Data Completeness
3/26 Core Data 9 Datasets 8 Organisations Show legend
What is Data Completeness?
Data 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 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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  • This map illustrates satellite-detected flood waters in the centre of Sagaing State in the areas of Kawlin, Kanbalu,Taze and Kyunhla Townships of Myanmar as imaged by the Radarsat-2 satellite on 30 July 2015 and compared with Sentinel-1 satellite data on 18 July 2015 and Landsat-8 satellite acquired 29 April 2015. There is a notable increase in the expansion of reservoir compared to the previous weeks. Note also, many of inundated areas are swamps which are regularly flooded in the rainy season and as the river expands. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated November 25, 2015 | Dataset date: Jul 24, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the centre of Sagaiang State in the areas of Kawlin, Kanbalu, Taze and Kyunhla Townships of Myanmar as imaged by the Sentinel-1 satellite on 18 July 2015 and compared with waters imaged by Landsat-8 satellite and acquired 29 April 2015. Heavy rains at the onset of the monsoon season have caused flooding and an expansion of the dam reservoir close to Kanbalu town. Waters extended to about 80% in the area covered by the map and this includes the expansion of the dam reservoir. However the dam reservoir does not seem to be overflowing as of the 18 July 2015. Note also, many of inundated areas are swamps which are regularly flooded in the rainy season and as the river expands. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated November 25, 2015 | Dataset date: Jul 15, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the western part of Rakhine State in the townships of Ann, Kyaukpyu, Toungup and Myebon, Myanmar as imaged by the SENTINEL-1 satellite on 11 July 2015. Heavy rains at the onset of the monsoon season have caused limited flooding. The most affected lands seem to be mainly agricultural and/or paddy 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.
  • Updated November 25, 2015 | Dataset date: Jul 13, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Northwestern part of Rakhine State in the areas of Maungdaw, Buthidaung, Ponnagyun and Rathedaung Townships of Myanmar as imaged by the Radarsat-2 satellite on 10 July 2015. Heavy rains at the onset of the monsoon season has caused limited flooding, and flood waters seem to have affected roughly 900 hectares of land within the 425 square kilometer analyzed area. The most affected lands seem to be mainly agricultural and/or paddy 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.