Occupied Palestinian Territory GIS data

geoBoundaries ADM0 boundaries for State of Palestine: 1 units, representing 2021. Source: raster2polygon from Sentinel-2 10m Land Cover where Image Year = 2021 / exclude gridcode = 1 (water) / dissolve / erase adm0 overlap / processed by IMB.

uav imagery by WebODM, acquired 2025-05-04 to 2025-05-04, 2.0 cm per pixel, published on OpenAerialMap.

geoBoundaries ADM2 boundaries for State of Palestine: 16 units, representing 2017. Source: Open Data Watch.

geoBoundaries ADM1 boundaries for State of Palestine: 2 units, representing 2021. Source: geoBoundaries, Open Data Watch.

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name State of Palestine **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 0.0 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.0 million km (nan%) - Unpaved roads: 0.0 million km (nan%) About 0.0 million km (nan%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0 million km (nan%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org

State of Palestine administrative level 0-2 boundaries (COD-AB) dataset version 01. This dataset is structured into 2 levels: - Admin 1: 2 Territory or Region? - Admin 2: 16 Governorate Dates associated with this dataset: - 24 December 2024: dataset reviewed for accuracy and completeness - 19 October 2023: valid for use by the humanitarian community - 28 September 1995: last edit to the dataset before publishing - 28 September 1995: boundaries created by the source Contributed by OCHA occupied Palestinian territory (oPt). Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

This dataset contains annual, 100m-resolution above ground biomass (AGB) estimates from CTrees, a NASA-affiliated forest-carbon monitoring organization, clipped to this country's boundary from CTrees' global AGB raster. Pixel values are stored as int16, scaled x10 relative to the true value in megagrams per hectare (Mg/ha) -- divide by 10 to get Mg/ha. See the caveats field and resource description for details on how this scale factor is recorded and why it isn't applied automatically by most tools.

Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: tourism, amenity, historic, heritage - Part of the country exports on HDX by HOT

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, shop, tourism, man_made - Part of the country exports on HDX by HOT

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT

Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

Damage to field crops due to the conflict in Gaza as of 30 April 2025. A reduction in cropland greenness was considered as an abrupt change and an indication of damage. The severity of the impact on field crops was determined by calculating the percentage and hectares of the damaged area by governorate. This map depicts the severity of damage in localized areas for field crops. In each hexagon the area of damaged field crops was divided by the total field crops area. **Data creation:** 2025-04-30 **Supplemental Information:** Datasets for damage to tree horticultures and vegetables categories are also available, along with the aggregated dataset on cropland: Damage to tree horticultures (Gaza, Palestine - April 2025) Damage to vegetables land (Gaza, Palestine - April 2025) Damage to cropland (Gaza, Palestine - April 2025) More information on the damage to cropland and cropland categories can be found in the following fact-sheets: - Damage to cropland due to the conflict in the Gaza Strip as of 30 April 2025 - Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025 **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** 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 to conduct cropland change analysis of the cropland category mask area. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Damage to field crops (Gaza, Palestine - April 2025) Download: Gaza Strip damage assessments as of April 2025 (Excel tables) Fact-sheet: Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025

The area available for cultivation is the area that is not damaged and not subject to access restrictions. The damaged area is assessed based on the baseline cropland dataset for 2023, and the cropland damage assessment as of 30 March 2025 by FAO and UNOSAT. The area accessible is determined by excluding the so-called “no-go” areas in place (OCHA, April 2025), and the areas subject to evacuation orders as of 12 April 2025. **Data creation:** 2025-04-30 **Supplemental Information:** More information can be found at https://openknowledge.fao.org/handle/20.500.14283/cd5442en **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** Land availability for cultivation was assessed using two datasets: (1) the status of damaged cropland from UNOSAT as of March 2025, which includes both damaged and non-damaged areas, and (2) non-accessible areas, comprising (a) no-go zones and (b) areas under evacuation orders, based on OCHA data as of April 2025. The cropland damage status was derived from Sentinel-2 imagery, using data from March 2018 to 2024 as a baseline for comparison with March 2025 to conduct cropland change analysis. The data was classified by accessibility at the governorate level and includes information on the extent of cropland damage. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Land availability for cultivation (Gaza, Palestine - April 2025) - Shapefile Download: Gaza Strip damage assessments as of April 2025 (Excel tables) Fact-sheet: Land availability for cultivation in the Gaza Strip as of April 2025

