Philippines

Data Datasets [203] | Archived Datasets[113] [?]
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  • 300+ Downloads
    Time Period of the Dataset [?]: November 16, 2020-November 16, 2020 ... More
    Modified [?]: 30 March 2021
    Dataset Added on HDX [?]: 17 November 2020
    This dataset updates: Never
    This data is about the humanitarian interventions of local/international organizations, faith based organizations, government, private sectors, UN agencies, and Red Cross in the areas affected by the typhoons.
  • 20+ Downloads
    Time Period of the Dataset [?]: November 12, 2020-November 12, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Camarines Norte province of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 650 km2, a total of about 60 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 32,000 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 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 16, 2020-November 16, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected mudslide extent in the Historical Cagsawa and surrounding in Daraga Municipality, Albay Province, Bicol Region, Philippines as observed on Pleiades image acquired on 13th of November 2020 at 10:47 Local time. About 80 buildings are identified as damaged and 30 as potentially damaged. Some roads were also identified as potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 30+ Downloads
    Time Period of the Dataset [?]: November 18, 2020-November 18, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Ilocos, Central Luzon and National Capital regions of Philippines as observed from a Sentinel-1 image acquired on 17 November 2020 at 05:46 local time. Within the analyzed area of about 16,500 km2, a total of about 300 km2 of lands appear to be flooded. The water extent appears to have receded of about 900 km2 since 13 November 2020. Based on Worldpop population data and the detected surface waters, about 200,000 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 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 13, 2020-November 13, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Donsol and Pilar municipalities, Sorsogon province, Bicol region of Philippines as observed from a Sentinel-1 image acquired on 13 November 2020 at 05:30 local time. Within the analyzed area of about 180 km2, a total of about 3 km2 of lands appear to be flooded. The water extent appears to have receded of about 3 km2 since 12 November 2020. Based on Worldpop population data and the detected surface waters, about 1,200 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 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 12, 2020-November 12, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Daraga, Jovellar municipalities of Albay province & Donsol, Pilar municipalities of Sorsogon province of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 270 km2, a total of about 6 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,000 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 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 16, 2020-November 16, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 13 November 2020 at 17:57 local time. Within the analyzed area of about 2,500 km2, a total of about 210 km2 of lands appear to be flooded. The water extent appears to have receded of about 20 km2 since 12 November 2020. Based on Worldpop population data and the detected surface waters, about 140,000 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 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 12, 2020-November 12, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 5,000 km2, a total of about 250 km2 of lands appear to be flooded. The water extent appears to have increased of about 130 km2 since 6 November 2020. Based on Worldpop population data and the detected surface waters, about 170,000 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 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 [?]: November 12, 2020-November 12, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in Calauag and Lopez municipalities of Quezon province of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 260 km2, a total of about 20 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 8,300 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 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 [?]: November 16, 2020-November 16, 2020 ... More
    Modified [?]: 20 December 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201111PHL This map illustrates satellite-detected surface waters in CAR and Cagayan Valley regions, Philippines as observed from a Sentinel-1 image acquired on 13 November 2020 at 17:58 local time. Within the analyzed area of about 18,000 km2, a total of about 970 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 370,000 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 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 06, 2020-November 06, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 6 November 2020 at 05:38 local time. Within the analyzed area of about 5,000 km2, a total of about 120 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 1 November 2020. Based on Worldpop population data and the detected surface waters, about 80,000 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 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.
  • 30+ Downloads
    Time Period of the Dataset [?]: November 04, 2020-November 04, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates floodwater depth in Nabua and Baao Municipalities, Camarines Sur Provinces & Bato and Libon, Albay Province, Bicol Region (Region V) of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and digital elevation model data with the floodwater depth estimation tool (FwDET). 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 04, 2020-November 04, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates floodwater depth in Floodwater depth in Bula and Minalabac municipalities, Camarines Sur Provinces, Bicol Region (Region V) of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and a digital elevation model data with the floodwater depth estimation tool (FwDET). 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 03, 2020-November 03, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates floodwater depth in Camarines Sur provinces of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and a digital elevation model data with the floodwater depth estimation tool(FwDET). 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.
