Reports & PDF sheets (15)

NCM Weather Stations Location Map (Administrative Regions of Saudi Arabia)

Reports & PDF sheets · 2025 · PDF · 5.2 MB · FAO

This resource provides a national reference map showing the spatial distribution of National Center for Meteorology (NCM) weather stations across the administrative regions of Saudi Arabia. The map visualizes the geographic locations of stations included in the monthly climate dataset and reflects the updated regional boundaries used in current FAO–NCVC analyses. Each mapped point represents an operational NCM weather station with corresponding long-term monthly climate records available in the associated Excel and CSV resources. The map supports spatial interpretation of station coverage, regional aggregation of climate variables, and validation of satellite-derived products. This PDF is intended for visualization, documentation, and reporting purposes. It complements the tabular and geospatial station datasets and should be used alongside the time-series climate data files for analytical applications.

• Dataset: NCM weather stations (1968-2016)
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Carbon Estimates in Albaha Region_Baljurashi map

Reports & PDF sheets · 2025 · PDF · 3.6 MB · FAO

Carbon stock estimates for Baljurashi, Al-Baha Region, Saudi Arabia. The report quantifies above-ground, below-ground, and total carbon. Methods: derive AGB from field plots and Earth-observation; estimate BGB from AGB using Mokany et al. (2006), BGB = 0.489 × AGB^0.89; convert biomass to carbon with the IPCC carbon fraction CF = 0.47, C = 0.47 × Biomass. Outputs include maps and tables of AGB, BGB, and total carbon (Mg C/ha), summary statistics, and guidance for use in restoration planning, carbon accounting, and MRV.

• Dataset: Carbon stock plots in Baljurashi, Al Baha
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FRST_M8_103_Above Ground Biomass_Baljurashi Map

Reports & PDF sheets · 2025 · PDF · 3.5 MB · FAO

This map illustrates the spatial distribution of Above-Ground Biomass (AGB) in Baljurashi Governorate, located in the Al Baha Region of Saudi Arabia. The biomass values are expressed in megagrams per hectare (Mg/ha) and derived from field inventory plots, remote sensing data, and geospatial modeling. Key features of the map include: Color scale showing biomass values ranging from 0 to 18 Mg/ha. Governorate and regional boundaries for geographic reference. Inset maps showing the location of Al Baha within Saudi Arabia. Distribution chart summarizing the statistical spread of AGB values, with a mean of approximately 0.236 Mg/ha. This dataset supports forest monitoring, carbon stock estimation, and sustainable land management planning. It was produced through a collaboration between the Food and Agriculture Organization of the United Nations (FAO) and the National Center for Vegetation Cover (NCVC), Saudi Arabia.

• Dataset: Above-ground biomass in Baljurashi, Al Baha
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FRST_M8_7_2024_Tree Species Diversity_Governorate_Baljurashi.pdf

Reports & PDF sheets · 2025 · PDF · 2.3 MB · FAO

This dataset presents tree and shrub species diversity in Baljurashi Governorate of Al Bahah Region. It is based on field surveys and geospatial analysis conducted under FAO and the National Center for Vegetation Cover (NCVC). The map shows species dominance, spatial variation, and biodiversity levels, with species counts ranging from low (1–2 species) to high (up to 5 species per grid). The work supports biodiversity conservation, ecological monitoring, and land management in the governorate.

• Dataset: Tree species points in Baljurashi, Al Baha
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FRST_M10_13_2024_Tree Density_by Governorate_Baljurashi.pdf

Reports & PDF sheets · 2025 · PDF · 2.7 MB · FAO

This dataset shows Tree Density in Baljurashi Governorate in the Al Bahah Region of Saudi Arabia. It measures tree cover in trees per square kilometer and groups it from sparse to dense. The map was prepared by FAO and the National Center for Vegetation Cover (NCVC) using field surveys, satellite data, and GIS. It helps local teams plan forestry projects, study ecosystems, and manage natural resources more sustainably.

• Dataset: Tree density grid in Baljurashi, Al Baha
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Distribution of National Parks in Saudi Arabia Map

Reports & PDF sheets · 2025 · PDF · 5.1 MB · FAO

This map illustrates the spatial distribution of national parks across the Kingdom of Saudi Arabia. It provides a visual representation of the boundaries and locations of designated protected areas under national park status, distributed throughout the 13 administrative regions. The national park boundaries were provided by the General Department of National Parks (GDNP) at the National Center for Vegetation Cover (NCVC) to the Food and Agriculture Organization (FAO), based on the most recent dataset updated in April 2025. The map supports environmental planning, conservation, and biodiversity monitoring efforts and was developed using GIS techniques to ensure accurate and informative spatial representation.

