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The Central Mojave Vegetation Map (mojveg.e00) displays vegetation and other land cover types in the eastern Mojave of California. Map labels represent alliances and groups of alliances as described by the National Vegetation Classification. The nominal minimum mapping unit is 5 hectares. Each map unit is labeled by a primary land cover type and a secondary type where applicable. In addition, the source of data for labeling each map unit is also identified in the attribute table for each map unit. Data were developed using field visits, 1:32,000 aerial photography, SPOT satellite imagery, and predictive modeling.
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The purpose of the plowprint is to track annual grassland conversion to cropland across the Mississippi River Basin and Great Plains region, and to provide a way to measure the loss of this important habitat type, against which annual changes can be compared. This report tracks changes at the sub-regional scale, as well as in the context of the broader geography, and highlights key elements of change each year. The focus of this report is on changes in grassland conversion from 2014-2015, based on data from the USDA National Agricultural Statistics Service Cropland Data Layer and the Agriculture and Agri-Food Canada Annual Crop Inventory. For this analysis, cropland is defined as any annually planted agricultural...
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El estado de Chihuahua es el más extenso de la República Mexicana, representa el 12.6% del territorio del país (INEGI, 2001) y posee una amplia gama de recursos naturales de los que se desprenden diversas actividades económicas (INEGI, 2003), por lo anterior resulta indispensable la disponibilidad de información eficiente de los recursos naturales que permita el manejo adecuado de los mismos. La ley forestal de nuestro país, señala que la evaluación de los recursos naturales debe integrar “información estadística y cartográfica”, que permita conocer la dinámica del cambio de vegetación forestal, para poder evaluar las tasas de deforestación y sus principales causas (CONAFOR, 2010). Actualmente la cartografía...
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The Cooperative Land Cover Map is a project to develop an improved statewide land cover map from existing sources and expert review of aerial photography. The project is directly tied to a goal of Florida's State Wildlife Action Plan (SWAP) to represent Florida's diverse habitats in a spatially-explicit manner. The Cooperative Land Cover Map integrates 3 primary data types: 1) 6 million acres are derived from local or site-specific data sources, primarily on existing conservation lands. Most of these sources have a ground-truth or local knowledge component. We collected land cover and vegetation data from 37 existing sources. Each dataset was evaluated for consistency and quality and assigned a confidence category...
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The Cooperative Land Cover Map is a project to develop an improved statewide land cover map from existing sources and expert review of aerial photography. The project is directly tied to a goal of Florida's State Wildlife Action Plan (SWAP) to represent Florida's diverse habitats in a spatially-explicit manner. The Cooperative Land Cover Map integrates 3 primary data types: 1) 6 million acres are derived from local or site-specific data sources, primarily on existing conservation lands. Most of these sources have a ground-truth or local knowledge component. We collected land cover and vegetation data from 37 existing sources. Each dataset was evaluated for consistency and quality and assigned a confidence category...
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The Northeast Ecological System dataset was last updated: 7/2014 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. Download includes Ecosystem Type, Macrogroup, and Formation, you do not need to download each individually.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 trains that are distinguished from developed classes -Removed...
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http://archive.ilmb.gov.bc.ca/cis/initiatives/ias/btm/index.htmlThis GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). The statewide analysis quantifies current connectivity patterns for Washington State and adjacent areas in British Columbia, Idaho, Oregon and a small portion of Montana. Available WHCWG raster data include model base layers,...
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Vegetation and land cover data for Upper Klamath NWR. This dataset is based on interpretation of 2014 near-infrared imagery produced by the National Aerial Imagery Program of the U.S. Department of Agriculture with input on the general vegetation composition provided by local refuge staff. Field data at the species level were not available and further work is needed to refine this product to meet the convention of the National Vegetation Classification System. In addition, no validation was performed on this dataset.
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The percent tree canopy layer quantifies per pixel tree canopy fraction as a continuous variable from 1 to 100 percent. The file is an 8 Bit continuous data file that will contain values from 0 to 255 when displayed in a software package. The value of '127' is a 'No Data' value applied to areas outside of the modeled percent tree canopy extent. This dataset was derived from the following source: - The Multi-Resolution Land Cover Consortium (MRLC) National Land Cover Dataset (NLCD), last updated in 2001. For more information on the MRLC visit: http://www.mrlc.gov/
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Projected land use/land cover for 2050. Spatial and temporal distributions of current and projected land-use and land-cover (LULC) changes are essential in modeling future potential carbon storage and fluxes within the nation's major ecological regions (Zhu and others, 2010). Annual raster-based maps of future LULC conditions for the years 2006 to 2100 were created based on historical LULC conditions combined with the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC-SRES) scenario elements to develop four distinct, equally plausible outcomes. The historical LULC baseline conditions were derived from 1.) a modified version of the 1992 National Land Cover Dataset (http://www.epa.gov/mrlc/nlcd.html),...
