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A species has been applied to each hectare based on the 6 species fields in the raw data and the percentage of each species within a given polygon. For example a hectare which is 75% Pine and 25% Cedar has a 25% chance of being flagged as ''Cedar'' and 75% chance of being flagged as ''Pine''. A code describing the commercial species or brush species in the layer. Species must be above a specified diameter to be recognized in the species composition of the layer. Leading species are described in terms of Genus, Species and Subspecies. There are currently 27 commercial tree species and five genus values recognized in the Province. The code may also used to describe brush species in cases where the Non-Productive Descriptor...
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas. Little's tree extent maps can be found in the Data Basin gallery here: http://app.databasin.org/app/pages/galleryPage.jsp?id=5e449f3c91304f498a96299a9d5460a3
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This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. To more precisely identify areas where native species may presently be found, a map was generated that considers the following three categories of habitat quality: High, areas dominated by native vegetation; Medium, areas dominated by nonnative vegetation; and Low, highly modified landscapes. The primary source for mapping these three categories is the HIGAP land-cover classification (Gon, 2006). The High category includes all HIGAP land-cover classes that are considered to be either native dominated or mixed native and nonnative in order to represent those areas that have substantial native-species composition....
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GCP LCC Focal Habitats created from the Texas Ecological Systems Map
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Vegetation and land cover of Blue Ridge National Wildlife Refuge, circa 2011. This dataset is based on interpretation of aerial imagery from the National Agricultural Imagery Program from 2010. Image classification was performed using eCognition software, which creates homogeneous polygons from the imagery. Image statistics such as texture, NDVI and spectral values were then calculated for each polygon used to classify the imagery. Field data was collected in August, 2011 to assist in the image interpretation. No additional field data were collected for validation, and no validation or accuracy assessment was completed for this dataset. Therefore, no estimates of accuracy are given.
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This map of North American land cover at a spatial resolution of 250 meters provides a harmonized view of the physical cover of Earth's surface across the continent. Nineteen land cover classes were defined using the Land Cover Classification System (LCCS) standard developed by the Food and Agriculture Organization (FAO) of United Nations. The land cover map is the first in a series of maps produced by the North American Land Change Monitoring System (NALCMS). NALCMS is a collaborative initiative between Canada, Mexico, and the United States to monitor land cover and its change over time. The NALCMS product displayed in this map represents land cover based on monthly composites of 2005 Moderate Resolution Imaging...
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These layers show the relative abundance of native, non-native and tree cover types as mapped for the Colorado River Conservation Planning Project. Relative abundance (Dominant, Common, Mapped by Sparse and Not Mapped) is determined by the listing of cover types per patch.
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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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This dataset depicts vegetation and land cover for Klamath Marsh NWR. It was created using eCognition software and multiple sources of imagery. Field data were also collected at two different time to assist with image interpretation/classification. Details: This dataset was created by interpreting and classifying multiple image sources. These include: July 2005 2.5 meter Quickbird multispectral imagery, July 2005 ASTER 15 meter multispectral imagery, July 2006 Landsat 30 meter multispectral imagery, and December 2005 ASTER 15 meter multispectral imagery. Images were loaded into eCognition software which created polygons based on areas with similar image features. Statistics were then created for each polygon based...
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As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area. As part of this data synthesis effort, hydrodynamic and sediment transport...
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Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure...
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This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
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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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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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Vegetation and land cover dataset for Clear Lake NWR. This dataset was created through interpretation of National Agricultural Imagery Program photography from 2014 and 2012. Specifically, 2012 was used as the base year because it is more representative of the "normal" condition than 2014. In 2014 the refuge and region were in the midst of the worst droughts in history and water levels had fallen to record low levels. Interpretation was informed by a field visit in the fall of 2014 and also through consultation with field staff. Additionally, data in the Peninsula unit were improved with field sampled results from the summer of 2010. Because extensive field sampling was not conducted for the entire refuge and no...
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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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This dataset was created in order to facilitate transboundary conservation work and research projects, by integrating land cover maps into a single dataset from Cape Caution, BC, to Yakutat Bay, AK. It includes three levels of land classification, site index, elevation, hydric soils (yes/no), karst (yes/no), primary and secondary species, size class, and volume class. It also includes a number of other important attributes from individual datasets, which were not crosswalked between the different areas. These data, originally published here , were converted to ArcGIS Raster files by the NPLCC (North Pacific Landscape Conservation Cooperative) for publication as map services on ScienceBase.


map background search result map search result map Commission for Environmental Cooperation (CEC) North American Land Cover Map, 2005 Pacific yew (Taxus brevifolia) extent, North America Tree species from the Vegetation Resource Inventory for the North Pacific Landscape Conservation Cooperative, British Columbia, Canada Transboundary Land Classification Level 1 Raster GPC LCC Focal Habitats - Texas Ecological Systems Map (TX only) Native, Non-native and Tree Abundance Central Mojave Vegetation Map Vegetation and Land Cover, Blue Ridge National Wildlife Refuge Vegetation and Land Cover for Clear Lake National Wildlife Refuge Hawaii Habitat Quality (HI_HabQual) Vegetation and Land cover, Klamath Marsh National Wildlife Refuge, 2007 Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua CLC_V3_2_STATE Exposure potential of saltmarsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors (polygon shapefile) Change in salinity exposure of salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey during Hurricane Sandy Hawaiian Islands Coastal Vegetation Survey 2013-2015 Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Landfire ESP CLC Cooperative Land Cover Version 3.4 Vegetation and Land Cover, Blue Ridge National Wildlife Refuge Vegetation and Land Cover for Clear Lake National Wildlife Refuge Vegetation and Land cover, Klamath Marsh National Wildlife Refuge, 2007 Change in salinity exposure of salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey during Hurricane Sandy Exposure potential of saltmarsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors (polygon shapefile) Native, Non-native and Tree Abundance Central Mojave Vegetation Map Hawaiian Islands Coastal Vegetation Survey 2013-2015 Hawaii Habitat Quality (HI_HabQual) Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. CLC_V3_2_STATE CLC Cooperative Land Cover Version 3.4 GPC LCC Focal Habitats - Texas Ecological Systems Map (TX only) Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Transboundary Land Classification Level 1 Raster Pacific yew (Taxus brevifolia) extent, North America Tree species from the Vegetation Resource Inventory for the North Pacific Landscape Conservation Cooperative, British Columbia, Canada Landfire ESP Commission for Environmental Cooperation (CEC) North American Land Cover Map, 2005