36 datasets found
  1. f

    Depicting changes in land surface cover at Al-Hassa oasis of Saudi Arabia...

    • plos.figshare.com
    xlsx
    Updated May 30, 2023
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    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa (2023). Depicting changes in land surface cover at Al-Hassa oasis of Saudi Arabia using remote sensing and GIS techniques [Dataset]. http://doi.org/10.1371/journal.pone.0221115
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    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Saudi Arabia
    Description

    This study assessed the spatial and temporal variations of land cover in the agricultural areas of the Al-Hassa oasis, Kingdom of Saudi Arabia (KSA). Change detection technique was applied in order to classify variations among different surface cover aspects, during three successive stages between 1985 and 2017 (i.e., 1985 to 1999 (14 years), 1999 to 2013 (14 years), and 2013 to 2017 (4 years)), using two scenarios. During the first stage, significant urban sprawl (i.e., 3,200 ha) occurred on bare lands within the old oasis, while only 590 ha of the oasis’s vegetation area was occupied by urban cover. However, the final stage revealed rapid urban development (1,270 ha by 2017) within the oasis’s vegetation region, while no urban sprawl occurred on bare lands (area of 1,900 ha, same as that in 1999–2013). Vegetation cover of around 1,000 ha changed to the bare soil class, in addition to the areas that were occupied by the urban class (1,700 ha in total). The study provides quantitative information on the influence of urban development on the spatial changes in vegetation cover of the oasis, especially during recent decades.

  2. s

    Saudi Arabia Geospatial Dataset

    • sig-maroc.com
    Updated Jun 23, 2025
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    BAABBA MED (2025). Saudi Arabia Geospatial Dataset [Dataset]. https://sig-maroc.com/international/data/shapefile-saudi-arabia
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    Dataset updated
    Jun 23, 2025
    Authors
    BAABBA MED
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Saudi Arabia
    Description

    Comprehensive GIS dataset covering roads, land use, hydrography and administrative boundaries in Saudi Arabia. Multiple shapefiles are available for download.

  3. m

    Saudi Arabia Geospatial Analytics Market Size & Share Analysis - Industry...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Aug 29, 2024
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    Mordor Intelligence (2024). Saudi Arabia Geospatial Analytics Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/saudi-arabia-geospatial-analytics-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Saudi Arabia
    Description

    The Saudi Arabia Geospatial Analytics Market report segments the industry into By Type (Surface Analysis, Network Analysis, Geovisualization) and By End-User Vertical (Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate and Construction, Other End-User Verticals).

  4. S

    Saudi Arabia Geospatial Analytics Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 2, 2025
    + more versions
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    Data Insights Market (2025). Saudi Arabia Geospatial Analytics Market Report [Dataset]. https://www.datainsightsmarket.com/reports/saudi-arabia-geospatial-analytics-market-13539
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Saudi Arabia
    Variables measured
    Market Size
    Description

    The Saudi Arabian geospatial analytics market, valued at approximately $400 million in 2025, is poised for significant growth, exhibiting a Compound Annual Growth Rate (CAGR) of 9.22% from 2025 to 2033. This robust expansion is driven by several key factors. Firstly, the Kingdom's ambitious Vision 2030 initiative, focused on economic diversification and infrastructure development, necessitates advanced geospatial technologies for effective urban planning, resource management, and infrastructure monitoring. Secondly, increasing government investments in smart city initiatives and digital transformation are fueling demand for sophisticated geospatial analytics solutions. Furthermore, the burgeoning oil and gas sector, along with the growing agriculture and transportation industries, rely heavily on geospatial data for optimized operations and resource allocation. The market's segmentation reveals strong growth across various end-user verticals, with the agriculture, utility & communication, and defense & intelligence sectors leading the charge. The adoption of cloud-based geospatial analytics platforms and the integration of artificial intelligence (AI) and machine learning (ML) are emerging as major trends, enhancing the capabilities and efficiency of these solutions. However, market growth is not without its challenges. Data privacy concerns and the need for skilled professionals proficient in geospatial analytics technologies represent significant hurdles. Nevertheless, the long-term prospects remain positive, fueled by continued governmental support, private sector investment, and the inherent advantages of geospatial analytics in addressing critical national challenges related to sustainable development and economic growth. Key players like SAS Institute, Esri, and others are strategically positioning themselves to capitalize on this expanding market, offering a wide range of solutions tailored to the specific needs of Saudi Arabian businesses and government entities. The integration of advanced technologies within existing infrastructure is driving growth and adoption across sectors like construction, real estate and healthcare. Saudi Arabia Geospatial Analytics Market: A Comprehensive Report (2019-2033) This comprehensive report provides a detailed analysis of the burgeoning Saudi Arabia geospatial analytics market, offering invaluable insights for businesses, investors, and policymakers. The study period spans from 2019 to 2033, with 2025 serving as the base and estimated year. The market is projected to experience significant growth during the forecast period (2025-2033), driven by factors such as increasing government investment in infrastructure development, the adoption of smart city initiatives, and the rising demand for location-based services. This report meticulously analyzes market size, segmentation, trends, and future projections, providing a clear picture of this dynamic sector. Key players such as SAS Institute Inc, Esri Inc, and others, are profiled, offering a competitive landscape analysis. The report also assesses the impact of regulations and technological advancements on market growth. Furthermore, the report considers the substantial contributions from the Defense and Intelligence, Government, and Real Estate and Construction sectors to this burgeoning industry. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: High Costs and Operational Concerns, Concerns related to Geoprivacy and Confidential Data. Notable trends are: Geovisualization is Expected to Hold Significant Share of the Market.

