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  • Time Period of the Dataset [?]: October 06, 2022-October 06, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code TC20220928THA, GDACS Id: 1000922 This map illustrates satellite-detected surface waters in Chaiyaphum and Nakhon Ratchasima Provinces, Thailand as observed from a RCM-2 image acquired on 4 October 2022 at 06:08 local time. Within the extent of this map of 1,100 km², about 240 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, about 24,000 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 United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: November 03, 2022-November 03, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code TC20220928THA, GDACS Id: 1000922 This map illustrates satellite-detected surface waters in Ubon Ratchathani Province, Thailand as observed from a GeoEye-1 image acquired on 20 October 2022 at 10:35 local time. Within the analysis extent of this map, about 120 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters within the analysis extent, approximately 32,000 people are potentially exposed to or living close to flooded areas along with 11,330 structures and approximately 400 km roads potentially damaged by flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: November 12, 2021-November 12, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA Summary of finding - Floodwaters observed in 13 provinces as of 11 November 2021; - Receding floodwaters observed in Lower Northeastern Region as of 11 November 2021; - Receding floodwaters observed in Amnat Chareon, Buri Ram, Chaiyaphum, Khon Kaen, and Nakhon Ratchasima provinces as of 11 November 2021; - Floodwaters increase observed in Kalasin, Maha Sarakham, Nong Bua Lam Phu, Roi Et, Si Sa Ket, Surin, Ubon Ratchathani, and Yasothon provinces as of 11 November 2021.
  • Time Period of the Dataset [?]: October 19, 2021-October 19, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Northeastern part of Thailand as observed from a Sentinel-1 image acquired on 17 Oct 2021 at 18:20 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 60,000 km2 , about 810 km2 of lands appear to be flooded. The water extent appears to have increased of about 220 km2 since 16 October 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is 80,000 people mainly located in province of Khon Kaen Province with ~ 24,000 and Nakhon Ratchasima with ~ 22,000 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: October 11, 2021-October 11, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Northeastern part of Thailand as observed from a Sentinel-1 image acquired on 10 Oct 2021 at 06:00 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 60,000 km2 , about 660 km2 of lands appear to be flooded. The water extent appears to have decreased of about 100 km2 since 5 October 2021 and moved toward east part. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Mueang Khon Kaen with ~ 6,300, Kosum Phisai with ~ 6,000 people, and Phimai with ~ 5,300 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 03, 2021-November 03, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA Summary Of Findings; Floodwaters observed in 17 provinces as of 2 November 2021; Receding flood waters observed in Central Region as of 2 November 2021; Standing flood waters observed in Sukhothai, Phitsanulok, Kamphaeng Phet, Phichit, Phetchabun, Nakhon Sawan, Uthai Thani, and Kanchanaburi provinces as of 2 November 2021;  Increased standing flood waters observed in Chai Nat, Suphan Buri, Sing Buri, Ang Thong, Saraburi, Lop Buri, Ayutthaya, Nakhon Pathom and Pathum Thani provinces as of 2 November 2021. 
  • Time Period of the Dataset [?]: October 22, 2021-October 22, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Central and Western parts of Thailand as observed from a Sentinel-1 image acquired on 21 October 2021 at 06:09 local time. Within the analyzed area of about 90,000 km2 , about 3,200 km2 of lands appear to be flooded. The water extent appears to have receded of about 70 km2 since 10 October 202. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is 370,000 people mainly located in province of Phra Nakhon Si Ayutthaya with ~ 99,000 people, Suphan Buri with ~ 88,000 people, and Nakhon Sawan with ~ 47,000 people, This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: October 08, 2021-October 08, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Nakhon Ratchasima province, Thailand as observed from a Kompsat-5 image acquired on 6 Oct 2021 at 18:24 local time. Within the analyzed area of about 1,000 km2 , about 9 km2 of lands appear to be flooded. The water extent appears to have decreased and based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Non Sung with ~ 1,100 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: October 05, 2021-October 05, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Central part of Thailand as observed from a Sentinel-1 image acquired on 3 October 2021 at 06:08 local time. Within the analyzed area of about 91,000 km2 , about 3,300 km2 of lands appear to be flooded. The water extent appears to have decreased of about 180 km2 since 27 September 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is 350,000 people mainly located in the Ayutthaya Province with ~ 76,000 People. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: October 04, 2021-October 04, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Sukhothai, Phitsanulok, Kamphaeng Phet, and Uttaradit provinces of Thailand as observed from a Sentinel-1 image acquired on 2 October 2021 at 06:17 local time. Within the analyzed area of about 4,500 km2 , about 450 km2 of lands appear to be flooded. The water extent appears to have increased of about 90 km2 since 28 September 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Mueang Sukhothai with ~ 14,000 people, Sawankhalok with ~ 14,000 people, Khiri Mat with ~ 7,400 people, and Si Samrong with ~ 7,000 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: October 06, 2021-October 06, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210928THA This map illustrates satellite-detected surface waters in Khon Kaen, Chaiyaphum, Nakhon Ratchasima, and Nong Bua Lam Phu provinces, Thailand as observed from a Sentinel-1 image acquired on 5 Oct 2021 at 18:20 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 40,500 km2 , about 770 km2 of lands appear to be flooded. The water extent appears to have decreased of about 70 km2 since 29 September 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Phimai with ~ 10,400 people, Non Sung with ~ 9,000 people, Mueang Chaiyaphum with ~ 6,700 people, Mueang Khon Kaen with ~ 4,500 people, and Chonnabot Thai with ~ 4,300 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: July 09, 2021-July 09, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: AC20210705THA Status: Damaged structures observed Action: Completed Analysis: United Nations Satellite Centre (UNOSAT) Destroyed structures observed nearby the blast epicenter as of 7 July 2021; Widespread damage and damaged roofs observed within 1 km radius zone from the blast epicenter as of 7 & 9 July 2021; No damaged roofs observed beyond 2 km radius from the blast epicenter as of 7 & 9 July 2021.
  • 10+ Downloads
    Time Period of the Dataset [?]: July 16, 2021-July 16, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: AC20210705THA This map illustrates the damage assessment after the blast of the 5th July 2021 in Bang Phli Yai sub-district, Bang Phli district, Samut Prakan province, Thailand. UNITAR - UNOSAT identified 328 potentially damaged structures of which 13 are destroyed and 315 are severely or moderately damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 2200+ Downloads
    Time Period of the Dataset [?]: December 31, 2019-September 23, 2020 ... More
    Modified [?]: 10 February 2022
    Dataset Added on HDX [?]: 7 May 2020
    This dataset updates: Never
    The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries. The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff. The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include: • Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines • Policy-related: government coordination and legal authorization, public communications and education, movement restrictions • Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces • Economic measures: economic and social measures, logistics / supply chains and security. We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database. Comments on the data can be submitted to covid.database.comments@dalberg.com Questions can be submitted to covid.database.questions@dalberg.com www.dalberg.com
  • 100+ 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.