UNOSAT Gaza Strip Agricultural Damage Analysis 1km Stretch of Land from the Armistice Demarcation Line - April 2024
The Centre for Humanitarian Data
·
2024
Full Details
Tip: Check “Visit Source” link for download options.
Full Details
Title
UNOSAT Gaza Strip Agricultural Damage Analysis 1km Stretch of Land from the Armistice Demarcation Line - April 2024
Description
**UNOSAT code: CE20231007PSE** This map illustrates satellite-detected changes in agricultural areas in a stretch of land 1 km from the Armistice Demarcation Line in the Gaza Strip, Occupied Palestinian Territory. UNOSAT conducted an analysis utilising Sentinel-2 satellite imagery captured between January 2018 and 2024, performing a Normalised Difference Vegetation Index (NDVI) analysis as well as a multi-temporal classification to identify notable changes in agricultural areas during that time frame. The decline in the health and density of the crops can be observed due to the impact of activities such as razing, heavy vehicle activity, bombing, shelling, and other conflict-related dynamics. The analysis includes damage assessment for permanent crop fields, arable land, and fallow lands. UNOSAT analysis and statistics presented show the damaged agricultural area in sq km, percentage and percentage change for only the area contained within the zone. Statistical analysis shows an increase on the percentage of damaged agricultural land in October 2023 from 5.36% to 33.13% of damaged land in February 2024.
Creator
UN Operational Satellite Applications Programme (UNOSAT)
Publisher
The Centre for Humanitarian Data
Temporal Coverage
2024-04-11
Date Issued
2024-04-12
License
http://www.opendefinition.org/licenses/cc-by-sa
Access Rights
Public
Date Added
May 31, 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 Agricultural Damage Analysis 1km Stretch of Land from the Armistice Demarcation Line - April 2024. The Centre for Humanitarian Data. https://data.humdata.org/dataset/96c72f68-d1bd-4ea3-8c79-df21183a692b (dataset)