Satellite detected water extents in Kombo North/St Marie District, Brikama Region, Gambia as of 5 August 2022

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Imagery and land coverGambiaSource offline
Gambia

About this dataset

**UNOSAT code: FL20220801GMB** This map illustrates satellite-detected surface waters in Kombo North/St Marie District, Brikama Region, Gambia as observed from a Sentinel-2 image acquired on 5 Aug 2022 at 11:33 local time. Within the analyzed area of about 2,340 hectares, about 22 hectares of lands appear to be flooded and about 3 km of road appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Documentation

UNOSAT datasets and maps are produced using a variety of methods. In general, analysts closely review satellite imagery, often comparing two or more images together, and determine notable changes between the images. For damage assessments, refugee or IDP assessments, and similar analyses, these changes are then manually documented in the vector data by the analyst. For flood extractions, landcover mapping and similar analyses, a variety of automated remote sensing techniques are used to extract the relevant information which is then reviewed and revised as necessary by the analyst. In all cases, resulting data is then loaded into a standardized UNOSAT geodatabase and exported asshapefiles for dissemination. This is a preliminary assessment and has not yet been validated in the field. It is important to consider the characteristics of the source imagery used in the analyses when interpreting results. For damage assessments it should be noted that only significant damage to the structural integrity of the buildings analyzed can be seen in imagery, while minor damage such as cracks or holes may not be visible at all. For flood extractions using radar data it is important to note that urban areas and highly vegetated areas may mask the flood signature and result in underestimation of flood waters. Users with specific questions or concerns should contact unosat@unitar.org to seek clarification.

Related datasets

✦ Suggested by OrionAI
Satellite detected water extents in Banjul, Kanifing, and Brikama Regions, Gambia as of 10 August 2022

**UNOSAT code: FL20220801GMB** This map illustrates satellite-detected surface waters in Satellite detected water in Banjul, Kanifing, and Brikama Regions, Gambia as observed from a Sentinel-2 image acquired on 10 Aug 2021 at 18:18 local time. Within the analyzed cloud free zones of about 960 km2, about 26 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 districts of Kanifing with ~ 7,300 people, Kombo North/St Marie with ~ 7,000 and Kombo South with ~ 4,100 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).

Water · United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Juba Hoose and Juba Dhexe Region, Somalia, 3 December 2023

**UNOSAT code: FL20231105SOM** This map illustrates satellite-detected surface waters in Juba Hoose and Juba Dhexe Region, Somalia as observed from a Sentinel-2 image acquired on 3 December 2023 at 07:39 UTC. Within the analysed area of about 20,000 km2 about 1,300 km2 of land appears to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 16 October 2019 over MayoDanay and Logone-et-Chari Department, Far-North Region

**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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Red Sea District as of 15 August 2019

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water in the eastern part of the Red Sea district in Sudan as observed from Sentinel-2 image acquired on 15 August 2019. Within the analysed area of 1,500km2, 232 km2 of lands appear to be flooded as of 15 August 2019. This is a preliminary analysis and has not yet validated in the field. Please send your ground feedback to UNITAR-UNOSAT

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Saint Elizabeth Parish, Jamaica as of 07 July 2024

**UNOSAT code: TC20240702JAM, GDACS ID: 1001067** This map illustrates satellite-detected water extent in Saint Elizabeth Parish as observed from a Sentinel-2 image acquired at 10:48 local time. Within the analysed area of about 1,200 km², a limited extent of 13 km² of lands appear to be affected with flood waters. 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 11 October 2019 over Logone-et-Chari Department, Far-North Region of Cameroon

**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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)

Indexed by OrionGIS from Humanitarian Data Exchange (HDX). Data is loaded from the publisher's own server when you use it. Permanent link