Damage to cropland due to the conflict in Gaza as of 30 April 2025. A reduction in cropland greenness was considered as an abrupt change and an indication of damage. The severity of the impact on cropland was determined by calculating the percentage and hectares of the damaged area by governorate. The map depicts the severity of damage in localized areas. In each hexagon the area of damaged cropland was divided by the total cropland area. **Data creation:** 2025-04-30 **Supplemental Information:** The disaggregated datasets for each cropland category are also available: Damage to field crops (Gaza, Palestine - April 2025) Damage to tree horticultures (Gaza, Palestine - April 2025) Damage to vegetables land (Gaza, Palestine - April 2025) More information on the damage to cropland and cropland categories can be found in the following fact-sheets: - Damage to cropland due to the conflict in the Gaza Strip as of 30 April 2025 - Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025 **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** A cropland mask was prepared using very high-resolution satellite data from SPOT and Pléiades, and high-resolution data from Sentinel-2 to analyze 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 to conduct cropland change analysis of the cropland mask area. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Damage to cropland (Gaza, Palestine - April, 2025) Download: Gaza Strip damage assessments as of April 2025 (Excel tables) Fact-sheet: Damage to cropland due to the conflict in the Gaza Strip as of 30 April 2025

Damage to tree horticultures due to the conflict in Gaza as of 30 April 2025. A reduction in cropland greenness was considered as an abrupt change and an indication of damage. The severity of the impact, in particular on orchards and other trees was determined by calculating the percentage and hectares of the damaged area by governorate. This map depicts the severity of damage in localized areas for tree horticultures. In each hexagon the area of damaged tree horticultures was divided by the total tree horticultures area. **Data creation:** 2025-04-30 **Supplemental Information:** Datasets for damage to field crops and vegetables categories are also available, along with the aggregated dataset on cropland: Damage to field crops (Gaza, Palestine - April 2025) Damage to vegetables land (Gaza, Palestine - April 2025) Damage to cropland (Gaza, Palestine - April 2025) More information on the damage to cropland and cropland categories can be found in the following fact-sheets: - Damage to cropland due to the conflict in the Gaza Strip as of 30 April 2025 - Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025 **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** 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 to conduct cropland change analysis of the cropland category mask area. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Damage to tree horticultures (Gaza, Palestine - April 2025) Download: Gaza Strip damage assessments as of April 2025 (Excel tables) Fact-sheet: Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025

Damage to vegetables land due to the conflict in Gaza as of 30 April 2025. A reduction in cropland greenness was considered as an abrupt change and an indication of damage. The severity of the impact on vegetables was determined by calculating the percentage and hectares of the damaged area by governorate. This map depicts the severity of damage in localized areas for vegetables. In each hexagon the area of damaged vegetables was divided by the total vegetables area. **Data creation:** 2025-04-30 **Supplemental Information:** Datasets for damage to field crops and orchards and tree horticultures categories are also available, along with the aggregated dataset on cropland: Damage to field crops (Gaza, Palestine - April 2025) Damage to tree horticultures (Gaza, Palestine - April 2025) Damage to cropland (Gaza, Palestine - April 2025) More information on the damage to cropland and cropland categories can be found in the following fact-sheets: - Damage to cropland due to the conflict in the Gaza Strip as of 30 April 2025 - Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025 **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** 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 to conduct cropland change analysis of the cropland category mask area. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Damage to vegetables (Gaza, Palestine - April 2025) Download: Gaza Strip damage assessments as of April 2025 (Excel tables) Fact-sheet: Damage to cropland categories due to the conflict in the Gaza Strip as of 30 April 2025

Damage to agricultural wells due to the conflict in Gaza as of 30 April 2025. Utilising a baseline agricultural wells layer and very high-resolution satellite imagery, FAO conducted an assessment of the number of agricultural wells damaged in the Gaza Strip as a result of the recent conflict escalation. **Data creation:** 2025-04-30 **Supplemental Information:** More information can be found at https://openknowledge.fao.org/handle/20.500.14283/cd5503en **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** The damage was estimated using Sentinel-1 SAR imagery from 4, 5, 16, 17, 28, 29 January, 9, 10, 21, 22 February, 4, 5, 16, 28, 29 March, 9, 10, 21, 22 April, 3, 4, 15, 16, 27, 28 May, 8, 9, 20, 21 June, 2, 3, 14, 15, 26, 27 July, 7, 8, 19, 20 August, 1 September, 10 October, 11, 12, 23 November, 5, 6, 17, 18, 29, 30 December, 10, 11, 22, 23 January, 3, 4, 15, 16, 27, 28 February, 11, 12, 23, 24 March, 9, 10, 16, 17, 28, 29 April. The number of damaged agricultural wells was calculated based on their location within a 15-meter radius area around a damaged site. A thorough evaluation of damage to agricultural wells was performed, overlaying the agricultural wells layer with the damage layer (damage proxy map) from 30 April 2025. The grid depicts the severity of damage in localised areas. In each tile the number of damaged agricultural wells was divided by the number of detected agricultural wells. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Damage to agricultural wells (Gaza, Palestine - April 2025) Download: Gaza Strip damage assessments as of April 2025 (Excel tables) Fact-sheet: Damage to agricultural wells due to the conflict in the Gaza Strip as of 30 April 2025