  5. f

    Confusion matrix for images classified for scenario (ii).

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa (2023). Confusion matrix for images classified for scenario (ii). [Dataset]. http://doi.org/10.1371/journal.pone.0221115.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Confusion matrix for images classified for scenario (ii).

  6. e

    Saudi Arabia - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Apr 3, 2018
    + more versions
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    (2018). Saudi Arabia - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/saudi-arabia--population-density-2015
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    Dataset updated
    Apr 3, 2018
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Saudi Arabia
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Saudi Arabia data available from WorldPop here.

  7. r

    Data from: Modelling spatial distribution and association between spatial...

    • researchdata.edu.au
    Updated Jun 6, 2018
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    Jizan University: Saudi Arabia; Barclay Elaine; Kumar Lalit; Algahtany Mofza; University Saudi Arabia Jizan; Mofza Algahtany; Lalit Kumar; Elaine Barclay; Algahtany Mofza; Algahtany Mofza (2018). Modelling spatial distribution and association between spatial factors and criminal issues in Saudi Arabia [Dataset]. https://researchdata.edu.au/modelling-spatial-distribution-saudi-arabia/2292738
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    Dataset updated
    Jun 6, 2018
    Dataset provided by
    University of New England, Australia
    Authors
    Jizan University: Saudi Arabia; Barclay Elaine; Kumar Lalit; Algahtany Mofza; University Saudi Arabia Jizan; Mofza Algahtany; Lalit Kumar; Elaine Barclay; Algahtany Mofza; Algahtany Mofza
    Area covered
    Saudi Arabia
    Description

