Satellite detected waters in Ivano-Frankivska and Ternopilska Oblast of Ukraine as of 24 June 2020

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Imagery and land coverUkraine
Ukraine

About this dataset

**UNOSAT code: FL20200626UKR** This map illustrates satellite-detected surface waters in Ivano-Frankivska and Ternopilska Oblastof Ukraine as observed from a Sentinel-1 image acquired on 24 June 2020. Within the ana lyzed area of about 642 km2, a total of a bout 35 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 .

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 Waters over Khersonska Oblast in Ukraine as of 09 June 2023

**UNOSAT code FL20230606UKR** This map illustrates satellite-detected surface waters using Sentinel-1 images acquired on the 09th of June 2023 at 15:36 UTC. Within the analysed area of 20,000 km², surface waters appear to have receded of about 220 km². 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 Extent and Evolution over Khersonska Oblast in Ukraine as of 09 June 2023

**UNOSAT code FL20230606UKR** This map illustrates satellite-detected surface waters evolution using Sentinel-1 images acquired on the 09th of June 2023 at 15:36 UTC and compared with surface waters extracted using ICEYE acquired on the 07th of June 2023 compared with a pre-flood water extracted using a Sentinel-2 images acquired on the 03rd and the 05th of June 2023. Within the analysed area of 500 km², surface waters appear to have receded by about 14 km². 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 over Zaporizhzhia Power Plant, Zaporizka Oblast in Ukraine as of 09 June 2023

**UNOSAT code FL20230606UKR** This map illustrates satellite-detected surface waters using Sentinel-1 images acquired on the 09th of June 2023 at 15:36 UTC. Within the analysed area of 260 km², along the Dnieper River, surface waters appear to have receded by about 12km². The water level of the cooling pond seems to be stable as of 09 June 2023. 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 water extent over Khersonska Oblast, Ukraine as of 06 June 2023

**UNOSAT code FL20230606UKR** This map illustrates satellite-detected surface waters over Khersonska Oblast, Ukraine observed from a Sentinel-3 image acquired on 6 June 2023 at 08:30 UTC; and a Sentinel-2 image acquired on 3 & 5 June 2023. Within the analysed area of 19,000 km², about 120 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Flood water Extent between the Nova Kakhovka Dam Wall and the Dnipro River mouth, Khersonska Oblast, Ukraine as of 21 June 2023

**UNOSAT code FL20230606UKR** This map illustrates satellite-detected flood waters along the 90km downstream of Dnipro River between the damaged Nova Kakhovka Dam wall and the Dnipro River mouth in Ukraine as observed from a Sentinel-1 images acquired on 21 June 2023 at 15:36 UTC. Within the analysed area of about 10,800 km², about 20 km² of land appear to remain 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).

Water · United Nations Satellite Centre (UNOSAT)
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)

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