Description: A global latitude-longitude grid with 1-degree intervals for world-level reference and mapping. && This layer provides a global latitude and longitude grid at 1-degree intervals, suitable for detailed mapping and analysis. It is part of the World Latitude and Longitude Grids dataset, which offers multiple grid resolutions for use as overlays in GIS applications. The 1-degree grid is ideal for applications requiring a fine-grained reference system for global data visualization and analysis (https://hub.arcgis.com/maps/ece08608f53949a4a4ee827fd5c30da1/about).
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Description: A global latitude-longitude grid with 5-degree intervals for mid-scale mapping and analysis. && This layer provides a global latitude and longitude grid at 5-degree intervals, balancing detail and readability for medium-scale world maps. It belongs to the World Latitude and Longitude Grids dataset, designed for use as a base reference in GIS applications. The 5-degree grid is well-suited for regional studies, thematic maps, and general global reference overlays (https://hub.arcgis.com/maps/ece08608f53949a4a4ee827fd5c30da1/about).
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Description: A global latitude-longitude grid with 25-degree intervals for small-scale global reference. && This layer provides a global latitude and longitude grid at 25-degree intervals, designed for small-scale, global overviews. It is part of the World Latitude and Longitude Grids dataset, which provides grids at multiple resolutions to support diverse mapping needs. The 25-degree grid is most effective for broad-scale visualization, navigation reference, and educational use in global mapping projects (https://hub.arcgis.com/maps/ece08608f53949a4a4ee827fd5c30da1/about).
Description: Land use map derived from the ESA 2021 Land Cover dataset, showing built areas, cropland, and roads. Useful for environmental monitoring, climate studies, and land management. && The land-cover product we have generated from the ESA 2021 Land Cover dataset offers a high-quality, satellite-based map that provides detailed information on the Earth's surface cover. The map is highly regarded for its accuracy, resolution, and the use of advanced remote sensing technology to classify different types of land cover, such as vegetation, water bodies, urban areas, bare surfaces, etc. It's considered a good quality product because of its comprehensive coverage, frequent updates, and the rigorous validation processes it undergoes. These features make it particularly useful for environmental monitoring, climate change studies, and land management. The detailed land cover information helps distinguish dunes from other land cover types, facilitating targeted analysis and interventions in those areas. The source data can be downloaded at https://worldcover2021.esa.int/.
Description: Riyadh Region Boundary provides a 2022 boundary with a total population count, designed for mapping and analysis in ArcGIS. && Riyadh Region Boundary provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022.https://www.arcgis.com/home/item.html?id=5aa5fd4f9664472db9f4f48587cda7bf
Description: Mecca Region Boundary provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022.https://www.arcgis.com/home/item.html?id=5aa5fd4f9664472db9f4f48587cda7bf
Description: This dataset represents proposed drilling locations identified by the ESRS laboratory within sabkha environments. The points indicate recommended sites for subsurface sampling and analysis.
Description: This dataset contains proposed sample locations identified by the ESRS laboratory for a planned field campaign in the Riyadh Province. The sites target sabkha environments and are intended to validate NASA EMIT Mineralogy L2B products through ground truth sampling and analysis.
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Description: This dataset contains proposed sample locations identified by the ESRS laboratory for a planned field campaign in the Mecca Province. The sites target sabkha environments and are intended to validate NASA EMIT Mineralogy L2B products through ground truth sampling and analysis.
Description: This dataset includes drilling locations collected by the Saudi Geological Survey (SGS) in 2024 across the Riyadh Province, with a focus on sabkha environments.
Description: This dataset includes all drilling boreholes collected by the Saudi Geological Survey (SGS) in 2024 across the Mecca Province, including drilling and geochemical analysis SPT, PH, TDS, SO4, CL.
Description: This shapefile contains sabkha polygon features extracted from 1:250,000-scale geological maps. The dataset delineates the spatial extent and locations of sabkhas as represented in the source geological mapping.
Description: This dataset represents manually delineated sabkha areas across Mecca and Riyadh provinces. The polygons were derived using salinity maps, color composite imagery, and topographic depressions to identify and map sabkha locations.
Description: This dataset provides refined and detailed sabkha polygons across Mecca and Riyadh provinces. The delineation was derived by NASA EMIT mineral maps, using diagnostic indicators such as evaporites, high-swelling clays (montmorillonite), and salt to accurately better identify sabkha locations.
Description: This shapefile contains sabkha polygon features extracted from 1:250,000-scale geological maps. The dataset delineates the spatial extent and locations of sabkhas as represented in the source geological mapping.
Description: This dataset is derived from NASA EMIT L2B mineral maps and represents sabkha locations across the study area. The product was clipped and converted to polygons to highlight mineralogical variations, including evaporites, high-swelling clays (montmorillonite), salts, carbonates, and their mixtures. These mapped sabkha areas indicate zones that may be vulnerable for engineering and geotechnical purposes.
Description: This product was generated from Landsat 8 and Landsat 9 imagery to delineate high-salinity areas as indicators of sabkhas. The salinity index was calculated using the following equation:NIR.SWIR_Salinity_Index (SWIR1-SWIR2)/(SWIR1-NIR)
Description: This dataset includes Sabkha boreholes collected by the Saudi Geological Survey (SGS) in 2024 across the Mecca Province, including drilling and geochemical analysis of soil samples; SPT, PH, TDS, SO4, CL.
