Satellite detected water extents Alcobaca, Prado & Itamaraju municipalities, State of Bahia, Brazil

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)WaterBrazil
Brazil

About this dataset

**UNOSAT code: FL20211213BRA** This map illustrates satellite-detected surface waters in Alcobaca, Prado and Itamaraju municipalities, State of Bahia, Brazil as observed from Sentinel-2 image acquired on 11 Dec. 2021 & Sentinel-1 image acquired on 09 Dec. 2021. Within the analyzed area of about 300,000 ha, about 13,500 ha of lands appear to be flooded. Along the Jucuruçu river, mainly agricultural lands appear to be 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 and densely vegetated areas due to backscattering properties of the radar signal.

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 over Maputo province, Mozambique as of 27 March 2024

**UNOSAT code: TC20240313MOZ, GDACS ID: 1001053** This map illustrates satellite detected surface waters in Maputo province, Mozambique, as observed from a Sentinel-1 images acquired on 27 March 2024 at 18:23 local time (16:23 UTC). Within the analyzed areas of about 2,000 km², a total of about 45 km² of lands appear to be 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 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 extent over Gaza and Maputo provinces, Mozambique, as of 16 Mar. 2024

**UNOSAT code: TC20240313MOZ, GDACS ID: 1001053** This map illustrates satellite detected surface waters in Gaza and Maputo provinces, Mozambique, as observed from a Sentinel-1 images acquired on 16 March 2024 at 05:19 local time (03:19 UTC). Within the analyzed areas of about 5000 km², a total of about 67 km² of lands appear to be 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
ViewSave
Satellite detected waters over Cochabamba department, Bolivia

This map illustrates satellite-detected standing water over the Cochabamba department in Bolivia, as of the 10 February 2018, following the heavy rainfalls that caused severe flooding in the area. The analysis was conducted using Sentinel -1b and Radarsat-2 images as of 9, 10 and 12 February 2018 respectively. UNITAR-UNOSAT identified in the analyzed area of the Cochabamba Department, around 1,300 Ha of land seem to be inundated, which almost 35% ,450 Ha, are in the province of Punata. It is likely that flood waters have been systematically underestimated within built-up urban areas because of the special characteristics of the satellite data used. 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)
ViewSave
Satellite detected water extent over Maputo province, Mozambique, as of 23 March 2024

**UNOSAT code: TC20240313MOZ, GDACS ID: 1001053** This map illustrates satellite detected surface waters in Maputo province, Mozambique, as observed from a Sentinel-1 images acquired on 23 March 2024 at 05:19 local time (03:19 UTC). Within the analyzed areas of about 950 km², a total of about 10 km² of lands appear to be 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
ViewSave
Satellite detected water extent in Juba Dhexe and Jhuba Hoose Regions, Somalia as of 07 November 2023

**UNOSAT code FL20231105SOM** This map illustrates satellite-detected surface waters in Bu'aaler and Saakow District, Juba Dhexe Region and Afmadow District, Juba Hoose Region Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the analysed area of about 7,600 km², about 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 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 extent as of 13 July 2020 over Province 2 of Nepal

**UNOSAT code: FL20200708NPL** This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a Sentinel-1 image acquired on 13 July 2020 due to the current monsoon rains. Within the analyzed area of about 2,300 km2, a total of about 200 km2 of lands 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 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

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