Bangladesh

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  • 10+ Downloads
    Time Period of the Dataset [?]: August 24, 2023-August 24, 2023 ... More
    Modified [?]: 24 August 2023
    Dataset Added on HDX [?]: 25 August 2023
    This dataset updates: Never
    UNOSAT code FL20230807BGD This map illustrate the number of affected buildings within specific district boundaries of interest in Bandarban, Cox's Bazar, Chattogram, and Rangamati Districts, located in Chattogram Division, Bangladesh as of 12 to August 2023. And using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 17,000 km2 and, about 350km2 of lands appear to be flooded. Based on Worldpop population data from 2020, the flood water extent and Microsoft building footprint , ~415,000 people are potentially exposed or living close to flooded areas and about 932 building potentially affected by floods. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 40+ Downloads
    Time Period of the Dataset [?]: May 16, 2023-May 16, 2023 ... More
    Modified [?]: 17 May 2023
    Dataset Added on HDX [?]: 17 May 2023
    This dataset updates: Never
    UNOSAT code TC20230510BGD, GDACS Id: 1000970 This map illustrates satellite-based damage assessment in Saint Martin’s Island Cox’Bazar District, Chattogram Division detected by using a Pleiades very high-resolution satellite image acquired on 15 May 2023. Within the analyzed area, UNOSAT identified 211 affected and potentially affected structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 17% of the total number of structures affected in Saint Martin’s Island. 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 [?]: May 15, 2023-May 15, 2023 ... More
    Modified [?]: 16 May 2023
    Dataset Added on HDX [?]: 16 May 2023
    This dataset updates: Never
    UNOSAT code TC20230510BGD, GDACS Id: 1000970 Tropical Cyclone MOCHA formed over the southern Bay of Bengal on 11 May 2023 and has since then continued to move towards western Myanmar and southern Bangladesh. On 14 May 2023 12:00 UTC, the centre of the cyclone was located approximatively 75km Northeast of Sittwe City (Rakhine State, western Myanmar), with maximum sustained winds of 259 km/h. According to the forecast by JTWC, tropical cyclone MOCHA had a significant impact particularly on the coastal parts of Rakhine State, Myanmar and Chittagong Division, Bangladesh.
  • 20+ Downloads
    Time Period of the Dataset [?]: May 13, 2023-May 13, 2023 ... More
    Modified [?]: 14 May 2023
    Dataset Added on HDX [?]: 14 May 2023
    This dataset updates: Never
    UNOSAT code TC20230510BGD, GDACS Id: 1000970 Tropical Cyclone MOCHA formed over the southern Bay of Bengal on 11 May 2023 and has since then continued to move towards western Myanmar and southern Bangladesh. On 13 May 2023 06:00 UTC, the centre of the cyclone was located over the sea close to Sittwe City (the capital of Rakhine State, western Myanmar, south-eastern Bangladesh), with maximum sustained winds of 231 km/h. According to the forecast by GDACS, tropical cyclone MOCHA can have a high humanitarian impact based on the maximum sustained wind speed, exposed population, and vulnerability.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 23, 2022-June 23, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Rangpur Division, Bangladesh as observed from a Sentinel-1 images acquired on 21 Jun. 2022 at 18:05 local time and using an automated analysis with machine learning method. Within the analyzed area of about 12,400 km2, about 1,200 km2 of lands appear to be flooded. 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 Kurigram with ~537,000 people, and Gaibandha with ~355,000 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.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 22, 2022-June 22, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Rajshahi, Rangur, Mymensingh, Dhaka and Khulna Divisions, Bangladesh as observed from a Sentinel-1 images acquired on 21 Jun. 2022 at 18:05 local time and using an automated analysis with machine learning method. Within the analyzed area of about 20,400 km2, about 2,950 km2 of lands appear to be flooded. Water extent appears to have increased of about 2,360 km2 since 9 Jun. 2022. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the division of Rajshahi with ~1,335,000 people, Dhaka with 674,000 people,and Mymensingh with ~ 640,000 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: June 21, 2022-June 21, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters and impact in Sylhet and Sunamganj Districts, Sylhet Division, Bangladesh as observed from a RCM-1 image acquired on 18 Jun 2022 at 17:54 local time. Within the analyzed area of about 1,325 km2, about 840 km2 of lands appear to be flooded. In this area, about 140 km of roads and 1 km of railway appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters, about 839,000 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: June 21, 2022-June 21, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh observed from a RCM-1 images acquired on 19 Jun. 2022 at 18:02 local time. Within the analyzed area of about 22,300 km2, about 9,500 km2 of lands appear to be flooded. In this area, about 7,860 km2 of croplands and 1,340 km2 of herbaceous wetland appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters, about 7,334,000 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.