• Dataset: National parks of Saudi Arabia (2025)
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Tree Density Alhala_Albaha

Reports & PDF sheets · 2025 · PDF · 1.4 MB · FAO

This document is a tree density and composition map of the Al Hala region within Albahah, produced by the Food and Agriculture Organization of the United Nations (FAO). It provides geospatial data on forest distribution classified into three density categories: Dense, Medium, and Low. Key Features: Geographic Coverage: Focuses on Al Hala boundary within Albahah Region. Data Sources: Compiled from NODE, PAD, NODEA, and Gumbo (specific methodologies not detailed). Scale: 1:5,000 (high-resolution for localized analysis). Date of Composition: April 9, 2025 (reflects most recent available data). Legend: Includes tree density classifications and administrative boundaries. Intended Use: Supports forest management, ecological research, and policy planning. Limitations & Notes: Legal Disclaimer: Boundaries and legal statuses are not officially endorsed (per PAD note). Unspecified Metrics: Exact tree density thresholds (e.g., trees/hectare) are undefined. Potential Applications: Carbon stock assessment, biodiversity conservation, land-use planning.

• Dataset: Tree density classes in Alkhala
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Albaha Tree density

Reports & PDF sheets · 2025 · PDF · 1.7 MB · FAO

This geospatial dataset maps tree density distribution across Al Baha Province, Saudi Arabia, using Thiessen polygons to represent sample units. The map visualizes vegetation density through two normalized metrics: TreeCount/Shape_Area (raw density): Class Breaks: 0-6,828 | 6,829-21,760 | 21,770-47,760 | 47,770-95,480 | 95,490-273,700 TreeCount/Area_sq_km (standardized): Class Breaks: 0-0.6254 | 0.6255-2.002 | 2.003-4.307 | 4.308-8.250 Key Features: Scale: 1:650,000 Projection: Geographic (WGS 84) Coverage: Al Baha Province, including Jebel Buthra/Wadi Turbah Nature Reserve Elevation markers: 1,098m to 2,664m Stratified sampling areas (Strata_1 to Strata_4)

• Dataset: Tree density sampling units in Al Baha
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Deforestation Hotspots in Albaha

Reports & PDF sheets · 2025 · PDF · 452.1 KB · FAO

This dataset presents findings from a comprehensive deforestation survey conducted in Saudi Arabia's Al Bahah region between March and July 2024. The PDF map resource documents current tree cover status, with quantitative data on both living trees (2,184 recorded) and tree stumps (113 recorded) as indicators of deforestation activity. Key Features: Produced by the Food and Agriculture Organization (FAO) of the United Nations Developed in collaboration with MSNC and PAA Global Games Map composition finalized on April 7, 2023 Field data collected March 19 - July 2024 Standardized scale of 1:600,000 for regional analysis Data Characteristics: Visual representation of tree cover distribution Clear legend differentiating living trees from stumps Includes reference scale bars for tree counts (0-3,000 range) Time scale indicator (0-40 minutes) suggesting survey duration metrics Intended Use: Regional environmental monitoring Deforestation impact assessments Conservation planning baseline Academic research on arid ecosystems Supporting Saudi Green Initiative objectives

• Dataset: Deforestation signals in Al Baha
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Tree Health Condition Albaha_Juniperous

Reports & PDF sheets · 2025 · PDF · 434.9 KB · FAO

This georeferenced PDF map visually represents the health status of Juniperus procera (Arabian juniper) populations across Albaha Region, Saudi Arabia, as documented in the 2025 National Forest Inventory. The thematic map employs a color-coded legend to distinguish between healthy, dead/dying, and affected tree stands, with density gradients indicating spatial distribution patterns. Key Features: Primary Focus: Health assessment of Juniperus procera ecosystems Legend Categories: Healthy stands (green) Dead/Dying specimens (red) Affected/Nutrient-deficient populations (amber) Scale: 1:600,000 (regional overview) Inset: Detail map at 1:120,000 for high-priority zones Methodological Notes: Field data collected using FAO-GTA protocols Health classifications validated through: Visual crown assessments Foliage sampling Soil nutrient analysis Dutch technical team conducted quality assurance Data Parameters: Measurement Units: Trees per hectare (density scale: 0-600) Coordinate System: WGS84 (implied) Survey Date Range: Q1-Q3 2025 Usage Guidance: Intended for regional conservation planning Supports Saudi Green Initiative monitoring Complementary to plot-level NFI datasets Not for parcel-scale decision making (see 1:25,000 series for detailed analysis)