    This research study analysed the crime rate spatially and it examined the relationship between crime and spatial factors in Saudi Arabia. It reviewed the related literature that has utilised crime mapping techniques, such as Geographic Information Systems (GIS) and remote sensing (RS); these techniques are a basic part of effectively helping security and authority agencies by providing them with a clear perception of crime patterns and a surveillance direction to track and tackle crime. This study analysed the spatial relationships between crime and place, immigration, changes in urban areas, weather and transportation networks. The research study was divided into six parts to investigate the correlation between crime and these factors. The first part of the research study examined the relationship between crime and place across the 13 provinces of Saudi Arabia using GIS techniques based on population density in order to identify and visualise the spatial distributions of national and regional crime rates for drug crimes, thefts, murders, assaults, and alcohol-related and ‘outrageous crimes’ (offences against Islam) over a 10-year period from 2003 to 2012. Social disorganisation theory was employed to guide the study and explain the diversity in crime patterns across the country. The highest rates of overall crimes were identified in the Northern Borders Province and Jizan, which are located in the northern and southern regions of the country, respectively; the eastern area of the country was found to have the lowest crime rate. Most drug offences occurred in the Northern Borders Province and Jizan; high rates of theft were recorded in the Northern Borders Province, Jouf Province and Makkah Province, while the highest rates of homicide occurred in Asir Province. The second part of the research study aimed to determine the trends of overall crime in relation to six crime categories: drug-related activity, theft, murder, assault, alcohol-related crimes and outrageous or sex-related crimes, in Saudi Arabia’s 13 provinces over a 10-year period from 2003 to 2012. The study analysed the spatial and temporal changes of criminal cases. Spatial changes were used to determine the differences over the time period of 2003–2012 to show the provincial rates of change for each crime category. Temporal changes were used to compute the trends of the overall crime rate and crimes in the six categories per 1,000 people per year. The results showed that the overall crime rate increased steadily until 2008; thereafter it decreased in all areas except for the Northern Borders Province and Jizan, which recorded the highest crime rates throughout the study period. We have explained that decrease in terms of changes in wages, support for the unemployed and service improvements, which were factors that previous studies also emphasised as being the primary cause for the decrease. This study includes a detailed discussion to contribute to the understanding of the changes in the crime rates in these categories throughout this period in the 13 provinces of Saudi Arabia. The third part of the research study aimed to explain the effects of immigration on the overall crime rate in the six most significant categories of crime in Saudi Arabia, which are drug-related activity, theft, murder, assault, alcohol-related crimes and outrageous crimes, during a 10-year period from 2003 to 2012, in all 13 administrative provinces. It also sought to identify the provinces most affected by the criminal activities of immigrants during this period. No positive association between immigrants and criminal cases was found. It was clearly visible that the highest rate of overall criminal activities was in the south, north and Makkah areas, where there is a high probability of illegal immigrants. This finding supports the basic criminological theory that areas with high levels of immigrants also experience high rates of crime. The study’s results provide recommendations to the Saudi government, policy-makers, decision-makers and immigration authorities, which could assist in reducing crimes perpetrated by immigrants. In the fourth part of the research study, urban areas were examined in relation to crime rates. Urban area expansion is one of the most critical types of worldwide change, and most urban areas are experiencing increased population growth and infrastructure development. Urban change leads to many changes in the daily activities of people living within an affected area. Many studies have suggested that urbanisation and crime are related. However, those studies focused on land uses, types of land use and urban forms, such as the physical features of neighbourhoods, roads, shopping centres and bus stations. It is very important for criminologists and urban planning decision-makers to understand the correlation between urban area expansion and crime. In this research, satellite images were used to measure urban expansion over a 10-year period; the study tested the correlations between these expansions and the number of criminal activities within these specific areas. The results show that there is a measurable relationship between urban expansion and criminal activities. The findings support the crime opportunity theory as one possibility, which suggests that population density and crime are conceptually related. Moreover, the results show that the correlations are stronger in areas that have undergone greater urban growth. This study did not evaluate many other factors that might affect the crime rate, such as information on the spatial details of the population, city planning, economic considerations, the distance from the city centre, the quality of neighbourhoods, and the number of police officers. However, this research will be of particular interest to those who aim to use remote sensing to study crime patterns. The fifth part of the research study investigated the impacts of weather on crime rates in two different cities: Riyadh and Makkah. While a number of studies have examined climate influences on crime and human behaviour by investigating the correlation between climate and weather elements, such as temperature, humidity and precipitation, and crime rates, few studies have focused on haze as a weather element and its correlation with crime. This research examined haze as a weather variable to investigate its effects on criminal activity and compare its effects with those of temperature and humidity. Monthly crime data and monthly weather records were used to build a regression model to predict crime cases based on three weather factors using temperature, humidity and haze values. This model was applied to two provinces in Saudi Arabia with different types of climates: Riyadh and Makkah. Riyadh Province is a desert area in which haze occurs approximately 17 days per month on average. Makkah Province is a coastal area where it is hazy an average of 4 days per month. A measurable relationship was found between each of these three variables and criminal activity. However, haze had a greater effect on theft, drug-related crimes and assault in Riyadh Province than temperature and humidity. Temperature and humidity were the efficacious variables in Makkah Province, while haze had no significant influence in that region. Finally, the sixth part of the research study examined the influence of the quality and extent of road networks on crime rates in both urban and rural areas in Jizan Province, Saudi Arabia. We performed both Ordinary Least Squares regression (OLS) and Geographically Weighted Regression (GWR) where crime rate was the dependent variable and paved (sealed) roads, non-paved (unsealed/gravel) roads and population density were the explanatory variables. Population density was a control variable. The findings reveal that, across all 14 districts in that province, the districts with better quality paved road networks had lower rates of crime than the districts with unpaved roads. Furthermore, the more extensive the road networks, the lower the crime rate whether or not the roads were paved. These findings concur with those reported in studies conducted in other countries, which revealed that rural areas are not always the safe, crime-free places they are often believed to be. This research contributes knowledge about the geographical information of criminal movement, and it offers some conceivable reasons for crime rates and patterns in relation to the spatial factors and the socio-cultural perspectives of Saudi Arabian life. More geographical research is still needed in terms of criminology, which will provide a better understanding of crime patterns, particularly in Saudi Arabia, and across the globe, where the spatial distribution of criminal cases is an essential base in crime research. Furthermore, additional studies are needed to investigate the complex interventions of the effect of different spatial variables on crime and the uncertainties correlation with the impact of environmental factors. This can help predict the impact of socioeconomic and environmental factors. The greater part of such an investigation will enhance the understanding of crime patterns, which is imperative for advancing a framework that can be used to address crime reduction and crime prevention.

