The USDA Forest Service Geodata Clearinghouse is an online collection of digital data related to forest resources. Free GIS Data – Land Cover and Land Use. The data estimates the percent of tree canopy found in each 30 meter pixel derived from Landsat satellite images.
The NFI provides an extensive and unique record of key information about our forests and woodlands. Canadian Open Data and Free Geospatial Data Resources: Almost anyone in the geospatial community would agree that a major part of any GIS project would be the data sets involved.The data can be in the form of vectors, rasters, aerial photography or statistical tabular data and most often the data component can be very costly or labor intensive.
Steward organizations for many of the datasets are listed after the dataset in parentheses, and include the California Dept. Use of geospatial information is crucial for solving various issues around the world including global environmental problems. Vegetation Datasets (GIS) Many of the vegetation datasets have been cooperatively produced, but will have stewards responsible for the maintenance and updating of the data. In combination with the Cultivation Intensity dataset, it may be used to calculate land cover. Use 7zip or another compression program to open these files. The National Forest Inventory (NFI) programme monitors woodland and trees within Great Britain. A Green Infrastructure map of Prince William county, VA was developed to provide quantification of canopy and associated data for environmental monitoring. The layer can be used to show areas of tree canopy in maps and can serve as a basis for calculating areas of tree cover impacted by development.
For land cover mapping, explanatory variables are the spectral and ancillary data sets and the response variable is the land cover classes (see Lowry et al. The 2001 National Land Cover Data (NLCD) program includes an estimate of tree canopy density for the entire United States.
2005 for more information on CART modeling techniques). Encoded as a percentage per output grid cell, in the range 0–100. SoilGrids1km - soil property and class maps SoilGrids1km is a collection of updatable soil property and class maps of the world at a resolution of 1 km produced using state-of-the-art model-based statistical methods.
Global forest cover loss 2000–2014 (loss) Forest loss during the period 2000–2014, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Global Land Cover Datasets Vegetation This page provides access to and describes the GISS dataset "Global Distribution of Vegetation at 1 ×1 Resolution", which distinguishes 32 vegetation types. Data from the World Resources Institute includes: percentage tree-cover, population density and tree cover, share of wood in fuel consumption, etc. Vegetation Datasets (GIS) Many of the vegetation datasets have been cooperatively produced, but will have stewards responsible for the maintenance and updating of the data. State and Private Forestry; Wilderness & WSR & WSA; Research and Development ; Puerto Rico Gap Analysis Project; Site maintained by: Geospatial Technology and Applications Center 125 South State Street Suite 7105 Salt Lake City, UT 84138 Need help? Tree Canopy Cover; Special Purpose FS Data. The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. Land Cover (GLCNMO): ver1, ver2, ver3 Vegetation (Percent Tree Cover): ver1, ver2 Global Map Metadata Global Map Specifications Global Mapping Newsletters About Global Map data Available Data Sets National/Regional version From the report, “From a Church Street shade tree in Franklin Square to a core forest patch in Pennypack park, every tree in the city was accounted for.“ By extracting data from LiDAR and aerial imagery, analysts were able to create high resolution land cover and tree canopy GIS datasets. Download Land Cover Data. The data estimates the percent of tree canopy found in each 30 meter pixel derived from Landsat satellite images.
Land Cover and Land Use Data. By extracting data from LiDAR and aerial imagery, analysts were able to create high resolution land cover and tree canopy GIS datasets.
Data from a variety of sources was obtained for this enormous tree mapping endeavor which include SRTM data, National Land Cover Database, and over 5 million trees from the US Forest Service’s Forest Inventory and Analysis program: This forest change analysis tool evaluates the total tree cover loss and number of active fires within the selected area of interest, and shows the results according to the various land cover classes.
The data show the ratio of the area covered with branches and leaves of trees (tree canopy) to the ground surface seen from the above (vertical direction). The Woody Vegetation features were selected and copied into a seperate stand alone dataset for tree cover. To compile the data, the 48 states were divided into 66 mapping zones. << Back to Land Cover Data Overview: Data and Tools. USGS Land Cover Institute: Great set of links to almost all land cover datasets.Links here include most of the datasets below, and many more esoteric data such as river observations, aquifers data and ocean colour information. Canopy Data | GIS Data | Downloadable Maps .
The polygons represent areas of tree canopy derived from classification of Worldview-2 satellite imagery. Satellite images of the whole globe from the MODIS sensor of Terra were used for the data …
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