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 20, 2022-June 20, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a RCM-1 images acquired on 19 Jun. 2022 at 18:02 local time. Within the analyzed area of about 22,300 km2, about 9,500 km2 of lands appear to be flooded. Water extent appears to have increased of about 2,150 km2 since the period between 25 to 28 May 2022. 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 Sunamganj with ~1,822,000 people and Sylhet with ~1,550,000 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 31, 2022-May 31, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a Sentinel-1 images acquired on 28 May 2022 at 18:04 local time and using an automated analysis with machine learning method. Within the analyzed area of about 12,000 km2, about 4,500 km2 of lands appear to be flooded. In this area, about 3,400 km2 of croplands and 1,000 km2 of herbaceous wetland appear to be likely affected by the flood waters. 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 Sunamganj with ~935,000 people and Kishoreganj with ~779,000 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 [?]: May 30, 2022-May 30, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a Sentinel-1 images acquired on 26 May 2022 at 05:47 local time and using an automated analysis with machine learning method. Within the analyzed area of about 16,000 km2, about 6,800 km2 of lands appear to be flooded. In this area, about 5,400 km2 of croplands and 1,270 km2 of herbaceous wetland appear to be likely affected by the flood waters. 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 Sunamganj with ~1,700,000 people and Sylhet with ~1,400,000 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: June 01, 2022-June 01, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220525BGD This map illustrates satellite-detected surface waters in Sylhet and Sunamganj Districts, Sylhet Division, Bangladesh as observed from a Chaohu-1 image acquired on 25 May 2022 at 22:23 local time. Within the analyzed area of about 730 km2, about 420 km2 of lands appear to be flooded. In this area, about 300 km2 of croplands and 70 km2 of herbaceous wetland appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters, about 307,000 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: August 09, 2021-August 09, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This map illustrates satellite-detected surface waters in Chittagong division, Bangladesh as observed from a Sentinel-1 image acquired on 8 August 2021 at 17:55 local time. Within the analyzed area of about 18,700 km2 and, about 873 km2 of lands appear to be flooded. The water extent appears to have increased of about 21 km2 since 30 July 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 Cox's Bazar with ~393,240 people, Chittagong with ~358,320 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.
  • 40+ Downloads
    Time Period of the Dataset [?]: August 03, 2021-August 03, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This is a web map showing analysis and results related to floods in Cox's Bazar area, Chittagong division, Bangladesh
  • Time Period of the Dataset [?]: August 11, 2021-August 11, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This map illustrates satellite-detected surface waters in Chittagong division, Bangladesh as observed from a Sentinel-1 image acquired on 11 August 2021 at 05:48 local time. Within the analyzed area of about 18,700 km2 and, about 754 km2 of lands appear to be flooded. The water extent appears to have decreased of about 119 km2 since 8 August 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 Chittagong with ~ 342,690 people. and Cox's Bazar with ~ 244,000 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 [?]: August 02, 2021-August 02, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20210729BGD This map illustrates satellite-detected surface waters in Chittagong division, Bangladesh as observed from a Sentinel-1 image acquired on 30 July 2021 at 05:33 local time Within the analyzed area of about 18,700 km2 and, about 852 km2 of lands appear to be flooded. The water extent appears to have decreased of about 18km2 since 27 July 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 Cox's Bazar with ~425,000 people, Chittagong with ~392,300 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.