Description: This dataset includes Sabkha boreholes collected by the Saudi Geological Survey (SGS) in 2024 across the Mecca Province, including drilling and geochemical analysis of soil samples; SPT, PH, TDS, SO4, CL.
Description: This dataset includes Sabkha boreholes collected by the Saudi Geological Survey (SGS) in 2024 across the Mecca Province, including drilling and geochemical analysis of soil samples; SPT, PH, TDS, SO4, CL.
Description: This dataset includes Sabkha boreholes collected by the Saudi Geological Survey (SGS) in 2024 across the Mecca Province, including drilling and geochemical analysis of water samples; SPT, PH, TDS, SO4, CL.
Description: This dataset includes Sabkha boreholes collected by the Saudi Geological Survey (SGS) in 2024 across the Mecca Province, including drilling and geochemical analysis of water samples; SPT, PH, TDS, SO4, CL.
Description: This dataset represents Chlorine (Cl) concentration contours for sabkha soils in the Jeddah region illustrating the spatial distribution and variability of Cl within sabkha environments.
Description: This product is an interpolated raster of Jeddah Chlorine (cl) of sabkha soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius= variable; number of points = 12, optimized for regional hydro-chemical mapping.
Description: This dataset represents Total dissolved salts (TDS) concentration contours for sabkha soils in the Jeddah region illustrating the spatial distribution and variability of TDS within sabkha environments.
Description: This product is an interpolated raster of Jeddah Total dissolved salts (TDS) of sabkha soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius= variable; number of points = 12, optimized for regional hydro-chemical mapping.
Description: This dataset represents Sulphate (SO4) concentration contours for sabkha soils in the Jeddah region illustrating the spatial distribution and variability of SO4 within sabkha environments.
Description: This product is an interpolated raster of Jeddah Sulphate (SO4) of sabkha soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius= variable; number of points = 12, optimized for regional hydro-chemical mapping.
Description: This dataset represents Chlorine (Cl) concentration contours for sabkha soils in the Qunfudah region illustrating the spatial distribution and variability of Cl within sabkha environments.
Description: This product is an interpolated raster of Qunfudah Chlorine (Cl) of sabkha soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius= variable; number of points = 12, optimized for regional hydro-chemical mapping.
Description: This dataset represents Total dissolved salts (TDS) concentration contours for sabkha soils in the Qunfudah region illustrating the spatial distribution and variability of Cl within sabkha environments.
Description: This product is an interpolated raster of Qunfudah Total dissolved salts (TDS) of sabkha soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius= variable; number of points = 12, optimized for regional hydro-chemical mapping.
Description: This dataset represents Sulphate (SO4) concentration contours for sabkha soils in the Qunfudah region illustrating the spatial distribution and variability of Cl within sabkha environments.
Description: This product is an interpolated raster of Qunfudah Sulphate (SO4) of sabkha soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius= variable; number of points = 12, optimized for regional hydro-chemical mapping.
Description: This dataset represents Chlorine (Cl) concentration contours for sabkha soils in the Rabigh region illustrating the spatial distribution and variability of Cl within sabkha environments.
Description: This product is an interpolated raster of Rabigh Chlorine (Cl) of sabkha soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius= variable; number of points = 12, optimized for regional hydro-chemical mapping.
Description: This dataset represents Total dissolved salts (TDS) concentration contours for sabkha soils in the Rabigh region illustrating the spatial distribution and variability of TDS within sabkha environments.
Description: This product is an interpolated raster of Rabigh Total dissolved salts (TDS) of Soil samples using IDW Interpolation parameters included the cell size = 500 m; default search radius = variable; number of points = 12, optimized for regional hydrochemical mapping.
Description: This dataset represents Sulphate (SO4) concentration contours for sabkha soils in the Rabigh region illustrating the spatial distribution and variability of SO4 within sabkha environments.
Description: This dataset represents ground deformation velocity over the coastal region of Mecca derived from Small Baseline Subset (SBAS) InSAR time series analyses. The analysis was performed using Sentinel-1 geocoded unwrapped interferogram (GUNW) products at 90 m resolution provided by JPL’s ARIA project. A total of 322 interferograms from 142 Sentinel-1 ascending orbit scenes (October 2016 – July 2021) were processed using the open-source MintPy software package.&&The resulting product maps areas of uplift and subsidence along the Mecca coastline.
Description: This dataset represents ground deformation velocity over the coastal region of Mecca derived from Small Baseline Subset (SBAS) InSAR time series analyses. The analysis was performed using Sentinel-1 geocoded unwrapped interferogram (GUNW) products at 90 m resolution provided by JPL’s ARIA project. A total of 322 interferograms from 142 Sentinel-1 ascending orbit scenes (October 2016 – July 2021) were processed using the open-source MintPy software package.The resulting product maps areas of uplift and subsidence along the Mecca coastline && a ground deformation risk layer was generated by intersecting deformation results with urban infrastructure and road networks buffered by 200 m, highlighting vulnerable zones.
Description: This hillshade was generated from the 30-meter resolution Copernicus Digital Elevation Model (DEM). A vertical exaggeration factor of 10 was applied to enhance terrain relief and improve the visualization of topographic features.