  • Time Period of the Dataset [?]: November 02, 2020-November 02, 2020 ... More
    Modified [?]: 19 November 2020
    Dataset Added on HDX [?]: 19 November 2020
    This dataset updates: Never
    UNOSAT code: TC20201101PHL This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces Philippines as observed from a Sentinel-1 image acquired on 1 November 2020 at about 17:57 local time. Within the analyzed area of about 5,000 km2, a total of about 240 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 160,000 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 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 [?]: December 16, 2019-December 16, 2019 ... More
    Modified [?]: 3 June 2020
    Dataset Added on HDX [?]: 3 June 2020
    This dataset updates: Never
    UNOSAT code: TC20191202PHL This map illustrates satellite-based structural damage assessment in San Pascual municipality in the northeastern part of Masbate region, Bicol Region province, in the Philippines. The area was affected by Typhoon Kammuri that made landfall on 3 December 2019. UNITAR-UNOSAT identified 16 potentially damaged structures around San Pascual town, in the San Pascual municipality, within the extent of this map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 23, 2020-January 23, 2020 ... More
    Modified [?]: 5 March 2020
    Dataset Added on HDX [?]: 5 March 2020
    This dataset updates: Never
    A series of earthquakes occured in provinces of Cotabato (North Cotabato) and Davao del Sur, between 16 and 31 October and December 2019, respectively. These earthquakes caused significant displacement, loss of lives and extensive damage to properties and infrastructure. This data is reflects the humanitarian activities done by the government, civil society organizations, Red Cross, and UN agencies to the affected population.
  • 4500+ Downloads
    Time Period of the Dataset [?]: February 12, 2019-February 12, 2019 ... More
    Modified [?]: 4 March 2020
    Dataset Added on HDX [?]: 30 August 2017
    This dataset updates: Never
    Who What Where of Humanitarian actors/activities in Marawi Conflict as of 9 August 2019
  • 100+ Downloads
    Time Period of the Dataset [?]: January 27, 2020-January 27, 2020 ... More
    Modified [?]: 11 February 2020
    Dataset Added on HDX [?]: 28 January 2020
    This dataset updates: Never
    This data is about the completed, ongoing and planned humanitarian activities related to the Taal volcano eruption by the government, civil society organizations, clusters, Red Cross, UN agencies and private individuals to people displaced in the evacuation centres.
  • 700+ Downloads
    Time Period of the Dataset [?]: April 05, 2019-April 05, 2019 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 21 September 2018
    This dataset updates: Never
    Typhoon Mangkhut (Ompong) Who does What Where (3W) matrix
  • 200+ Downloads
    Time Period of the Dataset [?]: September 10, 2019-September 10, 2019 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 4 April 2019
    This dataset updates: Never
    Simultaneous law enforcement operations of the Armed Forces of the Philippines against non-state armed groups are reported in the provinces of Maguindanao, Lanao del Sur and Sulu since the first half of March 2019. The “Who What Where” or 3W, is vital for efficient coordination. It maintains updated information on WHO (which organizations) are doing WHAT (which activities), WHERE (in which locations) to help coordination of relief efforts to meet the immediate needs of those affected by the conflict. Such information can help to alleviate duplications, identify possible gaps, better inform decision makers, and allow everyone to ask better questions.
  • 90+ Downloads
    Time Period of the Dataset [?]: June 29, 2017-June 29, 2017 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 30 June 2017
    This dataset updates: Never
    Number of IDPs affected by Marawi Conflict by municipality
  • 70+ Downloads
    Time Period of the Dataset [?]: January 11, 2018-January 11, 2018 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 11 January 2018
    This dataset updates: Never
    Tropical Storm Tembin (Vinta) Who What Where
  • 90+ Downloads
    Time Period of the Dataset [?]: May 31, 2017-December 31, 2018 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 4 February 2019
    This dataset updates: Never
    Marawi Conflict IDP and returned figures by month and region from May 2017- present. Data from Task Force Bangon Marawi Regional Subcommittee on Health and Social Welfare.
  • 700+ Downloads
    Time Period of the Dataset [?]: November 04, 2016-November 04, 2016 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 7 November 2016
    This dataset updates: Never
    Who is doing what and where in Philippines for Typhoon Haima (Lawin)