Data Grid Completeness
13/21 Core Data 16 Datasets 9 Organisations Show legend
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
2 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Humanitarian Needs
Coordination & Context
3 Datasets
3w - Who is doing what where
International Aid Transparency Initiative
Affected Areas
Conflict Events
Humanitarian Access
Myanmar Information Management Unit (MIMU)
Transportation Status
Food Security & Nutrition
2 Datasets
Food security
Acute Malnutrition
Myanmar Information Management Unit (MIMU)
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
Administrative Divisions
Myanmar Information Management Unit (MIMU)
Populated Places
Myanmar Information Management Unit (MIMU)
Roads
Myanmar Information Management Unit (MIMU)
Airports
Myanmar Information Management Unit (MIMU)
Health & Education
3 Datasets
Health Facilities
Global Healthsites Mapping Project
Education Facilities
Myanmar Information Management Unit (MIMU)
Myanmar Information Management Unit (MIMU)
Population & Socio-economy
2 Datasets
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 10+ Downloads
    Updated 12 May 2021 | Dataset date: July 18, 2015-July 18, 2015
    This dataset updates: Never
    This is "Flood vectors - Sentinel-1 (18 July 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 106,050 satellite detected water bodies with a spatial extent of 1,623.93 square kilometers derived from the Sentinel-1 image ac...
  • 20+ Downloads
    Updated 12 May 2021 | Dataset date: July 11, 2015-July 11, 2015
    This dataset updates: Never
    This is "Flood vectors - Sentinel-1 (11 July 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 18,990 satellite detected water bodies with a spatial extent of 6,593.12 square kilometers derived from the Sentinel-1 image acq...
  • 10+ Downloads
    Updated 12 May 2021 | Dataset date: August 06, 2015-August 06, 2015
    This dataset updates: Never
    This is "Flood vectors - TerraSAR-X (06 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 21,970 satellite detected water bodies with a spatial extent of 1,066.81 square kilometers derived from the TerraSAR-X image a...
  • Updated 12 May 2021 | Dataset date: July 10, 2015-July 10, 2015
    This dataset updates: Never
    This is "Flood vectors - Radarsat-2 (10 July 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 41,369 satellite detected water bodies with a spatial extent of 690,073.54 square kilometers derived from the Radarsat-2 image a...
  • Updated 12 May 2021 | Dataset date: August 11, 2015-August 11, 2015
    This dataset updates: Never
    This is "Flood vectors - Sentinel-1 (11 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 54,800 satellite detected water bodies with a spatial extent of 2,939.48 square kilometers derived from the Sentinel-1 image a...
  • Updated 12 May 2021 | Dataset date: August 17, 2015-August 17, 2015
    This dataset updates: Never
    This is "Flood vectors - Radarsat-2 (17 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 17,249 satellite detected water bodies with a spatial extent of 1,052.18 square kilometers derived from the Radarsat-2 image a...
  • 30+ Downloads
    Updated 12 May 2021 | Dataset date: August 10, 2015-August 10, 2015
    This dataset updates: Never
    This is "Flood vectors - TerraSAR-X (10 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 36,947 satellite detected water bodies with a spatial extent of 1,398.96 square kilometers derived from the TerraSAR-X image a...
  • Updated 12 May 2021 | Dataset date: July 30, 2015-July 30, 2015
    This dataset updates: Never
    This is "Flood vectors - Radarsat-2 (30 July 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 8,573 satellite detected water bodies with a spatial extent of 747.03 square kilometers derived from the Radarsat-2 image acquir...
  • Updated 4 May 2021 | Dataset date: August 12, 2015-August 12, 2015
    This dataset updates: Never
    This is "Flood vectors - ALOS PALSAR (12 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 4,755 satellite detected water bodies with a spatial extent of 225.31 square kilometers derived from the ALOS PALSAR image ac...
