Key Figures
Data Grid Completeness
59% 
7/27 Core Data 12 Datasets 7 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.
Legend:
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
Affected People
0 Datasets
100% 
Internally-Displaced Persons
Refugees & Persons of Concern
Returnees
Humanitarian Profile Locations
Humanitarian Needs
Casualties
Coordination & Context
4 Datasets
14%  28%  57% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
Affected Areas
Conflict Events
Humanitarian Access
Transportation Status
Humanitarian OpenStreetMap Team (HOT)
Humanitarian OpenStreetMap Team (HOT)
Damaged & Destroyed Buildings
Food Security & Nutrition
1 Datasets
25%  75% 
Food security
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
Geography & Infrastructure
4 Datasets
50%  25%  25% 
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
OurAirports
Humanitarian OpenStreetMap Team (HOT)
Health & Education
3 Datasets
33%  33%  33% 
Health Facilities
Global Healthsites Mapping Project
Humanitarian OpenStreetMap Team (HOT)
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Affected Schools
Population & Socio-economy
1 Datasets
66%  33% 
Refine your search: Clear all
Featured:
Data series [?]:
Locations:
Formats:
Organisations:
Tags:
More
Licenses:
  • Time Period of the Dataset [?]: March 26, 2020-March 26, 2020 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 3 June 2020
    This dataset updates: Never
    UNOSAT code: FL20200324IRN This map illustrates satellite-detected water surface in Konarak County, Sistan and Baluchestan Province, Islamic Republic of Iran, as observed from Sentinel-2 imagery acquired on 23 March 2020. Within the analysed area of about 1,100 km2, a total of 56 km2 of land appear to be flooded in Konarak County. Based on Worldpop population data and the detected surface waters, about 3,700 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Time Period of the Dataset [?]: January 22, 2020-January 22, 2020 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 3 June 2020
    This dataset updates: Never
    UNOSAT code: FL20200117IRN This map illustrates satellite-detected water surface in Chabahar and Konarak County, Sistan Va Baluchestan Province, Islamic Republic of Iran as observed from Sentinel-2 imagery acquired on 18 January 2020. Within the analysed extent of about 730 km2, a total about 63 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 5,900 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 21, 2020-January 21, 2020 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 3 June 2020
    This dataset updates: Never
    UNOSAT code: FL20200117IRN This map illustrates satellite-detected waters in Dalgan County, Sistan and Baluchestan Province, Islamic Republic of Iran, as observed from Sentinel-2 imagery acquired on 16 January 2020. Within the analysed area of 2,130 km2, a total of 647 km2 of land appear to be flooded in Dalgan County. Based on Worldpop population data and the detected surface waters, about 2,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.
  • Time Period of the Dataset [?]: January 21, 2020-January 21, 2020 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 3 June 2020
    This dataset updates: Never
    UNOSAT code: FL20200117IRN This map illustrates satellite-detected water surface in Konarak District in Sistan Va Baluchestan Province of Iran as observed from Sentinel-2 imagery acquired on 18 January 2020. Within the analysed extent of about 590 km2, a total about 55 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Time Period of the Dataset [?]: May 14, 2019-May 14, 2019 ... More
    Modified [?]: 10 September 2019
    Dataset Added on HDX [?]: 10 September 2019
    This dataset updates: Never
    UNOSAT code: FL20190321IRN This map illustrates satellite-detected surface water in western part of Golestan province, Iran as observed from Sentinel-1A imagery acquired on 10 May 2019. Within the analysed area of about 3,000 sq km, a total 76 sq km of lands appear to be flooded as of 10 May 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1A imagery acquired on 10 May 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal
  • 50+ Downloads
    Time Period of the Dataset [?]: December 23, 2015-December 23, 2015 ... More
    Modified [?]: 30 October 2018
    Dataset Added on HDX [?]: 23 December 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Daily Summaries of Precipitation Indicators
    This dataset contains the daily summaries on base stations across Iran, Islamic Republic of. 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.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More
    Modified [?]: 28 September 2018
    Dataset Added on HDX [?]: 28 September 2018
    This dataset updates: Never
    The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
  • 20+ Downloads
    Time Period of the Dataset [?]: April 19, 2017-April 19, 2017 ... More
    Modified [?]: 28 April 2017
    Dataset Added on HDX [?]: 27 April 2017
    This dataset updates: Never
    This map illustrates the satellite-detected waters extent south of Urmia Lake in the county of Mahabad in West Azerbaijan province of Iran as observed from the Landsat-8 image acquired on 16 April 2017. Within the area of 21,000 ha covered by this map; 2,970 ha of lands appear to be potentially affected which corresponds to 13% of the analyzed area. The flooded areas appear to be mainly agricultural zones and about 8 km of roads seem to be potentially affected. Please note that some areas were cloud covered and could not be analyzed.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 50+ Downloads
    Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More
    Modified [?]: 29 January 2016
    Dataset Added on HDX [?]: 14 January 2016
    This dataset updates: Never
    This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure
    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.