UNOSAT Gaza Strip Comprehensive Damage Assessment - September 2024
The Centre for Humanitarian Data
·
2024
Full Details
Tip: Check “Visit Source” link for download options.
Full Details
Title
UNOSAT Gaza Strip Comprehensive Damage Assessment - September 2024
Description
**UNOSAT code: CE20231007PSE** This map illustrates a satellite imagery-based comprehensive assessment of damage and destruction to structures within the area of interest in the Gaza Strip, Occupied Palestinian Territory, based on images collected on 3 and 6 September 2024 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, 7 November 2023, 26 November 2023, 6-7 January 2024, 29 February 2024, 31 March - 1 April 2024, 3 May 2024, and 6 July 2024. According to satellite imagery analysis, UNOSAT identified 52,564 destroyed structures, 18,913 severely damaged structures, 56,710 moderately damaged structures, and 35,591 possibly damaged structures for a total of 163,778 structures. These correspond to around 66% of the total structures in the Gaza Strip and a total of 227,591 estimated damaged housing units. The governorates of Khan Yunis and Rafah have experienced the highest rise in damage compared to the 6 July 2024 analysis, with around 1,470 new structures damaged in Khan Yunis and around 3,770 in Rafah. Within Rafah, Rafah City municipality had the highest number of newly damaged structures, totalling 3,289. This is a preliminary analysis and has not yet been validated in the field.
Creator
UN Operational Satellite Applications Programme (UNOSAT)
Publisher
The Centre for Humanitarian Data
Temporal Coverage
2024-09-29
Date Issued
2024-09-30
License
http://www.opendefinition.org/licenses/cc-by-sa
Access Rights
Public
Date Added
November 01, 2024
Provenance Statement
The metadata for this resource was last retrieved from Humanitarian Data Exchange on 2025-08-23.
UN Operational Satellite Applications Programme (UNOSAT) (2024). UNOSAT Gaza Strip Comprehensive Damage Assessment - September 2024. The Centre for Humanitarian Data. https://data.humdata.org/dataset/a3a29398-607e-4e4f-afa2-d61578ea22ea (dataset)