  • Updated 4 May 2021 | Dataset date: August 04, 2013-August 04, 2013
    This dataset updates: Never
    This is "Flood vectors - TerraSAR-X (04 August 2013)" of the Flood analysis for Myanmar which began on 05 August 2013. It includes 24,618 satellite detected water bodies with a spatial extent of 1,489.24 square kilometers derived from the TerraSAR-X image...
  • 10+ Downloads
    Updated 4 May 2021 | Dataset date: August 05, 2013-August 05, 2013
    This dataset updates: Never
    This is "Flood vectors - RISAT-1 (05 August 2013)" of the Flood analysis for Myanmar which began on 05 August 2013. It includes 1,198 satellite detected water bodies with a spatial extent of 733.36 square kilometers derived from the RISAT-1 image acquired...
  • 10+ Downloads
    Updated 4 May 2021 | Dataset date: August 09, 2015-August 09, 2015
    This dataset updates: Never
    This is "Flood vectors - Radarsat-2 (09 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 38,793 satellite detected water bodies with a spatial extent of 1,374.71 square kilometers derived from the Radarsat-2 image a...
  • Updated 4 May 2021 | Dataset date: August 16, 2015-August 16, 2015
    This dataset updates: Never
    This is "Flood vectors - ALOS PALSAR (16 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 4,739 satellite detected water bodies with a spatial extent of 750.49 square kilometers derived from the ALOS PALSAR image ac...
  • 200+ Downloads
    Updated 30 October 2018 | Dataset date: December 23, 2015-December 23, 2015
    This dataset updates: Never
    This dataset contains the daily summaries on base stations across Myanmar. The four indicators included are: TPCP: Total precipitation MXSD: Maximum snow depth TSNW: Total snow fall EMXP: Extreme maximum daily precipitation Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions. This dataset contains the latest 5 years of available data.
  • 20+ Downloads
    Updated 21 June 2018 | Dataset date: August 14, 2015-August 14, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and south of Myebon townships, as imaged by the ALOS-2 / PALSAR satellite on 12 August 2015. In the analyzed area a total of ~3,800 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 3.8% to 4.6% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the main river banks, and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 100+ Downloads
    Updated 29 January 2016 | Dataset date: December 31, 2015-December 31, 2015
    This dataset updates: Never
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
  • 10+ Downloads
    Updated 6 November 2015 | Dataset date: October 21, 2015-October 21, 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters over Tonzang township, Chin Division, Myanmar. UNITAR-UNOSAT analyzed imagery collected by the WorldView-2 satellite on 17 October 2015 to assess the status of a landslide induced dam in Tonzang township. Imagery shows that there has been an increase in the satellite detected waters in the area and a total of 54 hectares are covered by water as of 17 October 2015. This means an increase of 59% since last UNOSAT analysis with imagery from 16 September 2015 when 34 hectares of land were covered by water. The increase on the satellite detected waters might have been slightly overestimated as extensive cloud cover in the area as of 16 September prevented UNOSAT from analyzing certain areas of the landslide. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • Updated 29 September 2015 | Dataset date: September 17, 2015-September 17, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures over Tuikhingzang town, Tonzang township, Chin Division, Myanmar. After a reported landslide induced dam that ruptured on 28 August 2015, UNITAR-UNOSAT analyzed imagery collected by the Pleiades satellite on 16 September 2015 and identified an area severely affected by a mudslide. Wide agricultural areas appear affected and the town of Tuikhingzang is partially covered by mud. UNOSAT identified a total of 141 destroyed structures and 48 severely damaged structures in the area. Local roads are also affected and a bridge has been completely destroyed. In addition two IDP settlements are visible 1 and 3 km northeast of the town and a total of 260 possible tent shelters were identified. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Updated 29 September 2015 | Dataset date: September 08, 2015-September 08, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in western Sagaing Division in the areas of Homalin, Tamu, Phaungbyin and Mawlaik townships of Myanmar as imaged by the Sentinel-1 satellite on 4 September 2015. Waters along the Chindwin have expanded and inundated lands on either sides of the river bank and as of 4 September 2015 a total of ~111,000 ha of lands were affected. Total surface area covered with water in the analysed area has increased from a pre-flood level of 0.4% to 2.9 % during the flood period. