Data Datasets [20793] | Archived Datasets[2898] [?]
Refine your search: Clear all
Featured:
Data series [?]:
More
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • Time Period of the Dataset [?]: November 20, 2019-November 20, 2019 ... More
    Modified [?]: 22 November 2019
    Dataset Added on HDX [?]: 22 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flood waters along the Ubangi River over Libenge, Libenge Territory, Sud-Ubangi Province in Democratic Republic of the Congo as observed from Pleiades imagery acquired on 15 November 2019. 90 ha of potential flood waters have been identified in Libenge and its vicinity. 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 [?]: November 20, 2019-November 20, 2019 ... More
    Modified [?]: 22 November 2019
    Dataset Added on HDX [?]: 22 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 1,950 km2, a total about 4 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. Important note: Flood analysis from SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Time Period of the Dataset [?]: November 20, 2019-November 20, 2019 ... More
    Modified [?]: 22 November 2019
    Dataset Added on HDX [?]: 22 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka and Basse-Kotto Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 940 km2, a total about 3 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. Important note: Flood analysis from SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Time Period of the Dataset [?]: November 20, 2019-November 20, 2019 ... More
    Modified [?]: 22 November 2019
    Dataset Added on HDX [?]: 22 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Basse-Kotto Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 425 km2, a total about 2 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. Important note: Flood analysis from SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.
  • Time Period of the Dataset [?]: November 19, 2019-November 19, 2019 ... More
    Modified [?]: 22 November 2019
    Dataset Added on HDX [?]: 22 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected floodedwaters along the Ubangui River over Zongo, Libenge Territory, Sud-Ubangi Territory in Democratic Republic of the Congo as observed from GeoEye-1 imagery acquired on 12 November 2019. UNITAR-UNOSAT has identified 58 ha of potentially flood waters north-west of Zongo. 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 [?]: November 19, 2019-November 19, 2019 ... More
    Modified [?]: 22 November 2019
    Dataset Added on HDX [?]: 22 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flooded structures along the Ubangui River over Libenge, Libenge Territory, Sud-Ubangui Territory in Democratic Republic of the Congo as observed from Pleiades imagery acquired on 15 November 2019. UNITAR-UNOSAT identified 22 potentially flooded structures west of Libenge, 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.
  • Time Period of the Dataset [?]: November 18, 2019-November 18, 2019 ... More
    Modified [?]: 22 November 2019
    Dataset Added on HDX [?]: 22 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191118COD This map illustrates satellite-detected flooded structures along the Ubangui River over Zongo, Libenge Territory, Sud-Ubangui Territory in Democratic Republic of the Congo as observed from GeoEye-1 imagery acquired on 12 November 2019. UNITAR-UNOSAT has identified within the extent of this map 276 potentially flooded structures north-west of Zongo. 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 [?]: November 13, 2019-November 13, 2019 ... More
    Modified [?]: 18 December 2019
    Dataset Added on HDX [?]: 14 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka Prefecture of Central African Republic, as observed from Sentinel-1 imagery acquired on 5 November 2019. Within the analysed extent of about 2,000 km2, a total about 10 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. Important note: Flood analysis with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.
  • Time Period of the Dataset [?]: November 13, 2019-November 13, 2019 ... More
    Modified [?]: 18 December 2019
    Dataset Added on HDX [?]: 14 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface water in Ouaka and Basse-Kotto Prefectures of the Central African Republic, as observed from Sentinel-1 imagery acquired on 5 November 2019. Within the analysed extent of about 970 km2, a total about 9 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. Important note: Flood analysis with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.
  • Time Period of the Dataset [?]: November 13, 2019-November 13, 2019 ... More
    Modified [?]: 18 December 2019
    Dataset Added on HDX [?]: 14 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191028CAF This map illustrates satellite-detected surface waters in Basse-Kotto Prefecture of the Central African Republic, as observed from Sentinel-1 imagery acquired on 5 November 2019. Within the analysed extent of about 390 km2, a total of about 7 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. Important note: Flood analysis with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.
