Satellite detected water extent in Region 9 - Upper Takutu-Upper Essequibo, Guyana as of 16 August 2021
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✦ Suggested by OrionAI**UNOSAT code: FL20210520GUY** This map illustrates satellite-detected surface waters along the Rupununi river in Upper Takutu-Upper Essequibo Region of Guyana as observed from Sentinel-1 image acquired on 12 June 2021 at 09:45 UTC. Within the analyzed area of about 6,500 km2, a total of about 235 km2 of lands were observed as flooded and the road about 26 km are potentially affected by the floods. This is a preliminary analysis that 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.
**UNOSAT code: FL20210520GUY** This map illustrates satellite-detected surface waters in Guyana as observed from a Joint VIIRS-ABI flood product acquired on 6 & 8 June 2021. Within the analyzed cloud free zones of about 140,000 km2, a total of about 2,000 km2 of lands appear to be flooded. The overall water extent as detected on the 8 June 2021 appears to have decreased of about 1,000 km2 since 6 June 2021. Based on Worldpop population data and the detected surface waters, about 30,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the Region 6 with ~10,000 people and Region 2 & 5 with ~6,000 people each. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
**UNOSAT code: FL20220526GUY** This map illustrates satellite-detected surface waters along the Rupununi river in Upper Takutu-Upper Essequibo Region of Guyana as observed from a Sentinel-1 image acquired on 26 May 2022 at 09:45 UTC. Within the analyzed area of about 14,000 km2, a total of about 320 km2 of lands were observed as flooded. 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas
**UNOSAT code: FL20210520GUY** This map illustrates cumulative floods using NOAA20-VIIRS data in Guyana between the 2nd and the 6th of June 2021. Within the analyzed cloud free zones of about 200,000 km2, a total of about 5,000 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 80,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the Region 6 with ~22,000 people, Region 3 with ~19,000 and Region 5 with ~15,000 people. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
**UNOSAT code: FL20220526GUY** This map illustrates cumulative satellite-detected water using VIIRS in Guyana between 25 to 29 May 2022 compared with the period from 20 to 24 May 2022. Within the cloud free analyzed areas of about 205,000 km2, a total of about 3,900 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,200 km2 since the period between 20 to 24 may 2022. Based on Worldpop population data and the maximal flood water coverage, ~22,000 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 the United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20210520GUY** This map illustrates satellite-detected surface waters along the Berbice river in Upper Demerara-Berbice Region of Guyana as observed from RCM-2 radar image acquired on 07 June 2021 at 22:21 UTC. Within the analyzed area of about 38,000 ha, a total of about 48 ha of lands were observed as flooded. This is a preliminary analysis that 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.
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