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated 29 September 2015 | Dataset date: August 19, 2015-August 19, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over north Rakhine State, Myanmar, in the areas of Kyauktaw and Ponnagyun and Rathedaung townships, as imaged by the Radarsat-2 satellite on 17 August 2015. Waters along the Kaladan River have expanded and inundated lands on either sides of the river bank. Total surface area covered with water in the analysed area has increased from a pre-flood level of 4% to 8% during the flood period, and as of 17 August 2015 a total of ~55,000 ha of lands were affected. Due to sensor limitations, flood waters could be underestimated in urban areas and areas covered with vegetation. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 29 September 2015 | Dataset date: August 17, 2015-August 17, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and Myebon townships, as imaged by the ALOS-2 / PALSAR-2 satellite on 16 August 2015. In the analyzed area a total of ~24,600 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 10.2% to 15.2% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the main river banks, and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated 29 September 2015 | Dataset date: August 14, 2015-August 14, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the region of Kayin and Mon State in the areas of Papun, Bilin, Hlaingbwe, Thaton, Pa-An, Paung, Moulmein, Kyaikmaraw, and Kya In Seikkyi townships of Myanmar as imaged by the Sentinel-1 satellite on 6 August 2015. Waters along the Salween River have expanded and inundated lands on either sides of the river bank. Total surface covered with water in the analyzed area has increased from a pre-flood level of 4% to 10% during the flood period, and as of 6 August 2015 a total of ~230,000 ha of lands were affected. Most of the affected lands north of Letpan town seem to be mainly agricultural fields, many of which are of course frequently inundated at other times as well. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated 29 September 2015 | Dataset date: August 13, 2015-August 13, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the South Bago Division of Myanmar, over the Bago, Waw, Thanatpin, Kawa, and Kayan townships. Using satellite imagery acquired 09 August 2015, UNITAR-UNOSAT identified a total of 89,188 hectares of flood affected lands in the analyzed area that were mainly comprised of agricultural and/or paddy fields. The township of Thanatpin in Pegu district was the worst affected township with 5,822 hectares of flood affected land, followed by Kawa township in Pegu district (4,514 ha). Approximately 30 km of roads are potentially affected by floods in 17 of the 29 analyzed townships. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 29 September 2015 | Dataset date: August 13, 2015-August 13, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the central part of Sagaing region in the areas of Shwebo, Wetlet and Khin-U townships of Myanmar as imaged by the Sentinel-1 satellite on 11 August 2015. Waters along the Mu River have expanded and inundated lands on either sides of the river bank. Floods affected lands increased on the left bank of the Mu River (downstream). Total surface area covered with water in the analysed area has increased from a pre-flood level of 1% to 7% during the flood period, and as of 11 August 2015 a total of ~250,000 ha of lands were affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 29 September 2015 | Dataset date: August 12, 2015-August 12, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Southern region of Sagaing Division in the areas of Monywa, Chaung-U and Myaung townships of Myanmar as imaged by the Radarsat-2 satellite on 6 August 2015. Waters along the Chindwin River have expanded and inundated lands on either sides of the river bank. Flood affected lands increase in the area were Chindwin River flows into Ayeyarwady River. Total surface covered with water in the analysed area has increased from a pre-flood level of 1% to 5% during the flood period, and as of 6 August 2015 a total of 86,799 ha of lands were affected. The township of Myaung in Sagaing district was the worst affected township with 22,024 hectares of flood affected land, followed by Chaung-U township in Monywa district (13,732 ha). Approximately 12 km of roads are potentially affected by floods in 17 of the 29 anlyzed townships. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.