Satellite detected water extent in Saint Elizabeth Parish, Jamaica as of 07 July 2024

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Imagery and land coverAmericas
Americas

About this dataset

**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).

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 extent in Kingston, Saint Catherine and Saint Andrew Parishes, Jamaica as of 04 July 2024

**UNOSAT code: TC20240702JAM, GDACS ID: 1001067** This map illustrates satellite-detected water extent in Kingston, Saint Catherine and Saint Andrew Parishes as observed from a TerraSAR-X image acquired at 06:03 local time. Within the analysed area of about 1,450 km², a limited extent of 5 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). 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
ViewSave
Satellite detected water extents in Kombo North/St Marie District, Brikama Region, Gambia as of 5 August 2022

**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).

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

satellite imagery by Atlas Logistique / UNDAC, acquired 2025-11-21 to 2025-11-21, 2.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Atlas Logistique / UNDAC
ViewSave
Satellite detected water extent over Juba County, Central Equatoria Province, South Sudan as of 06 May 2024

**UNOSAT code: FL20240425SSD** This map illustrates satellite-detected water in Juba City, Juba County, Central Equatoria Province, South Sudan, as observed from a Sentinel-2 image acquired on 06 May 2024 at 10:06 local time (08:06 UTC). Within the analysed area of about 64,000 km², a total of about 37 km² of land appears 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)
ViewSave
Satellite detected water extents in Mananjary and Nosy-Varika Districts, Madagascar as of 24 February 2022

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Mananjary and Nosy-Varika Districts, Vatovavy Fitovinany Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 800km2, a total of about 105 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 13,400 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 United Nations Satellite Centre (UNOSAT).

Water · United Nations Satellite Centre (UNOSAT)
ViewSave
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)
ViewSave

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