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Abstract To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the contiguous United States (CONUS), flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin mean elevation, slope, land cover class, latitude, and 30-year climatologies of mean total annual precipitation, minimum daily air temperature, and maximum daily air temperature. Additional datasets of upstream basin area and binary stream presence-absence are provided to help validate queries against the flow-conditioned data. These data are provided as virtual raster tile (vrt) mosaics of cloud optimized GeoTIFFs to allow point queries of the data (see Distribution Information)...
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This dataset represents the cumulative result of multi-season classification of land cover in the GCPO LCC geography to NatureServe Ecological Systems based on 2011 seasonal Landsat Satellite Imagery. The approach used a Random Forest algorithm and several dozen input data layers to classify land cover at a 30 m pixel resolution. The description below is taken directly from the report titled “Update of the Eastern GCPO Land Cover Database to 2011 Using a LS2SRC Approach”, by Dr. Qingmin Meng, Department of Geosciences, Mississippi State University.Random Forest classifier is based on the general decision tree approach, which has been a popular approach to multilevel and multistage decision making. Its basic idea...
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Metadata: synthmap08.zip, 69,967kB, 11 March 2008. Feature type: ArcGRID. Completeness of data: 100% of Nevada plus edges of adjacent states. Currency of data: various, up to winter 2007/08; updates are expected in the future. Scale at which data are believed to meet National Map Accuracy Standards: 1:100,000 in most areas. Key attributes: International Vegetation Classification (IVC) types at ecological system, alliance, and association levels, with additional fields indicating the IVC level, IVC code, and origin of the data. See the accompanying documentation on our Library page. An ArcGIS layer file is included for convenient display symbology. The data table is included as an Excel file as well.
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This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
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Historical land use/land cover for 2005. Spatial and temporal distributions of current and projected land-use and land-cover (LULC) changes are essential in modeling future potential carbon storage and fluxes within the nation's major ecological regions (Zhu and others, 2010). Annual raster-based maps of future LULC conditions for the years 2006 to 2100 were created based on historical LULC conditions combined with the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC-SRES) scenario elements to develop four distinct, equally plausible outcomes. The historical LULC baseline conditions were derived from 1.) a modified version of the 1992 National Land Cover Dataset (http://www.epa.gov/mrlc/nlcd.html),...
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The REA estimates the condition of 14.2 million acres of land in southern New Mexico. It is based on states described in “ecological site descriptions” (ESDs) and expert knowledge. ESDs have been developed by the Natural Resource Conservation Service, and they are a consistent, science and expert-based resource increasingly used by land managers. It focuses on public rangelands - grasslands, shrublands, and savannas - managed by the Bureau of Land Management, and includes some other lands as well. The REA compares current condition to the expected or “reference” condition, and summarizes the vegetation, ecological processes and restorative management options of these states. Depending on these management options...
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How well are we protecting common plants and animals? Gap Analysis is the science of answering this question. Developing the data and tools to support that science is the mission of the USGS Gap Analysis Program (GAP). GAP works to ensure that common species – those that are not officially endangered – remain common by identifying those species and plant communities that are not adequately represented in existing conservation lands. Learn more about Gap Analysis >> We work with a wide range of government, academic, non-profit and private partners, providing them with essential data and analyses that they can use to protect the habitats on which the survival of common species depends.
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Vegetation map of Alaska, 23 classes, 19 vegetated, raster format. The classification was developed by Michael Fleming using the phenology of a vegetation index collected during the 1991 growing season
map background search result map search result map Statewide Vegetation/Land Cover (AVHRR/NDVI) 1992 Washington Connected Transboundary Land Cover Dataset Percent Canopy Cover Relative sediment delivery at the mouth of rivers in the Gulf of Mexico Central Mojave Vegetation Map New Mexico Rangeland Ecological Assessment (REA) Landfire v.1.2.0 - Environmental Site Potential (MRB) Land Cover and Vegetation data for Upper Klamath National Wildlife Refuge Land Use/Land Cover: Projected 2005 Land Use/Land Cover: Projected 2050 Landcover Ecological Systems Classification 2011 Update for the Eastern GCPO LCC Geography A Synthesis of Vegetation Maps for Nevada Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua Ecological Systems Model, New York State National Gap Analysis Program (GAP) CLC_V3_2_STATE The Great Plains PlowPrint CLC Cooperative Land Cover Version 3.4 Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset Land Cover and Vegetation data for Upper Klamath National Wildlife Refuge Central Mojave Vegetation Map New Mexico Rangeland Ecological Assessment (REA) Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua A Synthesis of Vegetation Maps for Nevada CLC_V3_2_STATE CLC Cooperative Land Cover Version 3.4 Landcover Land Use/Land Cover: Projected 2005 Land Use/Land Cover: Projected 2050 Ecological Systems Model, New York State Ecological Systems Classification 2011 Update for the Eastern GCPO LCC Geography Washington Connected Transboundary Land Cover Dataset Percent Canopy Cover Statewide Vegetation/Land Cover (AVHRR/NDVI) 1992 Landfire v.1.2.0 - Environmental Site Potential (MRB) Relative sediment delivery at the mouth of rivers in the Gulf of Mexico The Great Plains PlowPrint Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset National Gap Analysis Program (GAP)