Satellite detected water extents over Lambayeque and Piura Province Provinces, Peru as of 1 April 2023
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✦ Suggested by OrionAI**UNOSAT code EQ20230321PER, GDACS Id: 1365556** This map illustrates satellite-detected water using Sentinel-2 acquired on 22 March 2023, 10:36 local time over Lambayeque and Piura Provinces, Peru. Within the cloud free analyzed areas of about 16,000 km², a total of about 1,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and flood water extent, ~13,500 people in Lambayeque district are potentially exposed or living close to flooded areas and ~6,300 people in Lambayeque district. 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 FL20230321PER, GDACS Id: 1365556** This map illustrates satellite-detected water using Sentinel-2 acquired on 30 March 2023, 10:52 local time over Tumbes and Zarumilla Districts, Tumbes Province, Peru. Within the cloud free analyzed areas of about 900 km², a total of about 11 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood water extent, ~2,400 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: FL20210630NPL** This map illustrates satellite-detected surface waters in Province 1 and 2 as observed from a Sentinel-1 image acquired on 1 July 2021 at 05:58 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 110,000 km2 and, about 645km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 700,000 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.
**UNOSAT code: FL20240928NPL** This map illustrates the floods using Sentinel-2 images acquired on 01 & 06 October 2024 at 10:42 local time (04:57 UTC). Within the analysed area of about 18,000 km², a total of about 300 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 115,000 people are 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: FL20250630PAK** This map illustrates the satellite detected water extent in Sindh, Balochistan and Punjab Provinces, Pakistan as observed from Sentinel-2 satellite images acquired on 1 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 84,000 km², about 2,100 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 600,000 people are potentially exposed or living close to the 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 FL20220808PAK, GDACS Id: 1101522** This map illustrates satellite-detected surface waters in Sindh Province, Pakistan as observed from a Sentinel-2 image acquired on 31 August 2022 at 10:56 local time. Within the analyzed area of about 25,000 km2, about 11,300 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 4.6 million 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).
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