Tanintharyi Region Land Cover (Improved)

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Geotiff download link: http://bit.ly/2ToMIjL This dataset is the result of a land cover analysis for Myanmar's Tanintharyi Region based...
1 Dataset

  • Tanintharyi Region Land Cover (Improved) shapefileSHP
    Modified: 13 December 2016

    Zipped Shapefile. Geotiff download link: http://bit.ly/2ToMIjL

    This dataset is the result of a land cover analysis for Myanmar's Tanintharyi Region based on March, 2016 Landsat 8 OLI imagery. The primary purpose of the study was to map natural forest for each of four ecological forest types (Mangrove, Mixed Deciduous, Lowland Evergreen, Upland Evergreen). A number of other land use/land cover types are also included in the dataset, including human settlement areas, rice paddyfields, and agroforestry plantations. This dataset is a REVISED version of the land cover map generated according to the methodology outlined in the corresponding manuscript (see below for citation). This version has been manually edited to fill cloud holes using 2015 data and to fix a number of obvious mis-classifications, particularly for oil palm and settlement areas. [Citation: Connette, G., P. Oswald, M. Songer, and P. Leimgruber. 2016. Mapping distinct forest types improves overall forest identification based on multi-spectral Landsat imagery. Remote Sensing 8: 882.] [Spatial reference: WGS84 UTM47N]

  • Tanintharyi Region Land Cover (Improved) geojsonGeoJSON
    Modified: 13 December 2016

    GeoJSON file. Geotiff download link: http://bit.ly/2ToMIjL

    This dataset is the result of a land cover analysis for Myanmar's Tanintharyi Region based on March, 2016 Landsat 8 OLI imagery. The primary purpose of the study was to map natural forest for each of four ecological forest types (Mangrove, Mixed Deciduous, Lowland Evergreen, Upland Evergreen). A number of other land use/land cover types are also included in the dataset, including human settlement areas, rice paddyfields, and agroforestry plantations. This dataset is a REVISED version of the land cover map generated according to the methodology outlined in the corresponding manuscript (see below for citation). This version has been manually edited to fill cloud holes using 2015 data and to fix a number of obvious mis-classifications, particularly for oil palm and settlement areas. [Citation: Connette, G., P. Oswald, M. Songer, and P. Leimgruber. 2016. Mapping distinct forest types improves overall forest identification based on multi-spectral Landsat imagery. Remote Sensing 8: 882.] [Spatial reference: WGS84 UTM47N]

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Source Myanmar Information Management Unit (MIMU)
Contributor
Time Period of the Dataset [?] March 01, 2016-March 31, 2016 ... More
Modified [?] 13 December 2016
Dataset Added on HDX [?] 22 January 2020 Less
Expected Update Frequency As needed
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The information contained on this product is provided “as is”, for reference purposes only, based on current available information. The United Nations and the MIMU specifically do not make any warranties or representations as to the accuracy or completeness of such information nor does it imply official endorsement or acceptance by the United Nations. Please share any errors or omissions via maps@themimu.info.

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This product has been prepared for operational purposes only, to support humanitarian and development activities in Myanmar. Copyright ©2020 Myanmar Information Management Unit. MIMU geospatial datasets cannot be used on online platform unless with prior written agreement from MIMU. MIMU products are not for sale and can be used free of charge with attribution. For more information see http://themimu.info/mimu-terms-conditions.

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