• Dataset: Tree health in Al Baha
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Wuthylan National Park

Reports & PDF sheets · 2025 · PDF · 1007.4 KB · FAO

This official park map displays recreational and protected zones within Wuthylan National Park. The 1:140,000 scale map includes: Park boundaries and infrastructure 14 zone types including picnic areas, RV zones, protected areas, and various camping facilities Trail network and road system Key facilities like visitor centers and management buildings The map legend details: Recreational zones (1-7) Accommodation types (8-14) Transportation routes Key landmarks

• Dataset: Wuthylan National Park zones
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KSA Governorate Map (PDF)

Reports & PDF sheets · 2025 · PDF · 2.6 MB · FAO

This PDF file provides a visual representation of the second-level administrative boundaries (Governorate) within the Kingdom of Saudi Arabia. It includes clearly labeled Region names and boundary outlines, sourced from the National Center for Vegetation Cover (NCVC). The map is suitable for reference, planning, and presentation purposes, offering a clear overview of the regional divisions across KSA.

• Dataset: Governorates of Saudi Arabia
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KSA Regions Map (PDF)

Reports & PDF sheets · 2025 · PDF · 2.3 MB · FAO

This PDF document illustrates the 13 main regions of the Kingdom of Saudi Arabia (KSA). KSA is one of the largest Arab countries on the Arabian Peninsula, covering about 80% of the region. The map highlights each of the 13 regions: Eastern Province, Riyadh, Al-Qassim, Hail, Al-Jouf, Northern Borders, Tabouk, Al Madinah, Makkah, Al-Baha, Asir, Jazan, and Najran. It serves as a convenient reference for educational, planning, and administrative purposes.

• Dataset: Regions of Saudi Arabia
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Map of NDVI Trend for Albaha (2018-2024)

Reports & PDF sheets · 2025 · PDF · 1.8 MB · FAO

This PDF map provides a visual representation of the NDVI (Normalized Difference Vegetation Index) trends for Al Baha, Saudi Arabia, from 2018 to 2024. It highlights vegetation changes over time using Sentinel-2 satellite imagery and geospatial analysis techniques. Key Features: Based on Sentinel-2 NDVI data Spatial resolution: 10m Projection: UTM Zone 37N (EPSG: 32637) Analysis performed using Google Earth Engine and ArcGIS Pro Map includes classified vegetation change trends Generated on January 2025

• Dataset: NDVI forest cover trends in Al Baha (2018-2025)
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Agro Ecological Zones (AEZ) of Saudi Arabia (pdf)

Reports & PDF sheets · 2025 · PDF · 2.4 MB · FAO

Agro-climate zones for the Kingdom of Saudi Arabia (KSA) digitized from map published by Ministry of Agriculture. The MoEWA study developed the agro-ecological zones. This dataset offers comprehensive information on agro ecological zones across Saudi Arabia, encompassing diverse landscapes beyond just forested areas. It includes high-resolution spatial data beneficial for agricultural planning, ecosystem monitoring, and sustainable resource management across various ecological zones. Curated by the FAO-KSA project team, this dataset aids in informed decision-making by providing insights into ecological characteristics and land-use potential throughout the country. Researchers, policymakers, and land managers can utilize this resource for national studies and environmental assessments.

• Dataset: Agro-ecological zones of Saudi Arabia
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Metadata sheets (18)

FAO KSA Geo-Spatial Data -NCM Weather Stations in Saudi Arabia (1968–2016)

Metadata sheets · 2026 · PDF · 1.1 MB · FAO

Metadata

• Dataset: NCM weather stations (1968-2016)
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FAO KSA Geo-Spatial Data -Met Sand Station Metadata (Saudi Arabia, 2025).pdf

Metadata sheets · 2026 · PDF · 1.3 MB · FAO

The Met Sand Station is a fixed-point meteorological monitoring station shown on the accompanying sand encroachment monitoring map of Saudi Arabia. The station is located in Alhasa, Eastern Region, and is represented as a single point indicating the physical installation location. It is equipped with a CR1000X datalogger running the CR1000X.Std.06.02 program and records observations at an hourly sampling frequency. The station provides locally representative measurements of wind and weather conditions that support interpretation of sand movement and sand encroachment patterns in the surrounding area. The data are intended for site-specific analysis and should not be generalized beyond the immediate station vicinity.

