). In addition...
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MC1 is a widely used dynamic global vegetation model (DGVM) that has been used to simulate potential vegetation shifts in California and Alaska, all of North America, and over the entire globe under various climate change scenarios. However, past simulations were run at a scale that is too coarse (e.g., 10km x 10km for the California simulations) for use by local resource managers, such as those in Yosemite National Park ( see Data Basin feature on Yosemite results ). More recently, the model has been implemented at a finer resolution (800m x 800m) of greater utility to National Park staff. MC1 is a model that simulates vegetation types, ecosystem fluxes of carbon, nitrogen, and water, as well as wildfire occurrence...
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El Espacio Digital Geográfico (ESDIG) de la SEMARNAT, muestra en mapas información sobre las características ambientales y sociales del país en temas como vegetación, uso del suelo, cuerpos de agua, suelos, clima, población, entre otros, así como de los resultados de programas ambientales y sociales dedicados al aprovechamiento, conservación y recuperación de los ecosistemas naturales de México. Los mapas desplegados son extraídos de la base de datos geográfica del SNIARN. La información contenida en ésta base ha sido generada por diferentes áreas de la Semarnat, sus órganos desconcentrados y descentralizados, así como también por el INEGI y diversas dependencias del Gobierno Federal.
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Vegetation and land-cover changes are not always directional but follow complex trajectories over space and time, driven by changing anthropogenic and abiotic conditions. We present a multi-observational approach to land-change analysis that addresses the complex geographic and temporal variability of vegetation changes related to climate and land use. Using land-ownership data as a proxy for land-use practices, multitemporal land-cover maps, and repeat photography dating to the late 19th century, we examine changing spatial and temporal distributions of two vegetation types with high conservation value in the southwestern United States: grasslands and riparian vegetation. In contrast to many reported vegetation...
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Final Report - Executive Summary: This final project report is prepared to summarize the research project titled “Assessing evapotranspiration rate changes for proposed restoration of the forested uplands of the Desert Landscape Conservation Cooperatives (LCC)” for the Desert LCC of the Bureau of Reclamation as a requirement for closing out the project. This report includes the scope of work, summary of research project, results, and conclusions.Among all of the components of the terrestrial water cycle, evapotranspiration (ET) consumes the largest amount of water. Accurate estimation of ET is very important to understand the influence of ET to the hydrologic response of recharge and runoff processes in the water...
Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, ATMOSPHERE, ATMOSPHERE, ATMOSPHERIC WATER VAPOR, ATMOSPHERIC WATER VAPOR, All tags...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) is in the process of creating high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:24,000-scale color infrared aerial photos collected in 2000. The photos are being interpreted using a 1-hectare 10% minimum vegetation cover to delineate land cover/land use, percent vegetation cover, tree height, and hydrology regime. The geographic extent of the UMRS is the Mississippi River from Cairo, IL to Minneapolis, MN and the Illinois River from its confluence with the Mississippi near Grafton, IL to Lake Michigan.
Aerial photographs for Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial photographs for Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. All CIR aerial photos were orthorectified, mosaicked, compressed, and served via the UMESC Internet site. The CIR aerial photos were interpreted and automated using a 31-class LTRMP vegetation classification. The 2010/11 LCU databases were prepared by or under the supervision...
Aerial photographs for Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial photographs for Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. All CIR aerial photos were orthorectified, mosaicked, compressed, and served via the UMESC Internet site. The CIR aerial photos were interpreted and automated using a 31-class LTRMP vegetation classification. The 2010/11 LCU databases were prepared by or under the supervision...
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A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The features were derived from a digital contour database obtained from https://topotools.cr.usgs.gov/contour_data.php. The original contour dataset was generated from the National Elevation Dataset (NED) and the National Hydrography Dataset (NHD) in a fully automated process. The process is described in U.S. Geological Survey Scientific Investigations Report 2012–5167.
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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...
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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The Integrated Ecosystem Model is designed to help resource managers understand the nature and expected rate of landscape change. Maps and other products generated by the IEM will illustrate how arctic and boreal landscapes are expected to alter due to climate-driven changes to vegetation, disturbance, hydrology, and permafrost. The products will also provide resource managers with an understanding of the uncertainty in the expected outcomes.


map background search result map search result map Baileys Ecoregions, restricted to original WLCI boundary (effective 2007-May 2009) UMRS LTRMP 2010/11 LCU Mapping -- Illinois River Marseillies Reach UMRS LTRMP 2010/11 LCU Mapping -- Mississippi River Navigation Pool 13 2000 UMRS Land Cover Land Use--Pool 08 Desert Renewable Energy Conservation Plan Natural Resource Condition Assessments MC1 Dynamic Global Vegetation Model Historical and Contemporary Geographic Data Reveal Complex Spatial and Temporal Responses of Vegetation to Climate and Land Stewardship Espacio Digital Geográfico (ESDIG) Chesapeake Bay Watershed 2011 Edition Land Cover Data Release Circumboreal Vegetation Map for Northwest Canada and Alaska Percent canopy cover of conifers within Nevada and northeastern California sage-grouse habitat (2017) Report and Publications: Assessing Evapotranspiration Rate Changes for Proposed Restoration of the Forested Uplands of the DLCC IEM-CSC Factsheet with Supplement, 2015 Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning Historical Stand Age 1910-1919 Digital Contour Database of Closed Depressions National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States 2000 UMRS Land Cover Land Use--Pool 08 UMRS LTRMP 2010/11 LCU Mapping -- Illinois River Marseillies Reach Historical and Contemporary Geographic Data Reveal Complex Spatial and Temporal Responses of Vegetation to Climate and Land Stewardship UMRS LTRMP 2010/11 LCU Mapping -- Mississippi River Navigation Pool 13 Desert Renewable Energy Conservation Plan Baileys Ecoregions, restricted to original WLCI boundary (effective 2007-May 2009) Digital Contour Database of Closed Depressions National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States Report and Publications: Assessing Evapotranspiration Rate Changes for Proposed Restoration of the Forested Uplands of the DLCC Percent canopy cover of conifers within Nevada and northeastern California sage-grouse habitat (2017) Chesapeake Bay Watershed 2011 Edition Land Cover Data Release A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning MC1 Dynamic Global Vegetation Model Espacio Digital Geográfico (ESDIG) IEM-CSC Factsheet with Supplement, 2015 Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919 Circumboreal Vegetation Map for Northwest Canada and Alaska Natural Resource Condition Assessments