  • 20+ Downloads
    Time Period of the Dataset [?]: November 13, 2019-November 13, 2019 ... More
    Modified [?]: 14 November 2019
    Dataset Added on HDX [?]: 14 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191030SOM This map illustrates the extent of surface waters detected over Hiraan, Middle Shabelle and Lower Shabelle Region in Somalia as detect by VIIRS-NOAA satellite between 2 & 6 November 2019. In the analysed area, a total of about 830 km2 are likely flooded and about 74,000 people might be exposed by taking into account WorldPop population estimates. About 10 km of the roads seem to be affected. 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 [?]: November 13, 2019-November 13, 2019 ... More
    Modified [?]: 14 November 2019
    Dataset Added on HDX [?]: 14 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191023SSD This map illustrates the 5-day cumulative, day-time surface water extent detected over Luakpiny/Nasir, Pibor and neighbouring counties in South Sudan. The extent was derived from VIIRS-NOAA satellite imagery between 2 and 6 November 2019 and includes all pixels with 0-100% open water. In the two counties of interest, about 9% of the population in Luakpiny/Nasir and 7% in Pibor may be affected by taking into account WorldPop population estimates. This is a preliminary analysis that has not yet been validated in the field. Please send any fieldbased comments to UNITAR-UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 05, 2019-November 05, 2019 ... More
    Modified [?]: 14 November 2019
    Dataset Added on HDX [?]: 14 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191030SOM This map illustrates the satellite-detected flood water extent and IDP distribution within the town of Belet Weyne in Belet Weyne District, Hiiran Region, Somalia. The analysis was conducted by analyzing WorldView-1 images acquired on the 1 November 2019. As observed from the satellite image, the town of Belet Weyne is heavily affected by floods. Around 60% of the vicinity of the town is completely inundated; the districts of Hawa tako, Kutimbo, and the Lamagalay Regional Millitary Base completely submerged in water. More than 110 IDP sites are located inside of the town and 40% of them are located within completely flooded areas. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 05, 2019-November 05, 2019 ... More
    Modified [?]: 13 November 2019
    Dataset Added on HDX [?]: 13 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191030SOM This map illustrates the extent of surface waters detected over Jowhar District, Middle Shabelle Region located in Somalia, as detect by VIIRS-NOAA satellite between 30 October & 3 November 2019. In the analysed area, a total of about 700 km2 are likely flooded and about 70,000 people may be affected, based on WorldPop population estimates. The 10 km of roads seem to be affected. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: November 04, 2019-November 04, 2019 ... More
    Modified [?]: 13 November 2019
    Dataset Added on HDX [?]: 13 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191031KEN This map illustrates satellite-detected surface water in Garsen Sub County, Tana River County of Kenya as observed from Sentinel-2 imagery acquired on 28 October 2019. Within the analysed extent of about 150 km2, a total about 12 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 04, 2019-November 04, 2019 ... More
    Modified [?]: 13 November 2019
    Dataset Added on HDX [?]: 13 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191031KEN This map illustrates satellite-detected surface water in Wajir East Sub County, Wajir County of Kenya as observed from Sentinel-2 imagery acquired on 2 November 2019. Within the analysed extent of about 200 km2, a total of about 7 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: November 02, 2019-November 02, 2019 ... More
    Modified [?]: 13 November 2019
    Dataset Added on HDX [?]: 13 November 2019
    This dataset updates: Never
    UNOSAT code: FL20191031KEN This map illustrates satellite-detected surface water in Wajir East Sub County, Wajir County of Kenya as observed from Sentinel-2 imagery acquired on 28 October 2019. Within the analysed extent of about 450 km2, a total of about 25 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: October 31, 2019-October 31, 2019 ... More
    Modified [?]: 6 December 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    UNOSAT code: FL20191030SOM This map illustrates satellite-detected surface water in Beled Weyne District, Hiraan Region in Somalia analyzed with Sentinel-1 imagery acquired on 30 October 2019. Within the analysed extent of about 2,500 km2, a total of about 155 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. Important note: Flood analysis based on Sentinel-1 imagery may significantly underestimate the presence of standing floodwater in dense built-up areas due to backscattering of the radar signal.
  • 30+ Downloads
    Time Period of the Dataset [?]: October 31, 2019-October 31, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    UNOSAT code: FL20191029TGO Cette carte illustre l'étendue des eaux de surface détectées par images satellite (Sentinel-1, image du 26 Octobre 2019) à dans la préfecture de Lacs et alentours, Région Maritime, Togo. Dans la zone analysée d'environs 250,000 ha, environ 8,000 personnes sont potentiellement exposées aux 4060 ha d'eaux de surface détectées le 26 Octobre 2019. Ceci est une image préliminaite qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires à UNITAR-UNOSAT.
  • 30+ Downloads
    Time Period of the Dataset [?]: October 25, 2019-October 25, 2019 ... More
    Modified [?]: 6 December 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    UNOSAT code: FL20191023SSD This map illustrates satellite-detected surface water in Unity, Jonglei and Lakes State of South Sudan as observed from Sentinel-1 imagery acquired on 23 October 2019. Within the analysed extent of about 85,000 km2, a total about 1,180 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. Important Note: Flood analysis from Sentinel-1 imagery acquired on 23 October 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal
  • 30+ Downloads
    Time Period of the Dataset [?]: October 22, 2019-October 22, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Akkar, Tartous and Homs Governorates, in Lebanon and Syria, based on SPOT-6 imagery acquired on 21 October 2019. Approximately 549 ha of potentially burned areas were detected by UNOSAT as of 21 October 2019 (red). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: October 22, 2019-October 22, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    UNOSAT code: FL20191017CMR This map illustrates satellite-detected surface water in Mayo-Danay and Logone-et-Chari Department, Far-North Region of Cameroon as observed from Sentinel-2 imagery acquired on 16 October 2019. Within the analysed extent of about 2,500 km2, a total about 211 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.
  • 50+ Downloads
    Time Period of the Dataset [?]: October 21, 2019-October 21, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Aley and Chouf districts, in Lebanon, based on SPOT-6 imagery acquired on 19 October 2019. Approximately 1275 ha of potentially burned areas were detected by Copernicus-EMS as of 17 October 2019 (orange) and additional 92 ha of burned were detected by UNOSAT as of 19 October 2019 (red), which is equivalent to approximately 7% increase in affected surface area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: October 21, 2019-October 21, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in South and El Nabatieh Governorates, in Lebanon, based on SPOT-6 imagery acquired on 19 October 2019. Approximately 80 ha of potentially burned area were detected by UNOSAT as of 19 October 2019 (red), This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: October 18, 2019-October 18, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    UNOSAT code: FL20191017CMR This map illustrates satellite-detected surface water in Mayo-Danay and Logone-et-Chari Department, Far-North Region of Cameroon as observed from Sentinel-2 imagery acquired on 11 October 2019. Within the analysed extent of about 7,200 km2, a total about 1,500 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.