Damage to greenhouses due to the conflict in Gaza as of 30 April 2025. Utilizing a baseline greenhouse layer prepared by FAO in 2021 and very high-resolution satellite imagery, UNOSAT updated the baseline for 2023, prior to the recent conflict escalation, and conducted an assessment of the number and area of greenhouses in the Gaza Strip. **Data creation:** 2025-04-30 **Supplemental Information:** More information can be found at https://openknowledge.fao.org/handle/20.500.14283/cd5504en **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** WorldView-2 (50 cm) and WorldView-3 (30 cm) imagery from 1 May 2023, 10 May 2023, 18 September 2023 were used for pre-conflict imagery. A thorough evaluation of damage to greenhouses was performed, comparing pre-conflict imagery with very high-resolution WorldView-2 imagery from 18 April 2025 and WorldView-3 imagery from 28 April 2025. The grid depicts the damaged area of greenhouses in each tile. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Damage to greenhouse (Gaza, Palestine - April 2025) Download: Gaza Strip damage assessments as of April 2025 (Excel tables) Fact-sheet: Damage to greenhouses due to the conflict in the Gaza Strip as of 30 April 2025

Damage to agricultural infrastructure due to the conflict in Gaza as of 31 December 2024. Utilizing a baseline agricultural infrastructure layer and very high-resolution satellite imagery, FAO conducted an assessment of the number of agricultural infrastructures damaged in the Gaza as a result of the recent conflict escalation. **Data creation:** 2024-12-31 **Supplemental Information:** More information can be found at https://openknowledge.fao.org/handle/20.500.14283/cd4034en **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** The damage was estimated using Sentinel-1 SAR imagery from 4, 5, 16, 17, 28, 29 January, 9, 10, 21, 22 February, 4, 5, 16, 28, 29 March, 9, 10, 21, 22 April 3, 4, 15,16, 27, 28 May, 8, 9, 20, 21 June, 2, 3, 14, 15, 26, 27 July, 7, 8, 19, 20 August, 1 Sep, 10 October, 11,12, 23 November, 5, 6, 17, 18, 29, 30 December. The number of damaged agricultural infrastructures was calculated based on their location within a 15-meter radius area around a damaged site. A thorough evaluation of damage to agricultural infrastructure was performed, overlaying the agricultural infrastructure layer with the damage layer (damage proxy map) from 31 December 2024.The grid depicts the severity of damage in localised areas. In each tile the number of damaged agricultural infrastructures was divided by the number of detected agricultural infrastructures. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Gaza Strip damage assessments as of December 2024 (Excel tables) Fact-sheet: Damage to agricultural infrastructure due to the conflict in the Gaza Strip as of 31 December 2024

Damage to vegetables land due to the conflict in Gaza as of 31 December 2024. A reduction in cropland greenness was considered as an abrupt change and an indication of damage. The severity of the impact on vegetables land was determined by calculating the percentage and hectares of the damaged area by governorate. This map depicts the severity of damage in localized areas for vegetables land. In each hexagon the area of damaged vegetables land was divided by the total vegetables land area. **Data creation:** 2024-12-31 **Supplemental Information:** Datasets for damage to field crops and tree horticultures categories are also available, along with the aggregated dataset on cropland: Damage to field crops (Gaza, Palestine - December 2024) Damage to tree horticultures (Gaza, Palestine - December 2024) Damage to cropland (Gaza, Palestine - December 2024) More information on the damage to cropland and cropland categories can be found in the following fact-sheets: - Damage to cropland due to the conflict in the Gaza Strip as of 31 December 2024 - Damage to cropland categories due to the conflict in the Gaza Strip as of 31 December 2024 **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** 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 December from 2017 to 2023 was used as a baseline for comparison with December 2024 data to conduct cropland change analysis of the cropland category mask area. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Gaza Strip damage assessments as of December 2024 (Excel tables) Fact-sheet: Damage to cropland categories to the conflict in the Gaza Strip as of 31st of December 2024

