3 datasets found
  1. o

    Data from: Critical factors affecting the desertification in Pa Deng,...

    • data.opendevelopmentmekong.net
    Updated Jun 29, 2015
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    (2015). Critical factors affecting the desertification in Pa Deng, adjoining area of Kaeng Krachan National Park, Thailand [Dataset]. https://data.opendevelopmentmekong.net/dataset/critical-factors-affecting-the-desertification-in-pa-deng-adjoining-area-of-kaeng-krachan-national-
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    Dataset updated
    Jun 29, 2015
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Kaeng Krachan District, Thailand
    Description

    The aim of this study is to discuss and analyze key factors that affect the desertification in Pa Deng Sub-district, Thailand, in order to assess the desertification risk of the sites. The MEDALUS Model was used to conduct the desertification risk assessment. The spatial analysis study was done with Geographic Information System (GIS) and Remote Sensing (RS) programs. The key factors that had an impact on the desertification in Pa Deng area are climatic factor, soil factors (soil texture, fertility and erosion) and human activity factor (land use). The results revealed that the majority of the plain area in Pa Deng was at moderate desertification risk. The critical factor that increased the risk of decertification was soil erosion.

  2. R10-AK-Kenai-TreeSizePopUp

    • agdatacommons.nal.usda.gov
    bin
    Updated Oct 1, 2024
    + more versions
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    U.S. Forest Service (2024). R10-AK-Kenai-TreeSizePopUp [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/R10-AK-Kenai-TreeSizePopUp/25972336
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    binAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Kenai
    Description

    Terrain-related imagery are primarily derived from Lidar, stereoscopic aerial imagery, or Interferometric Synthetic Aperture Radar datasets. Consequently, these derivatives inherit the limitations and uncertainties of the parent sensor and platform and the processing techniques used to produce the imagery. The terrain images are orthographic; they have been georeferenced and displacement due to sensor orientation and topography have been removed, producing data that combines the characteristics of an image with the geometric qualities of a map. The orthographic images show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial or satellite imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoServiceFor complete information, please visit https://data.gov.

  3. R10-AK-KenaiNF-TallShrubCanopyPopUp

    • agdatacommons.nal.usda.gov
    bin
    Updated Oct 1, 2024
    + more versions
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    U.S. Forest Service (2024). R10-AK-KenaiNF-TallShrubCanopyPopUp [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/R10-AK-KenaiNF-TallShrubCanopyPopUp/25972798
    Explore at:
    binAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Terrain-related imagery are primarily derived from Lidar, stereoscopic aerial imagery, or Interferometric Synthetic Aperture Radar datasets. Consequently, these derivatives inherit the limitations and uncertainties of the parent sensor and platform and the processing techniques used to produce the imagery. The terrain images are orthographic; they have been georeferenced and displacement due to sensor orientation and topography have been removed, producing data that combines the characteristics of an image with the geometric qualities of a map. The orthographic images show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial or satellite imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoServiceFor complete information, please visit https://data.gov.

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Share
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Click to copy link
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Close
Cite
(2015). Critical factors affecting the desertification in Pa Deng, adjoining area of Kaeng Krachan National Park, Thailand [Dataset]. https://data.opendevelopmentmekong.net/dataset/critical-factors-affecting-the-desertification-in-pa-deng-adjoining-area-of-kaeng-krachan-national-

Data from: Critical factors affecting the desertification in Pa Deng, adjoining area of Kaeng Krachan National Park, Thailand

Related Article
Explore at:
Dataset updated
Jun 29, 2015
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Kaeng Krachan District, Thailand
Description

The aim of this study is to discuss and analyze key factors that affect the desertification in Pa Deng Sub-district, Thailand, in order to assess the desertification risk of the sites. The MEDALUS Model was used to conduct the desertification risk assessment. The spatial analysis study was done with Geographic Information System (GIS) and Remote Sensing (RS) programs. The key factors that had an impact on the desertification in Pa Deng area are climatic factor, soil factors (soil texture, fertility and erosion) and human activity factor (land use). The results revealed that the majority of the plain area in Pa Deng was at moderate desertification risk. The critical factor that increased the risk of decertification was soil erosion.

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