Myanmar Information Management Unit (MIMU)

Member since 9 December 2015
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  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 16 December 2019
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Formal Sector Schools for Basic Education in Myanmar. Location data was verified in October 2019 by the Ministry of Education (MoE) and compiled by MIMU. Some school locations have yet to be confirmed and some may not be included in this dataset. Original dataset title: Formal Sector School Location Upper Myanmar (2019)
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 16 December 2019
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Formal Sector Schools for Basic Education in Myanmar. Location data was verified in May 2019 by the Ministry of Education (MoE) and compiled by MIMU. Some school locations have yet to be confirmed and some may not be included in this dataset. Original dataset title: Formal Sector School Location Lower Myanmar (2019)
  • 200+ Downloads
    Time Period of the Dataset [?]: September 13, 2019-September 13, 2019 ... More
    Modified [?]: 13 September 2019
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Location of the industrial zones, Special Economic Zones (SEZ) and other economic development areas. Source: FMR Research and Advisory, MIMU Data Source: FMR Research and Advisory, MIMU
  • 50+ Downloads
    Time Period of the Dataset [?]: May 01, 2019-May 31, 2019 ... More
    Modified [?]: 6 September 2019
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Hard To Reach Towns in Myanmar. The General Administration Department defines the Hard to Reach areas in three categories (Moderate, Hard, Very Hard) according to road accessibility across seasons Order No. 44/219, 8 May 2019 by the Ministry of Planning and Finance Original dataset title: Hard To Reach Towns May 2019
  • 20+ Downloads
    Time Period of the Dataset [?]: May 01, 2019-May 31, 2019 ... More
    Modified [?]: 6 September 2019
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Hard To Reach Village Tracts in Myanmar. The General Administration Department defines the Hard to Reach areas in three categories (Moderate, Hard, Very Hard) according to road accessibility across seasons. Order No. 44/219, 8 May 2019 by the Ministry of Planning and Finance Original dataset title: Hard to Reach Village Tract May 2019
  • 30+ Downloads
    Time Period of the Dataset [?]: August 27, 2019-August 27, 2019 ... More
    Modified [?]: 27 August 2019
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Low-lying Areas below 5 meters elevation. This dataset is derived from the Multi-Error-Removed Improved-Terrain / MERIT DEM.
  • 50+ Downloads
    Time Period of the Dataset [?]: January 16, 2019-January 16, 2019 ... More
    Modified [?]: 16 January 2019
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Location of Sea Ports in Myanmar. Attributes include Port Name, Port Type (Sea port and deep Sea Port Projects), as well as Source. Data source: Myanma Port Authority, http://www.mpa.gov.mm/ January 2019
  • 30+ Downloads
    Time Period of the Dataset [?]: March 01, 2016-March 31, 2016 ... More
    Modified [?]: 13 December 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    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] Original dataset title: Tanintharyi Region Land Cover - March 2016 (Improved)
  • 20+ Downloads
    Time Period of the Dataset [?]: March 01, 2016-March 31, 2016 ... More
    Modified [?]: 25 October 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Geotiff download link: http://bit.ly/2IjLZtw 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 the original version generated according to the methodology outlined in the corresponding manuscript. [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] Original dataset title: Tanintharyi Region Land Cover - March 2016 (Original)
  • 90+ Downloads
    Time Period of the Dataset [?]: August 31, 2016-August 31, 2016 ... More
    Modified [?]: 31 August 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    This is a dataset of possible mining areas in Myanmar that was digitized from a systematic search of high-resolution imagery available on Google Earth and Bing Aerial. Digitizing took place in late 2015 and early 2016 with the most recent imagery available (usually 2014 or 2015). A field in the attribute table called "Certainty" indicates the how confident we were that the digitized polygon is a mine, rather than some other type of ground disturbance.
  • 50+ Downloads
    Time Period of the Dataset [?]: April 20, 2016-April 20, 2016 ... More
    Modified [?]: 20 April 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2PHtJyf This is a Landsat 8-based classification of the extent and condition of mangrove forests in Tanintharyi Region. The classification is derived from satellite images which were acquired in 2014. The classification is based on ground truth data, which was collected in May and June 2015. In addition, further training polygons were digitized based on high-resolution Google Maps and Bing Maps data. This dataset is a filtered version of the initial classification result. The classified mangrove classes are ‘Intact to slightly degraded mangroves’, ‘Degraded mangroves’, ‘Heavily degraded mangroves’ and ‘Nipa monoculture’. suggested citiation: Stephani, A.; Oswald, P.; Koellner, T.; Wegmann, M., 2016. Tanintharyi Region Mangrove Forest dataset (2014). Point of contact: annastephani@gmx.de and patrickoswald@fauna-flora.org
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2002-December 31, 2014 ... More
    Modified [?]: 17 February 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2wq7KFy Metadata download link: http://geonode.themimu.info/documents/26 A Landsat-based classification of forest cover in Tanintharyi Region with a focus on changes in intact forest between 2002 and 2014. This dataset expands upon the Myanmar 2002-2014 Forest Cover Change raster*, by differentiating oil palm plantations from other plantations. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History *http://geonode.themimu.info/layers/geonode%3Amyanmar_forestcoverchange See the recommended style file (.txt) in the documents section for associating raster values and creating the legend. Original dataset title: Tanintharyi Region 2002-2014 Forest Cover Change
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2002-December 31, 2014 ... More
    Modified [?]: 17 February 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2VOvrlD Metadata Download link: http://geonode.themimu.info/documents/27 A Landsat-based classification of forest cover in Kachin State and Sagaing Region with a focus on changes in intact forest between 2002 and 2014. This dataset expands upon the Myanmar 2002-2014 Forest Cover Change raster*, by differentiating mining from other non-forest land cover classes. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History *http://geonode.themimu.info/layers/geonode%3Amyanmar_forestcoverchange See the recommended style file (.txt) in the documents section for associating raster values and creating the legend. Original dataset title: Kachin State and Sagaing Region 2002-2014 Forest Cover Change
  • 40+ Downloads
    Time Period of the Dataset [?]: February 03, 2010-February 03, 2010 ... More
    Modified [?]: 3 February 2010
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Myanmar national river network(lines). Data from the Digital Chart of the World. Digitization revised by MIMU at 1:250,000 scale. This dataset was mainly digitized at 1:250’000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned.
  • 300+ Downloads
    Time Period of the Dataset [?]: February 03, 2010-February 03, 2010 ... More
    Modified [?]: 3 February 2010
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Myanmar national river network (polylines). Place names from General Administration Department (GAD) with transliteration by MIMU. Polylines by MIMU based on the Digital Chart of the World. This dataset was mainly digitized at 1:1,000,000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned. The United Nations and the MIMU specifically do not make any warranties or representations as to the accuracy or completeness of this dataset nor does it imply official endorsement or acceptance by the United Nations.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 1 January 2000
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Land use in Myanmar from UNEP 2000 data.