  8. S

    Saudi Arabia Switchgear Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 25, 2025
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    Data Insights Market (2025). Saudi Arabia Switchgear Market Report [Dataset]. https://www.datainsightsmarket.com/reports/saudi-arabia-switchgear-market-2816
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Saudi Arabia
    Variables measured
    Market Size
    Description

    Saudi Arabia Switchgear Market Overview and Drivers The Saudi Arabia switchgear market is projected to witness steady growth over the forecast period (2023-2033), reaching a market size of 3.04 million units by 2033. This growth is primarily driven by the increasing demand for electricity from various end-user industries, including residential, commercial, and industrial sectors. Furthermore, the country's focus on expanding its renewable energy infrastructure and upgrading existing power distribution networks is creating significant opportunities for switchgear manufacturers. Saudi Arabia's ambitious Vision 2030 plan, which aims to diversify the economy and reduce reliance on oil revenues, is also expected to contribute to the growth of the market. Market Trends, Restraints, and Competitive Landscape Key trends influencing the Saudi Arabia switchgear market include the adoption of smart grids, the growing demand for gas-insulated switchgear due to its compact design and higher efficiency, and the increasing use of renewable energy sources. However, market growth may be hampered by challenges such as fluctuating raw material prices and the need for skilled labor. Prominent players in the Saudi Arabia switchgear market include Havells Group, ABB Ltd, Hitachi Energy Ltd, Schneider Electric SE, TIEPCO, Siemens AG, META Switchgear Co, Eaton Corporation Plc, and BMC Manufacturing. These companies are focusing on product innovation, strategic partnerships, and expanding their presence in the region to capitalize on the growing market opportunities. This comprehensive report provides an in-depth analysis of the Saudi Arabia switchgear market, offering valuable insights into its current state, dynamics, and future prospects. Recent developments include: March 2023: Larsen & Toubro (L&T) announced that one of its key subsidiaries secured an order to build a 380kV substation in Saudi Arabia and the associated transmission interconnections. By implementing this order, Saudi Arabia's National Renewable Energy Programme seeks to increase the share of renewable energy generation in its energy mix., April 2022: Saudi Electricity Company (SEC) awarded Gas Insulated Switchgear (GIS) contracts to Hitachi Energy. The agreement includes designing, supplying, supervising, installing, testing, and commissioning 380kV and 132kV of gas-insulated switchgear for various substations like Afif BSP, Al Baha BSP, and Uwaiqilah BSP.. Key drivers for this market are: 4., Growing Power Demand from the Commercial and Industrial Sectors. Potential restraints include: 4., Stringent Environmental and Safety Regulations. Notable trends are: Gas Insulated Switchgear Hold Significant Market Share.

  9. K

    KSA Location-based Services Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 1, 2025
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    Market Report Analytics (2025). KSA Location-based Services Market Report [Dataset]. https://www.marketreportanalytics.com/reports/ksa-location-based-services-market-88363
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global, Saudi Arabia
    Variables measured
    Market Size
    Description

    The Kingdom of Saudi Arabia (KSA) Location-based Services (LBS) market is experiencing robust growth, fueled by rapid technological advancements, increasing smartphone penetration, and the government's push for digital transformation. The market's compound annual growth rate (CAGR) of 14% from 2019 to 2024 indicates significant market expansion. This growth is driven by several key factors. Firstly, the burgeoning e-commerce sector in KSA is significantly reliant on LBS for delivery optimization and customer engagement. Secondly, the flourishing tourism sector leverages LBS for navigation, personalized experiences, and location-based advertising. Thirdly, the government's investment in smart city initiatives is creating a fertile ground for LBS applications in areas like traffic management, public safety, and resource optimization. While the precise market size for 2025 is unavailable, given the 14% CAGR and assuming a reasonably sized market in 2024 (extrapolated to be approximately $300 million), the 2025 market size can be estimated to be around $342 million. The market segmentation reveals that hardware, software, and services are key components, with indoor and outdoor applications driving demand across sectors like transportation and logistics, IT and telecom, and healthcare. The competition is intense, with global players like Cisco and Google alongside regional players vying for market share. Looking ahead, the KSA LBS market is poised for further expansion in the coming years. The continuous development of 5G infrastructure, coupled with the growing adoption of IoT devices, will create new avenues for growth. Furthermore, the government's Vision 2030 initiative, focused on economic diversification and technological advancement, will continue to create favorable conditions for the growth of the LBS market. However, challenges remain, including data privacy concerns, cybersecurity threats, and the need for robust digital infrastructure in some areas. Addressing these challenges effectively will be crucial for sustained market expansion and the realization of the full potential of LBS in the KSA. Continued investment in technological innovation, coupled with a supportive regulatory environment, will play a vital role in shaping the future of the KSA LBS market. Recent developments include: January 2023: MDS for Computеr Systеms LLC еntеrеd into a stratеgic partnеrship with Cisco Systеms to dеlivеr its innovativе location-basеd solutions within Almoosa Spеcialist Hospital in Al Ahsa, Saudi Arabia. Thе implеmеntation includеs thе dеploymеnt of Cisco DNA and othеr third-party solutions, еncompassing Indoor Navigation, Wayfinding, Indoor Location Analytics, and Assеt Tracking, dеmonstrating thе incrеasing dеmand for location-basеd tеchnologiеs in thе nation. This surgе in intеrеst is furthеr fuеlеd by thе widеsprеad adoption of thеsе solutions in thе hеalthcarе sеctor across thе country., Dеcеmbеr 2022: bеaconsmind AG, a lеading global SaaS providеr spеcializing in location-basеd markеting and analytics, rеinforcеd its dominant markеt prеsеncе in Saudi Arabia by sеcuring a contract with Kamal Osman Jamjoom Group, a multi-channеl rеtailеr with a substantial footprint in thе Kingdom of Saudi Arabia.. Key drivers for this market are: The development of Smart City Projects in The Country is Driving The Market Growth, The Growing Trend of Digitalisation in the Country Supported by the Adoption of Smart Connected Devices. Potential restraints include: The development of Smart City Projects in The Country is Driving The Market Growth, The Growing Trend of Digitalisation in the Country Supported by the Adoption of Smart Connected Devices. Notable trends are: The development of Smart City Projects in The Country is Driving the Market Growth.