Damage to field crops due to the conflict in Gaza as of 31 December 2024. A reduction in cropland greenness was considered as an abrupt change and an indication of damage. The severity of the impact on field crops was determined by calculating the percentage and hectares of the damaged area by governorate. This map depicts the severity of damage in localized areas for field crops. In each hexagon the area of damaged field crops was divided by the total field crops area. **Data creation:** 2024-12-31 **Supplemental Information:** Datasets for damage to tree horticultures and vegetables categories are also available, along with the aggregated dataset on cropland: Damage to tree horticultures (Gaza, Palestine - December 2024) Damage to vegetables land (Gaza, Palestine - December 2024) Damage to cropland (Gaza, Palestine - December 2024) More information on the damage to cropland and cropland categories can be found in the following fact-sheets: - Damage to cropland due to the conflict in the Gaza Strip as of 31 December 2024 - Damage to cropland categories due to the conflict in the Gaza Strip as of 31 December 2024 **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** 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 December from 2017 to 2023 was used as a baseline for comparison with December 2024 data to conduct cropland change analysis of the cropland category mask area. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Gaza Strip damage assessments as of December 2024 (Excel tables) Fact-sheet: Damage to cropland categories to the conflict in the Gaza Strip as of 31st of December 2024

Damage to tree horticultures due to the conflict in Gaza as of 31 December 2024. A reduction in cropland greenness was considered as an abrupt change and an indication of damage. The severity of the impact on tree horticultures was determined by calculating the percentage and hectares of the damaged area by governorate. This map depicts the severity of damage in localized areas for tree horticultures. In each hexagon the area of damaged tree horticultures was divided by the total tree horticultures area. **Data creation:** 2024-12-31 **Supplemental Information:** Datasets for damage to field crops and vegetables categories are also available, along with the aggregated dataset on cropland: Damage to field crops (Gaza, Palestine - December 2024) Damage to vegetables land (Gaza, Palestine - December 2024) Damage to cropland (Gaza, Palestine - December 2024) More information on the damage to cropland and cropland categories can be found in the following fact-sheets: - Damage to cropland due to the conflict in the Gaza Strip as of 31 December 2024 - Damage to cropland categories due to the conflict in the Gaza Strip as of 31 December 2024 **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** 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 December from 2017 to 2023 was used as a baseline for comparison with December 2024 data to conduct cropland change analysis of the cropland category mask area. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Gaza Strip damage assessments as of December 2024 (Excel tables) Fact-sheet: Damage to cropland categories to the conflict in the Gaza Strip as of 31st of December 2024

Damage to agricultural wells due to the conflict in Gaza as of 31 December 2024. Utilising a baseline agricultural wells layer and very high-resolution satellite imagery, FAO conducted an assessment of the number of agricultural wells damaged in the Gaza Strip as a result of the recent conflict escalation. **Data creation:** 2024-12-31 **Supplemental Information:** More information can be found at https://openknowledge.fao.org/handle/20.500.14283/cd4033en **Contact points:** Resource Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) Metadata Contact: [Geospatial Unit](mailto:gis-manager@fao.org) **Data lineage:** Utilising a baseline agricultural wells layer and very high-resolution satellite imagery, FAO conducted an assessment of the number of agricultural wells damaged in the Gaza Strip as a result of the recent conflict escalation. The damage was estimated using Sentinel-1 SAR imagery from 4, 5, 16, 17, 28, 29 January, 9, 10, 21, 22 February, 4, 5, 16, 28, 29 March, 9, 10, 21, 22 April 3, 4, 15,16 27, 28 May, 8, 9, 20, 21 June, 2, 3, 14, 15, 26, 27 July, 7, 8, 19, 20 August, 1 Sep, 10 October, 11, 12,23 November, 5, 6, 17, 18, 29 30 December. The number of damaged agricultural wells was calculated based on their location within a 15-meter radius area around a damaged site. A thorough evaluation of damage to agricultural wells was performed, overlaying the agricultural wells layer with the damage layer (damage proxy map) from 31 December 2024.The grid depicts the severity of damage in localised areas. In each tile the number of damaged agricultural wells was divided by the number of detected agricultural wells. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download: Gaza Strip damage assessments as of December 2024 (Excel tables) Fact-sheet: Damage to agricultural wells due to the conflict in the Gaza Strip as of 31 December 2024