Thumbnail Image

Damage to cropland categories due to the conflict in the Gaza Strip as of 1 September 2024

Year of publication 2024

Place of publication Rome, Italy ;

Pages 1 p.

Author FAO; UNITAR ;

Publisher FAO ;

Product type Brochure, flyer, fact-sheet

Synopsis (short abstract) A cropland category mask was generated using very high-resolution satellite imagery from SPOT and Pléiades, combined with high-resolution data from Sentinel-2. Sentinel-2 imagery from August 2017 to 2023 was used as a baseline for comparison with data from August 2024 (1st of September 1st) to assess damage within each cropland category.

Language English

Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Damage to cropland due to the conflict in the Gaza Strip as of 1 September 2024 2024
    Also available in:
    No results found.
    A cropland mask was generated using very high-resolution satellite imagery from SPOT and Pléiades, along with high-resolution data from Sentinel-2. Sentinel-2 imagery from August 2017 to 2023 was used as a baseline for comparison with data from August 2024 (1st of September) to assess cropland damage.
  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025 2025
    Also available in:
    No results found.
    A cropland category mask was prepared using very high-resolution satellite data from SPOT, WorldView-2 and Pléiades multispectral and panchromatic imagery, along with Sentinel-2 to analyse the damage to cropland. Sentinel-2 data from the month of April from 2018 to 2024 was used as a baseline for comparison with April 2025 data conduct cropland change analysis of the cropland category mask area.
  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Damage to cropland categories due to the conflict in the Gaza Strip as of 28 September 2025 2025
    Also available in:
    No results found.
    A cropland category mask was prepared using very high-resolution satellite data from SPOT, WorldView-2 and Pléiades multispectral and panchromatic imagery, along with Sentinel-2 to analyse the damage to cropland. Sentinel-2 data from the month of September from 2017 to 2023 was used as a baseline for comparison with September 2025 data conduct cropland change analysis of the cropland category mask area.
Show more

Users also downloaded

Showing related downloaded files

No results found.