  10. f

    Summary statistics for the acquired areas of each surface cover class (ha)...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    + more versions
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    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa (2023). Summary statistics for the acquired areas of each surface cover class (ha) by scenario (i). [Dataset]. http://doi.org/10.1371/journal.pone.0221115.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary statistics for the acquired areas of each surface cover class (ha) by scenario (i).

  11. M

    Middle East Geospatial Analytics Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 21, 2025
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    Market Report Analytics (2025). Middle East Geospatial Analytics Market Report [Dataset]. https://www.marketreportanalytics.com/reports/middle-east-geospatial-analytics-market-88141
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Middle East
    Variables measured
    Market Size
    Description

    The Middle East Geospatial Analytics market, valued at $1.16 billion in 2025, is projected to experience robust growth, driven by significant investments in infrastructure development, smart city initiatives, and the burgeoning need for precise location intelligence across various sectors. A Compound Annual Growth Rate (CAGR) of 8.15% from 2025 to 2033 indicates a substantial expansion, with the market expected to surpass $2 billion by 2033. Key drivers include increasing adoption of advanced technologies like AI and machine learning within geospatial analytics, coupled with growing government initiatives promoting digital transformation and data-driven decision-making. The demand for accurate land management, resource optimization, and efficient urban planning is further fueling market expansion. Segmentation reveals strong growth in surface analysis and network analysis within the ‘By Type’ category, while the ‘By End-user Vertical’ segment is witnessing significant contributions from the Agriculture, Utility & Communication, and Defense & Intelligence sectors. The presence of established players like Esri, Bentley Systems, and Autodesk, alongside emerging specialized firms, ensures a competitive and dynamic market landscape. However, challenges like data security concerns, high implementation costs, and the need for skilled professionals could potentially restrain market growth. The Middle East's unique geopolitical landscape and rapid urbanization present both opportunities and challenges. Government initiatives focused on national infrastructure projects and sustainable development are creating substantial demand for geospatial analytics solutions. The region's focus on diversification beyond oil and gas is further stimulating adoption across sectors like agriculture, tourism, and transportation. However, regulatory hurdles and data privacy concerns, especially within the defense and intelligence sectors, need careful consideration. The high cost of sophisticated geospatial analytics technology and the need for specialized expertise might limit penetration in certain segments. Nevertheless, the long-term outlook remains optimistic, driven by the region's commitment to technological advancement and the increasing recognition of the value of data-driven insights for improved decision-making. Recent developments include: June 2023: Autodesk and Esri's partnership accelerated innovations in AEC. Autodesk's InfoWater Pro and Esri's ArcGIS Pro were integrated to make this possible, and there are many more examples of how their partnership with Esri enables BIM and GIS data to flow between respective solutions seamlessly. The result is that project stakeholders can now visualize, understand, and analyze infrastructure within its real-world context., February 2023: Mercedes-Benz and Google announced a long-term strategic partnership to accelerate auto innovation and create the industry's next-generation digital luxury car experience. With this partnership, Mercedes-Benz will be the first automaker to build its branded navigation experience based on new in-car data and navigation capabilities from the Google Maps Platform. This will give the luxury automaker access to Google's leading geospatial offering, including detailed information about places, real-time and predictive traffic information, automatic rerouting, and more.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Notable trends are: Surface Analysis is Expected to Hold Significant Share of the Market.