  • 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
  • 2100+ Downloads
    Time Period of the Dataset [?]: January 01, 2013-January 01, 2013 ... More
    Modified [?]: 20 May 2021
    Dataset Added on HDX [?]: 8 March 2017
    This dataset updates: Never
    This spatial dataset provides Hazard data of Bangladesh. Drought risk, Earthquake risk, Flood risk and River erosion risk are included as separated datasets with different attributes. The source of the data is Bangladesh Agricultural Research Council (BARC). Dataset records are updated by WFP, Map Action and OCHA.
  • 200+ Downloads
    Time Period of the Dataset [?]: July 24, 2020-July 24, 2020 ... More
    Modified [?]: 11 August 2020
    Dataset Added on HDX [?]: 11 August 2020
    This dataset updates: Never
    UNOSAT code: FL20200713BGD This map illustrates potentially exposed population to floods (cumulative) aggregated by district using NOAA20-VIIRS in Bangladesh between the 12th and the 21st of July 2020 and Worldpop spatial demographic data. About 34 million people were exposed or living close to flooded areas. The most exposed districts mainly located in Sylhet, Mymensingh and Rajshahi divisions.
  • 30+ Downloads
    Time Period of the Dataset [?]: July 22, 2020-July 22, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over Khulna, Rajshahi and Rangpur Division of Bangladesh of Bangladesh as observed from a Sentinel-1 image acquired on 9 July 2020 and 21 July 2020. Within the analyzed area of about 15,000 km2, a total of about 3,600 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 2,507,000 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 UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 image acquired on 9 July 2020 and 21 July 2020 may underestimate the presence of standing
  • 20+ Downloads
    Time Period of the Dataset [?]: July 22, 2020-July 22, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over Chittagong, Dhaka, Mymensingh and Sylhet Divisions of Bangladesh as observed from a Sentinel-1 image acquired on 20 July 2020 due to the current monsoon rains. Within the analyzed area of about 14,250 km2, a total of about 7,120 km2 of lands appear to be flooded. Based on WorldPop population data and the detected surface waters, about 6,700,000 people area 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. 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.
  • 40+ Downloads
    Time Period of the Dataset [?]: July 21, 2020-July 21, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters in the central parts of Bangladesh as observed from a Sentinel-1 image acquired on 19 July 2020 and 13 July 2020. Within the analyzed area of about 40,000 km2, a total of about 8,700 km2 of lands 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. Important Note: Flood analysis from Sentinel-1 imagery acquired on 19 July 2020 and 13 July 2020 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 21, 2020-July 21, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over the Eastern part of the Sylhet division of Bangladesh as observed from a TerraSAR-X image acquired on 18 July 2020 due to the current monsoon rains. Within the analyzed area of about 8,600 km2, a total of about 2,200 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Based on WorldPop population data and the detected surface waters, about 2,000,000 people area potentially exposed or living close to flooded areas. Please send ground feedback to UNITAR - 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 [?]: July 20, 2020-July 20, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over Mymensingh, Rajshahi and Rangpur Division of Bangladesh as observed from a TerraSAR-X image acquired on 18 July 2020. Within the analyzed area of about 9,000 km2, a total of about 2,860 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please sendground feedback to UNITAR - 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 [?]: July 20, 2020-July 20, 2020 ... More
    Modified [?]: 24 July 2020
    Dataset Added on HDX [?]: 24 July 2020
    This dataset updates: Never
    UNOSAT code: FL20200713BGD This map illustrates satellite-detected surface waters over Bangladesh as observed from a TanDEM-X image acquired on 19 July 2020 due to the current monsoon rains. Within the analyzed area of about 14,000 km2, a total of about 6,800 km2 of lands 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. 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.