• Dataset: Sand encroachment met station (Al Ahsa)
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FAO KSA Geo-Spatial Data -Met Sand Station Metadata (Saudi Arabia, 2025).pdf

Metadata sheets · 2026 · PDF · 1.3 MB · FAO

Metadata

• Dataset: Sand encroachment met station (Al Ahsa)
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FAO KSA Geo-Spatial Data - Wuthylan_Zones.pdf

Metadata sheets · 2026 · PDF · 1.1 MB · FAO

Metadata

• Dataset: Wuthylan National Park zones
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FAO KSA Geo-Spatial Metadata - Forest_Change detection.pdf

Metadata sheets · 2026 · PDF · 1.1 MB · FAO

Metadata

• Dataset: NDVI forest cover trends in Al Baha (2018-2025)
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FAO KSA Geo-Spatial Data - KSA Governorates.pdf

Metadata sheets · 2026 · PDF · 1.0 MB · FAO

Metadata

• Dataset: Governorates of Saudi Arabia
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FAO KSA Geo-Spatial Data - Deforestation Hotspots In Albaha.pdf

Metadata sheets · 2026 · PDF · 1.1 MB · FAO

Metadata

• Dataset: Deforestation signals in Al Baha
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FAO KSA Geospatial Metadata–Albaha_Region_Tree_Health_Condition

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

metadata

• Dataset: Tree health in Al Baha
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FAO KSA Geospatial Metadata–Albaha_Region_Tree_Density

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

metadata

• Dataset: Tree density sampling units in Al Baha
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FAO KSA Geospatial Metadata–Agro_Ecological_Zones_(AEZ)_of_Saudi_Arabia

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

metadata

• Dataset: Agro-ecological zones of Saudi Arabia
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FAO KSA Geo-Spatial Data -Carbon Stock__Baljurashi_Albaha Region metadata

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

Metadata

• Dataset: Carbon stock plots in Baljurashi, Al Baha
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FAO KSA Geo-Spatial Data -Above Ground Biomass__Baljurashi_Albaha Region metadata

Metadata sheets · 2025 · PDF · 1.2 MB · FAO

Metadata

• Dataset: Above-ground biomass in Baljurashi, Al Baha
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FAO KSA Geo-Spatial Data -Tree_Density_Baljurashi_Albaha Region.pdf

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

Metadata

• Dataset: Tree density grid in Baljurashi, Al Baha
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FAO KSA Geo-Spatial Data -Tree_Density_Baljurashi_Albaha Region metadata

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

Metadata

• Dataset: Tree species points in Baljurashi, Al Baha
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Rangeland field sites metadata

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

metadata

• Dataset: Rangeland field sites
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Tree Density Al Khala Albaha Metadata

Metadata sheets · 2025 · PDF · 1.3 MB · FAO

Metadata file for the associated datasets

• Dataset: Tree density classes in Alkhala
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Agro Ecological Zones metadata

Metadata sheets · 2025 · PDF · 1.1 MB · FAO

Metadata file of the associated dataset

• Dataset: Agro-ecological zones of Saudi Arabia
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Distribution of National Parks in Kingdom of Saudi Arabia Metadata

Metadata sheets · 2025 · PDF · 1.0 MB · FAO

Metadata file for the associated datasets

• Dataset: National parks of Saudi Arabia (2025)
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Data tables (16)

logmet_merged_clean.csv

Data tables · 2026 · CSV · 3.1 MB · FAO

This CSV file contains cleaned and standardized time-series observations collected from the Met Sand Station located in Alhasa, Eastern Region, Saudi Arabia. The dataset includes hourly meteorological, environmental, and diagnostic measurements recorded by an automated CR1000X datalogger, such as wind speed and direction from multiple sensors, air and panel temperature, relative humidity, rainfall totals, battery voltage, kinetic energy, and particle counts. The data represent observations from a single fixed monitoring point and are intended to support analysis of wind-driven sand movement, sand encroachment processes, and localized land degradation assessment. Coordinates refer to the station installation location only. The dataset supports site-level interpretation and should not be generalized to regional or national climatic conditions.