  12. s

    Saudi Arabia 1km Births

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Saudi Arabia 1km Births [Dataset]. http://doi.org/10.5258/SOTON/WP00576
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Saudi Arabia
    Description

    Version 1.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/).

  13. Freshwater Water Monitoring Stations and Treaties-Saudi Arabia

    • sdgs-uneplive.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated May 7, 2018
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    UN Environment, Early Warning &Data Analytics (2018). Freshwater Water Monitoring Stations and Treaties-Saudi Arabia [Dataset]. https://sdgs-uneplive.opendata.arcgis.com/datasets/freshwater-water-monitoring-stations-and-treaties-saudi-arabia-1
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    Dataset updated
    May 7, 2018
    Dataset provided by
    United Nations Environment Programmehttp://www.unep.org/
    Authors
    UN Environment, Early Warning &Data Analytics
    Area covered
    Description

    This map highlights 8962 stations with monthly discharge data, including data derived daily up to 20 December 2013. The GRDB (Global Runoff DataBase) is built on an initial dataset collected in the early 1980s from the responses to WMO (World Meteorological Organization request to its member countries to provide a global hydrological data set to complement a specific set of atmospheric data in the framework of the First Global GARP Experiment (FCGE). The initial dataset of monthly river discharge data over a period of several years around 1980 was supplemented with the UNESCO monthly river discharge data collection 1965-85. Today the database comprises discharge data of nearly 9.000 gauging stations from all over the world. Since 1993 the total number of station-years has increased by a factor of around 10.Credits and partnerships:OSU - College of Earth, Ocean and Atmospheric SciencesCarniege Corporation of New YGloabl orkNASCE - Northwest Alliance for Computational Science & EngineeringInternational Water Management InstituteUNESCO - United Nations Educational, Scientific and Cultural OrganisationUSGS - United States Geological Survey

  14. f

    Distribution of National Parks in Kingdom of Saudi Arabia - Dataset -

    • data.faoncvc.info
    Updated Apr 25, 2025
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    (2025). Distribution of National Parks in Kingdom of Saudi Arabia - Dataset - [Dataset]. https://data.faoncvc.info/dataset/metadata-national-parks-boundary-saudi-arabia-2025
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    Dataset updated
    Apr 25, 2025
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Saudi Arabia
    Description

    This is feature dataset of 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.

  15. S

    Saudi Arabia Satellite-based Earth Observation Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 27, 2025
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    Market Report Analytics (2025). Saudi Arabia Satellite-based Earth Observation Market Report [Dataset]. https://www.marketreportanalytics.com/reports/saudi-arabia-satellite-based-earth-observation-market-88030
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 27, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Saudi Arabia
    Variables measured
    Market Size
    Description

    The Saudi Arabian satellite-based Earth observation market is poised for significant growth, projected to reach a substantial size driven by the Kingdom's ambitious Vision 2030 initiatives. With a current market size of $120 million (estimated based on 0.12 value unit in millions) in 2025 and a compound annual growth rate (CAGR) of 10.02%, the market is expected to expand considerably by 2033. This expansion is fueled by several key factors. Firstly, the increasing need for precise and timely geospatial data across diverse sectors, including urban development (particularly in rapidly expanding cities), agriculture (optimizing resource management and improving crop yields), and infrastructure projects (monitoring construction progress and ensuring efficient resource allocation), is driving demand. Secondly, government initiatives promoting technological advancements and digital transformation within Saudi Arabia are providing a fertile ground for the growth of the satellite-based Earth observation sector. The adoption of advanced technologies such as high-resolution satellite imagery and sophisticated analytical tools further boosts market growth. Key players like Arabsat, Airbus, and Thales are actively contributing to this expansion through their provision of satellite data and value-added services. However, challenges remain. The high initial investment costs associated with satellite technology and data acquisition might hinder smaller companies' participation. Furthermore, ensuring data security and privacy alongside the need for skilled professionals to interpret and utilize this complex data present ongoing hurdles. Despite these challenges, the long-term outlook for the Saudi Arabian satellite-based Earth observation market remains extremely positive. The consistent governmental support, increasing private sector investment, and the burgeoning demand for geospatial intelligence across key economic sectors will continue to propel market growth throughout the forecast period (2025-2033), making it a lucrative market for both established and emerging players. The market segmentation, encompassing various satellite orbits (LEO, MEO, GEO) and end-use applications, offers diverse opportunities for specialized service providers. Recent developments include: April 2023 - King Abdullah University of Science and Technology (KAUST) successfully launched a Cubesat satellite with its partner Spire Global on the SpaceX Transporter-7 mission from Vandenberg Space Force Base in the US. The satellite's mission is to capture high-quality, high-resolution data from worldwide terrestrial, coastal, and ocean ecosystems to assist Saudi Arabia in observing and characterizing its unique natural resources. Aside from improving Earth observation capabilities, the satellite will produce data to aid in advancing Vision 2030 goals, particularly those connected to environmental protection and restoration., March 2023 - AALTO HAPS signed a memorandum of understanding (MoU) with stc Group on the introduction of HAPS-based solutions to the Kingdom of Saudi Arabia. The company's solutions will enable stc to expand its geographical coverage to rural and distant locations that are currently unconnected. Furthermore, HAPS solutions can be utilized to supplement coverage during crucial events and can be swiftly and readily deployed in the event of a natural disaster. AALTO HAPS is an Airbus company that delivers mobile connection, platform mobility, earth observation, and government applications from its stratospheric Zephyr solar-powered aircraft.. Key drivers for this market are: Rising Demand for the Environmental Monitoring, Growing Need to Generate Big Data to Offer Accurate Insights into Earth Observation. Potential restraints include: Rising Demand for the Environmental Monitoring, Growing Need to Generate Big Data to Offer Accurate Insights into Earth Observation. Notable trends are: Energy and Raw Materials Segment is Anticipated to Grow at a Significant rate.

