Myanmar Information Management Unit (MIMU)
Last updated on January 22, 2020
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  • Updated January 22, 2020 | Dataset date: Jan 1, 2000
    This dataset updates: As needed
    Land use in Myanmar from UNEP 2000 data.
  • Updated January 22, 2020 | Dataset date: Feb 3, 2010
    This dataset updates: As needed
    Myanmar national river network(lines). Place names from GAD with transliteration by MIMU. Lines by MIMU revised from the Digital Chart of the World. 1m scale.
  • Updated January 22, 2020 | Dataset date: Feb 3, 2010
    This dataset updates: As needed
    Myanmar national river network(lines). Place names from GAD with transliteration by MIMU. Lines by MIMU revised from the Digital Chart of the World. 250k scale.
  • Updated January 22, 2020 | Dataset date: Jul 13, 2011
    This dataset updates: As needed
    Myanmar national rail network (lines). Place names from GAD with transliteration by MIMU. Lines by MIMU using 250k Topo sheet as a reference.
  • Updated January 22, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2014
    This dataset updates: As needed
    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
  • Updated January 22, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2014
    This dataset updates: As needed
    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
  • Updated January 22, 2020 | Dataset date: Aug 31, 2016
    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.
  • Updated January 22, 2020 | Dataset date: Apr 20, 2016
    This dataset updates: As needed
    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
  • Updated January 22, 2020 | Dataset date: Mar 1, 2016-Mar 31, 2016
    This dataset updates: As needed
    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)
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Ayeyarwady Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Mar 1, 2016-Mar 31, 2016
    This dataset updates: As needed
    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)
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Bago Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Kayah State (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Kayin State (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Magway Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Tanintharyi Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 23, 2018
    This dataset updates: As needed
    Village Tract boundary for the Nay Pyi Taw Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Feb 28, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Mon State (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Aug 14, 2018
    This dataset updates: As needed
    Ward shp file (polygons) for Yangon city which includes the 33 townships of YCDC area. Pcoded as of Pcode v8.1 Includes 636 wards The ward polygons were digitized based on the GAD sketch maps, 2017
  • Updated January 22, 2020 | Dataset date: Jan 16, 2019
    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
  • Updated January 22, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2014
    This dataset updates: As needed
    A Landsat-based classification of Myanmar’s forest cover with a focus on changes in intact forest between 2002 and 2014. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History LAND COVER CLASSES: Intact Forest (>80% canopy cover); Degraded Forest (10%-80% canopy cover); New** Degraded Forest; Non-Forest (<10% canopy cover); New Non-Forest; Plantations; New Plantations; Water; Snow or Ice *In dry deciduous forest areas, intact forest was defined as >60% canopy cover and degraded forest was defined as 10%-60% canopy cover. All classes defined as “new” indicate that the class converted from intact forest in 2002 to a “new” land cover class in 2014. Original dataset title: Myanmar 2002-2014 Forest Cover Change
  • Updated January 22, 2020 | Dataset date: Feb 20, 2019
    This dataset updates: As needed
    Village Tract boundaries for the Sagaing Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU. Based on the GAD notifications from July 2017 to December 2018, this new version includes the following change: New District of Kawlin (MMR005D011)
  • Updated January 22, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    Road network with main, secondary and tertiary roads. This network-based connectivity approach mainly uses population centres, such as, Union capital, State/Region capital, Main town, other town and village location, as the bases to road network. Main Road links ST/R Capital to Main Towns and to Neighbouring countries. Secondary Road links a Major Road to another Main Road. Tertiary Road links main town to other-town and other-town to other-town. Original dataset title: Myanmar Road Network 2019
  • Updated January 22, 2020 | Dataset date: Feb 20, 2019
    This dataset updates: As needed
    Village Tract boundaries for the Shan State (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU. Based on the GAD notifications from July 2017 to December 2018, this new version includes the following changes: Kawng Ka Law Village Tract (MMR015016027) move from Kyaukme Township (MMR015012) to Namhsan Township (MMR015016)
  • Updated January 22, 2020 | Dataset date: Jun 28, 2019
    This dataset updates: As needed
    Ward administrative boundaries for 96 towns in Myanmar. Source: Digitization based GAD Township profile maps 2017, except for Sagaing, Kengtung, Taungoo and Hpa-An cities based on field sources. P-codes missing in Dagon Myothit (Seikkan) (Yangon): 15 wards Dagon Myothit (North) (Yangon): 1 ward Kyaikto (Mon): 1 ward