• Dataset: Sand encroachment met station (Al Ahsa)
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KSA_Monthly_Weather_Data.csv

Data tables · 2025 · CSV · 36.4 MB · FAO

This resource contains a cleaned national monthly climate time-series dataset for Saudi Arabia derived from the National Center for Meteorology (NCM) weather station network. The dataset includes monthly observations for key climate variables such as air temperature, rainfall, relative humidity, wind speed and direction, solar radiation, soil temperature, and evaporation. Records are linked to individual NCM weather stations distributed across the administrative regions of the Kingdom. Each row represents a station-month observation and is designed to support climate trend analysis, drought monitoring, land degradation assessment, and validation of satellite-derived climate products. The data is suitable for long-term analysis and research applications. It is not intended for real-time forecasting or sub-daily extreme event analysis.

• Dataset: NCM weather stations (1968-2016)
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Carbon_Baljurashi.csv

Data tables · 2025 · CSV · 12.4 KB · FAO

This file contains point-based estimates of carbon stock (C-Stock) for Baljurashi Governorate, Al Baha Region, Saudi Arabia. Values are expressed in tonnes per hectare (Mg/ha) and were computed from below-ground biomass using the formula C = BGB × 0.47, based on the IPCC (2006) carbon conversion factor. Each record includes geographic coordinates, carbon value, field code, unit, minimum and maximum values, number of data points, and regional attributes. The dataset supports carbon accounting, ecosystem monitoring, and FAO–NCVC climate reporting initiatives for sustainable land management.

• Dataset: Carbon stock plots in Baljurashi, Al Baha
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AGB_m_points_Baljurashi.csv

Data tables · 2025 · CSV · 11.4 KB · FAO

This CSV file contains point-level Above-Ground Biomass (AGB) data for Baljurashi Governorate in the Al Baha Region, Saudi Arabia. The dataset includes 88 georeferenced records derived from 418 field plots and remote sensing analysis. AGB values are expressed in tonnes per hectare (Mg/ha). Key attributes: OBJECTID – Unique identifier for each point x, y – Longitude and latitude in decimal degrees (WGS84) AGB – Above-Ground Biomass estimate (0–18.013 Mg/ha) fld_name, fld_title, fld_unit – Field metadata describing the biomass variable min_val, max_val – Minimum and maximum observed values data_pt – Total number of field plots used (418) region, country – Location metadata (Al Baha, Saudi Arabia) This dataset supports forest monitoring, carbon stock estimation, and sustainable land-use planning, and was developed by FAO in collaboration with the National Center for Vegetation Cover (NCVC).

• Dataset: Above-ground biomass in Baljurashi, Al Baha
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Tree Density_Baljurashi_csv

Data tables · 2025 · CSV · 5.2 KB · FAO

This CSV file provides tree density data for Baljurashi, Al Baha Region, Saudi Arabia. It records the number of trees per unit area, classified into density levels from sparse to dense. The dataset is useful for forest monitoring, vegetation cover assessment, and sustainable land management.

• Dataset: Tree density grid in Baljurashi, Al Baha
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Al_Baha_MainSpecies_Baljurashi_csv

Data tables · 2025 · CSV · 11.9 KB · FAO

This CSV file contains data on the main tree species and their density in Baljurashi, Al Baha Region, Saudi Arabia. The records show species names, counts, and density values, organized in tabular form for easy analysis and use in biodiversity and forest monitoring.

• Dataset: Tree species points in Baljurashi, Al Baha
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National_Park_Boundary_centroids

Data tables · 2025 · CSV · 121.4 KB · FAO

This CSV file contains tabular attribute data representing **national parks across Saudi Arabia**, with a focus on **centroid coordinates** (latitude and longitude) for each park polygon. It serves as a simplified spatial reference layer derived from the full polygon boundaries and is suitable for integration with mapping platforms, dashboards, or attribute analysis tools. Each row represents a unique national park, including its name, area, perimeter, and centroid location in decimal degrees (EPSG:4326 – WGS 84). The dataset can be used for visualization, spatial querying, and thematic analysis of protected areas. **Key Attributes:** - `Park_ID`: Unique identifier for each national park - `Park_Name`: Name of the national park (Arabic) - `Area_ha`: Area of the park in hectares - `Perimeter_m`: Total boundary length of the park in meters - `Latitude`: Latitude of the park’s centroid (WGS 84) - `Longitude`: Longitude of the park’s centroid (WGS 84) - `Region`: Administrative region in which the park is located **Spatial Reference:** WGS 84 – EPSG:4326 (centroids only, no polygon geometries) **Usage:** Ideal for use in lightweight mapping applications, spatial joins, and attribute-driven dashboards. Can be joined to polygon datasets using the `Park_ID` field. **Source:** Saudi National Center for Vegetation Cover (NCVC), processed and compiled by FAO Saudi Arabia GIS Team.