  16. f

    Acquired satellite images.

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa (2023). Acquired satellite images. [Dataset]. http://doi.org/10.1371/journal.pone.0221115.t001
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Acquired satellite images.

  17. H

    Saudi Arabia - Subnational Population Statistics

    • data.humdata.org
    csv, pdf, xlsx
    Updated Apr 15, 2025
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    UNFPA (2025). Saudi Arabia - Subnational Population Statistics [Dataset]. https://data.humdata.org/dataset/cod-ps-sau
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    xlsx(20866), csv(1085), xlsx(10629), pdf(4533275), csv(6005)Available download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    UNFPA
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Saudi Arabia
    Description

    Saudi Arabia administrative level 0-1 sex and age disaggregated 2022 population statistics

    REFERENCE YEAR: 2022

    These tables are suitable for database or GIS linkage to the administrative level 0-1 layers in the Saudi Arabia - Subnational Administrative Boundaries using the ADM0, and ADM1_PCODE items.

  18. Average Household Size in Saudi Arabia

    • hub.arcgis.com
    Updated Jul 5, 2013
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    Esri (2013). Average Household Size in Saudi Arabia [Dataset]. https://hub.arcgis.com/maps/413039ecc1fa44889bfdbed3dde3f226
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    Dataset updated
    Jul 5, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map shows the average household size in Saudi Arabia in 2022, in a multiscale map (Country, Region, and Governorate). Nationally, the average household size is 5.2 people per household. It is calculated by dividing the household population by total households.The pop-up is configured to show the following information at each geography level:Average household size (people per household)Total populationTotal householdsCount of population by marital status The source of this data is Michael Bauer Research. The vintage of the data is 2022. This item was last updated in November, 2022 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  19. a

    Statistical Neighborhood

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • yourdata-unifiedgov.opendata.arcgis.com
    Updated Aug 24, 2016
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    Unified Government of Wyandotte County Kansas City, Ks (2016). Statistical Neighborhood [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/unifiedgov::statistical-neighborhood/about
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    Dataset updated
    Aug 24, 2016
    Dataset authored and provided by
    Unified Government of Wyandotte County Kansas City, Ks
    Area covered
    Description

    Map showing the statistical neighborhoods of Wyandotte County.By using this dataset you acknowledge the following:Kansas Open Records Act StatementThe Kansas Open Records Act provides in K.S.A. 45-230 that "no person shall knowingly sell, give or receive, for the purpose of selling or offering for sale, any property or service to persons listed therein, any list of names and addresses contained in, or derived from public records..." Violation of this law may subject the violator to a civil penalty of $500.00 for each violation. Violators will be reported for prosecution.By accessing this site, the user makes the following certification pursuant to K.S.A. 45-220(c)(2): "The requester does not intend to, and will not: (A) Use any list of names or addresses contained in or derived from the records or information for the purpose of selling or offering for sale any property or service to any person listed or to any person who resides at any address listed; or (B) sell, give or otherwise make available to any person any list of names or addresses contained in or derived from the records or information for the purpose of allowing that person to sell or offer for sale any property or service to any person listed or to any person who resides at any address listed."

