3 edition of BOREAS forest cover data layers over the SSA-MSA in raster format found in the catalog.
BOREAS forest cover data layers over the SSA-MSA in raster format
by National Aeronautics and Space Administration, Goddard Space Flight Center, Available from NASA Center for AeroSpace Information in Greenbelt, Md, Hanover, MD
Written in English
|Statement||Jaime Nickeson, Fern Gruszka.|
|Series||Technical report series on the Boreal Ecosystem-Atmosphere Study (BOREAS) -- 113., NASA/TM -- 2000-209891, v. 113., NASA technical memorandum -- 209891.|
|Contributions||Gruszka, Fern., Goddard Space Flight Center.|
|The Physical Object|
Learn more about thematic and continuous data. While the structure of raster data is simple, it is exceptionally useful for a wide range of applications. Within a GIS, the uses of raster data fall under four main categories: Rasters as basemaps. A common use of raster data in a GIS is as a background display for other feature layers. creating statewide forest cover and forest fragmentation data layers. The approach was to use publicly avail-able orthophotography from the National Agriculture Imagery Program (NAIP). This provided better resolution for raster data layers, increased accuracy of forest cover analysis, and delineation of fragmented wildlife habitat.
Format: Supported data types: Supports multiband: Supports compression: Supports color map: ADRG: 8-bit unsigned integer: Yes (always three bands) No: No: ADRG Legend: 8-bit unsigned integer: Yes (always three bands) No: No: ADRG Overview: 8-bit unsigned integer: Yes (always three bands) No: No: ArcSDE Raster: 1- and 4-bit unsigned integer: Yes. BOREAS forest cover data layers over the SSA-MSA in raster format [microform]  Nickeson, Jaime. Greenbelt, Md.: National Aeronautics and Space Administration, Goddard Space Flight Center ; Hanover, MD: Available from NASA Center for AeroSpace Information, .
To view the raster dataset properties in ArcCatalog or the Catalog window, right-click the raster dataset and click Properties. In ArcMap, ArcGlobe, or ArcScene, right-click the raster dataset layer in the table of contents, click Properties, then click the Source tab. To view the metadata-related properties, click the Key Metadata tab. Now, I want to extract the land cover data only for the grassland (there are total 17 land classes, and grassland is coded as '11') Landcover1_values raster_landcover1, y = USA_county) But when I use getValues to extract the grassland.
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DAAC Home > Get Data > NASA Projects > Boreal Ecosystem-Atmosphere Study (BOREAS) > Landing page BOREAS Forest Cover Data Layers Over the SSA-MSA in Raster Format Spatial and Temporal CoverageCited by: 1. The BOREAS forest cover data layers over the SSA-MSA in raster format are available from the Earth Observing System Data and Information System (EOSDIS) Oak Ridge National Laboratory (ORNL.
This data set was prepared by BORIS staff by processing the original vector data into raster files. The original data were received as ARC/INFO coverages or as export files from SERM. The data include information on forest parameters for the BOREAS SSA MSA. The data. The original data were received as ARC/INFO coverages or as export files from SERM.
The data include information on forest parameters for the BOREAS SSA-MSA. Most of the data used for this product were acquired by BORIS in ; the maps were produced from aerial photography taken as recently as The data are stored in binary, image format files.
BOREAS Forest Cover Data Layers of the NSA-MSA in Raster Format BOREAS Forest Cover Data Layers of the SSA-MSA in Raster Format SERM Forest Fire Chronology of Saskatchewan in Vector Format excluded because they are over an area of agriculture.
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Data Set Identification BOREAS Forest Cover Data Layers over the SSA-MSA in Raster Format Data Set Introduction The forest cover data layers were created in raster form from the vector polygon forest cover data provided by Saskatchewan Environment and Resource Management, Forestry Branch -Inventory Unit (SERM-FBIU).
The Boreal Ecosystem-Atmosphere Study (BOREAS) was a large-scale international interdisciplinary experiment in the boreal forests of central Canada. Its focus was improving our understanding of the exchanges of radiative energy, sensible heat, water, CO2 and trace gases between the boreal forest and the lower atmosphere.