• Dataset: National parks of Saudi Arabia (2025)
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Thiessen Polygons Albah

Data tables · 2025 · CSV · 25.7 KB · FAO

This dataset contains Thiessen (Voronoi) polygons derived from field sampling units (FSUs) in the Al-Bahah Region, Saudi Arabia, designed for spatial analysis of ecological and land-use attributes. Key features include: Attributes: TreeCount: Number of trees per polygon. Access: Land accessibility status (e.g., "Accessible," "Inaccessible," "Bareland"). Area_sq_km: Polygon area in square kilometers. Spp_count: Species diversity count per polygon. TThese_id: Unique identifier for each Thiessen polygon. Applications: Ecological monitoring and conservation planning. Land-use classification and accessibility mapping. Species distribution modeling. Data Source: Field surveys and geospatial analysis (UTM Zone 37N, EPSG:32637).

• Dataset: NFI Thiessen polygons, Al Baha
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Forest_boundary

Data tables · 2025 · CSV · 20.6 KB · FAO

This CSV dataset contains geospatial boundary information for forested areas in Al-Baha, Saudi Arabia, collected as part of the National Forest Inventory (NFI) program. The data represents polygon boundaries of forest patches, validated through a combination of remote sensing (Sentinel-2, Google Earth) and ground truthing by the National Center for Vegetation Cover (NCVC).

• Dataset: Proposed forest reservations (south-west Saudi Arabia)
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Tree Density Alkhala Albaha_csv file

Data tables · 2025 · CSV · 847 B · FAO

This dataset provides comprehensive tree density measurements across the Alkhala and Albaha regions, collected during the 2023 National Forest Inventory. The CSV format contains georeferenced data points with associated density classifications and ecological attributes. Key features include: Geospatial coordinates (latitude/longitude) for each measurement point Tree density classifications (Low/Medium/High) Canopy cover percentages Associated land use categories Timestamp of data collection Format: CSV (Comma-Separated Values) UTF-8 encoding Header row included Comma delimiters WGS84 coordinate system (EPSG:4326)

• Dataset: Tree density classes in Alkhala
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Tree Density Albah

Data tables · 2025 · CSV · 13.7 KB · FAO

This dataset provides detailed information about tree density distribution in the Albaha region, stored in CSV format. It contains structured data with columns representing key metrics such as location coordinates, tree counts, area measurements, and calculated density values (e.g., trees per square kilometer). The dataset is ideal for statistical analysis, GIS mapping, or environmental modeling, enabling researchers to study vegetation patterns, assess ecological health, or support conservation efforts. Key Features: Location Data: Latitude and longitude for precise spatial reference. Tree Count: Total number of trees recorded per sample unit. Area Coverage: Size of the sampled area (e.g., in square meters or kilometers). Density Calculations: Derived metrics like TreeCount/Area for comparative analysis.

• Dataset: Tree density sampling units in Al Baha
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Deforestation_Hotspots_In_Albaha_csv

Data tables · 2025 · CSV · 50.9 KB · FAO

This dataset contains detailed tree survey records from the Al Bahah region of Saudi Arabia, collected between 2023-2024. The CSV format includes geospatial point data with plot identification and tree status information. Data Fields Description: FID: Unique feature identifier (Integer) Shape: Geometry type (Point) SUPLOT: Survey unit and plot combination code (Text) SU_No: Survey unit number (Text) Plot_ID: Individual plot identifier within survey unit (Text) Tree_S_1: Tree status indicator (Values: "Tree" = living tree

• Dataset: Deforestation signals in Al Baha
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Tree_Health_Condition_Albaha