  20. M

    Middle East Satellite Imagery Services Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 30, 2025
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    Market Report Analytics (2025). Middle East Satellite Imagery Services Market Report [Dataset]. https://www.marketreportanalytics.com/reports/middle-east-satellite-imagery-services-market-87663
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global, Middle East
    Variables measured
    Market Size
    Description

    The Middle East Satellite Imagery Services market, valued at $210 million in 2025, is poised for substantial growth, exhibiting a Compound Annual Growth Rate (CAGR) of 10.91% from 2025 to 2033. This expansion is driven by several key factors. Increased government investment in infrastructure projects, particularly in the UAE and Saudi Arabia, fuels demand for precise geospatial data for urban planning, construction, and transportation management. Furthermore, the rising need for effective border security and resource management, especially in vast desert regions, significantly contributes to market growth. The agricultural sector’s reliance on satellite imagery for precision farming and crop monitoring also adds to the demand. Technological advancements, such as higher-resolution imagery and improved analytical capabilities, are further accelerating market adoption. Competitive players like Airbus SE, Thales Group, and Maxar Technologies are driving innovation and expanding service offerings, catering to the diverse needs of government agencies, military organizations, and private sector companies. The market segmentation reveals a strong reliance on government and military sectors, but significant growth potential exists within the private sector, particularly in construction, transportation, and agriculture. The UAE and Saudi Arabia represent the largest market segments, reflecting their significant investments in infrastructure and national security. However, other regional players are likely to increase their participation in the coming years, driven by factors like increasing urbanization and the need for efficient resource management across the Middle East. The market's forecast demonstrates consistent growth, with the projected value exceeding $500 million by 2033, reflecting a continued investment in technology and its application across diverse sectors within the region. Recent developments include: July 2023: Impact Obsеrvatory, a prominеnt US-basеd spacе obsеrvation systеm company, forgеd a stratеgic partnеrship with Planеt Labs PBC, a global providеr of daily data and insights. This collaboration lеvеragеs cutting-еdgе artificial intеlligеncе (AI) analytics to continuously assеss land covеr and land usе (LULC) using Planеt Lab's high-frеquеncy, mеdium/high-rеsolution satеllitе data. Thе primary objеctivе of this partnеrship is to providе customеrs with supеrior spacе-basеd global mapping and monitoring solutions, surpassing thе capabilitiеs of publicly availablе satеllitе imagеry., Dеcеmbеr 2022: SpacеX achiеvеd a significant milеstonе by succеssfully dеploying an Israеli Earth-imaging satеllitе into orbit. This advancеd obsеrvation satеllitе, dеvеlopеd by thе Israеl-basеd rеmotе sеnsing company ImagеSat Intеrnational (ISI), is primarily dеdicatеd to military sеcurity and intеlligеncе applications. This accomplishmеnt marks a significant advancеmеnt for Israеl within thе global spacе industry.. Key drivers for this market are: Increasing Adoption of Location-based Services, Surge in the usage of Satellite data. Potential restraints include: Increasing Adoption of Location-based Services, Surge in the usage of Satellite data. Notable trends are: Increasing Adoption of Location-based Services.

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Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa (2023). Depicting changes in land surface cover at Al-Hassa oasis of Saudi Arabia using remote sensing and GIS techniques [Dataset]. http://doi.org/10.1371/journal.pone.0221115

Depicting changes in land surface cover at Al-Hassa oasis of Saudi Arabia using remote sensing and GIS techniques

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10 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
PLOS ONE
Authors
Abdulrahman Mohamed Almadini; Abdalhaleem Abdalla Hassaballa
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Saudi Arabia
Description

This study assessed the spatial and temporal variations of land cover in the agricultural areas of the Al-Hassa oasis, Kingdom of Saudi Arabia (KSA). Change detection technique was applied in order to classify variations among different surface cover aspects, during three successive stages between 1985 and 2017 (i.e., 1985 to 1999 (14 years), 1999 to 2013 (14 years), and 2013 to 2017 (4 years)), using two scenarios. During the first stage, significant urban sprawl (i.e., 3,200 ha) occurred on bare lands within the old oasis, while only 590 ha of the oasis’s vegetation area was occupied by urban cover. However, the final stage revealed rapid urban development (1,270 ha by 2017) within the oasis’s vegetation region, while no urban sprawl occurred on bare lands (area of 1,900 ha, same as that in 1999–2013). Vegetation cover of around 1,000 ha changed to the bare soil class, in addition to the areas that were occupied by the urban class (1,700 ha in total). The study provides quantitative information on the influence of urban development on the spatial changes in vegetation cover of the oasis, especially during recent decades.

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