ORNL DAAC: This data set was prepared by the SERM-FBIU. The data include information on forest parameters and cover the area in and near the BOREAS Author: F.
Gruszka. Vector Topographic Map Data over the BOREAS NSA and SSA in SIF Format BOREAS Regional DEM in Raster Format and AEAC lead to the development of a deep dry planetary boundary layer over. SERM Forest Cover Data Layers of the SSA in Vector Format Summary: The forest cover data provided by Saskatchewan Environment and Resource Management, Forestry Branch - Inventory Unit (SERM-FBIU) are basically a digital version of itsscale forest cover polygon maps.
The data include information on forest parameters and cover the area in and near the BOREAS SSA. Get this from a library. BOREAS forest cover data layers over the SSA-MSA in raster format. [Jaime Nickeson; Fern Gruszka; Goddard Space Flight Center.].
Prince Albert National Park Forest Cover Data in Vector Format. (BOREAS) Southern Study Area (SSA) in vector form. BOREAS Forest Cover Data Layers over the SSA-MSA in Raster Format. Julie, I'm assuming this is a typical landcover layer. Here are the steps I use: 1) Make a layer of only forest, using the reclassify tool to make forest classes have a value of "1" and everything else a value of "NoData." 2) With the forest only layer, use the region group tool to make contiguous forest patches.
The resulting layer will have a value that means nothing (just a group number Reviews: 4. Related Data Sets BOREASForestCover Data Layers of the NSA in Raster Format BOREAS Elevation Contours over the NSA and SSA in ARC/Info Generate Format BOREAS HYD DEM Data over the NSA-MSA and SSA-MSA in the UTM Projection BOREAS Regional DEM in Raster Format and AEAC Projection Investigator Name and Title BOREAS Staff Science 2.
The BOREAS TE team collected several data sets for use in developing and testing models of forest ecosystem dynamics.
This data set contains vector layers of soil maps that were received from. BOREAS Forest Cover Data Layers Over the SSA-MSA in Raster Format: BOREAS_SSAFCOVR_ 1 BOREAS Forest Cover Layers of the NSA in Raster Format: BOREAS_NSAFCOVR_ 1 BOREAS HYD Soil Hydraulic Properties: BOREAS_H01_SHD_ 1 BOREAS HYD Under Canopy Precipitation Data: BOREAS_H01UNCPD_ Jaime NICKESON of Science Systems and Applications, Inc., Maryland (SSAI) | Read 94 publications | Contact Jaime NICKESON BOREAS Forest Cover Data Layers over the SSA-MSA in Raster Format Occupation: sr Support Scientist.
Land Cover Mapping with MERIS at the BOREAS Study Area Baoxin Hu 1, John R. Miller, Pablo Zarco-Tejada2, James Freemantle3, and Harold Zwick4 1Department of Earth and Atmospheric Science, York University, Keele Street, Toronto, On M3J 1P3, Canada. Emails: [email protected], [email protected] 2Grupo de Optica Atmosferica (GOA-UVA), Escuela Técnica Superior de.
Related Data Sets SERM Forest Cover Data Layers of the SSA in Vector Format BOREAS Forest Cover Data Layers over the SSA-MSA in Raster Format SERM Forest Cover Data of Saskatchewan in Vector Format SERM Forest Fire Chronology of Saskatchewan in Vector Format 2.
Investigator(s) Investigator(s) Name and Title Michael Fitzsimmons Senior. web_gateway/ comments: Aster file in Erdas: / - 0 "BOREAS FOREST COVER DATA LAYERS OVER THE SSA-MSA IN RASTER FORMAT", "BOREAS FOREST COVER LAYERS OF THE NSA IN RASTER FORMAT".The vector contours had a contour interval of 25 feet.
The data cover the BOREAS MSAs of the SSA and NSA and are given in a UTM map projection. Most of the elevation data from which the DEM was produced were collected in the s or s. The data are stored in binary, image format files.The dataset was created by modeling forest type from FIA plot data as a function of more than one hundred geospatially continuous predictor layers.
This process results in a view of forest type distribution in greater detail than is possible with the FIA plot data alone.