Data tables · 2025 · CSV · 123.5 KB · FAO

This CSV file contains raw tree health assessment data collected during the 2023-2024 National Forest Inventory in Albaha Region, Saudi Arabia. The dataset provides standardized records of individual tree health evaluations across systematic survey plots. Key Features: Format: Comma-separated values (UTF-8 encoded) Records: 740 individual tree assessments Fields: SUPLOT: Composite survey plot ID (e.g., "SJ120P1") SU_No: Survey unit identifier Plot_ID: Specific plot number within unit Health: Condition classification: Healthy (no visible stress) Slightly_affected (<30% foliage loss) Severely_affected (30-60% foliage loss) Dead_Dying (>60% foliage loss/no growth) Not_indicated (unassessable)

• Dataset: Tree health in Al Baha
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NDVI_Statistics_AlBaha

Data tables · 2025 · CSV · 765 B · FAO

This dataset provides NDVI statistics for Al Baha from 2018 to 2024. It includes data on: Decreasing vegetation (ha) Increasing vegetation (ha) Mean NDVI values Stable vegetation (ha) Yearly observations

• Dataset: NDVI forest cover trends in Al Baha (2018-2025)
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Agro Ecological Zones (AEZ) of Saudi Arabia (csv)

Data tables · 2025 · CSV · 1.6 KB · FAO

Agro-climate zones for the Kingdom of Saudi Arabia (KSA) digitized from map published by Ministry of Agriculture. The MoEWA study developed the agro-ecological zones. This dataset offers comprehensive information on agroecological zones across Saudi Arabia, encompassing diverse landscapes beyond just forested areas. It includes high-resolution spatial data beneficial for agricultural planning, ecosystem monitoring, and sustainable resource management across various ecological zones. Curated by the FAO-KSA project team, this dataset aids in informed decision-making by providing insights into ecological characteristics and land-use potential throughout the country. Researchers, policymakers, and land managers can utilize this resource for national studies and environmental assessments.

• Dataset: Agro-ecological zones of Saudi Arabia
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Rangeland_FieldPoints.csv

Data tables · 2025 · CSV · 88.9 KB · FAO

Field records from 24 rangeland sites across 12 regions of Saudi Arabia.

• Dataset: Rangeland field sites
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Packages (3)

KSA Governorates (Zipped Shapefile)

Packages · 2025 · ZIP · 4.2 MB · FAO

This zipped shapefile package contains the second-level administrative boundaries (Governorates) within the Kingdom of Saudi Arabia. Sourced from the National Center for Vegetation Cover (NCVC), the package includes the necessary files (e.g., .shp, .shx, .dbf, .prj) required for use in GIS software. It offers detailed polygon geometries representing each Governorate, facilitating comprehensive spatial analysis and mapping.

• Dataset: Governorates of Saudi Arabia
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• Compressed package — unzip locally for GIS software

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KSA Regions (Zipped Shapefile)

Packages · 2025 · ZIP · 3.1 MB · FAO

This zipped shapefile contains detailed polygon boundaries for the 13 main regions of the Kingdom of Saudi Arabia (KSA). KSA encompasses approximately 80% of the Arabian Peninsula, and its regional division includes Eastern Province, Riyadh, Al-Qassim, Hail, Al-Jouf, Northern Borders, Tabouk, Al Madinah, Makkah, Al-Baha, Asir, Jazan, and Najran. The dataset, sourced from the National Center for Vegetation Cover (NCVC), is provided in a standard GIS-compatible format (.shp, .shx, .dbf, .prj) suitable for spatial analysis and cartographic projects.

• Dataset: Regions of Saudi Arabia
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Agro Ecological Zones (AEZ) of Saudi Arabia(shp)

Packages · 2025 · ZIP · 195.5 KB · FAO

Agro-climate zones for the Kingdom of Saudi Arabia (KSA) digitized from map published by Ministry of Agriculture. The MoEWA study developed the agro-ecological zones. This dataset offers comprehensive information on agro ecological zones across Saudi Arabia, encompassing diverse landscapes beyond just forested areas. It includes high-resolution spatial data beneficial for agricultural planning, ecosystem monitoring, and sustainable resource management across various ecological zones. Curated by the FAO-KSA project team, this dataset aids in informed decision-making by providing insights into ecological characteristics and land-use potential throughout the country. Researchers, policymakers, and land managers can utilize this resource for national studies and environmental assessments.

• Dataset: Agro-ecological zones of Saudi Arabia
• Open on portal to preview in browser, then Download
• Compressed package — unzip locally for GIS software

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