This scene highlights layers for Berlin, Germany available in ArcGIS to support your work in 3D. Use these layers in conjunction with your own layers to create new scenes focused on a specific topic or area of interest to you.What's in this scene? Terrain: Includes a global 3D terrain layer to provide elevation context. Your layers are placed in relationship to this terrainBasemap: Includes one of the ArcGIS Basemaps regularly used in in your mapping workScene Layers: Includes a layer of 3D buildings to help understand your data within the context of the built environment. The layer is a file type optimized for rendering in 3D.Create your own sceneOpen this item using the Open in Scene Viewer buttonChoose basemap: Select one of the ArcGIS basemaps from the Basemap GalleryAdd your own unique layersCreate slides to direct users to interesting places in your scene - See MoreSave and share the results of your work with others in your organization and the publicFor more see these helpful videosMashup 3D Content Using ArcGIS OnlineAuthor Web Scenes Using ArcGIS Online

Download high-quality, up-to-date Germany shapefile boundaries (SHP, projection system SRID 4326). Our Germany Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

The German geospatial analytics market is experiencing robust growth, projected to reach €1.30 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 11.90% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing adoption of precision agriculture techniques, coupled with the need for efficient resource management in utilities and communication sectors, is significantly boosting demand. Furthermore, the defense and intelligence communities are leveraging geospatial analytics for enhanced surveillance and strategic decision-making, contributing substantially to market growth. Advancements in sensor technologies, coupled with the rise of big data and improved analytical capabilities, are enabling more sophisticated applications across various sectors. The rising adoption of cloud-based geospatial analytics platforms further enhances accessibility and affordability, driving market penetration. Government initiatives promoting digitalization and smart city projects also stimulate market growth by creating demand for advanced geospatial solutions. However, data privacy concerns and the high cost of implementation remain key restraints to market expansion. Segmentation reveals strong growth across all types of geospatial analytics (surface analysis, network analysis, geovisualization), with Agriculture, Utility & Communication, and Defense & Intelligence segments leading the end-user vertical landscape. The competitive landscape includes both global giants like Hexagon, Esri, and Bentley Systems, as well as specialized players such as Geospin and Bluesky International. These companies are strategically investing in R&D to develop advanced algorithms and integrate AI/ML capabilities into their offerings, catering to the evolving needs of their clients. The market is characterized by a mix of established players and innovative startups, leading to increased competition and a focus on delivering advanced, cost-effective solutions. The market's future trajectory suggests a continued rise, driven by technological innovation and increasing data availability, further solidifying geospatial analytics' crucial role in diverse sectors within the German economy. The forecast period of 2025-2033 promises significant expansion, particularly in sectors experiencing rapid digital transformation. Recent developments include: November 2023 - Hexagon’s Manufacturing Intelligence branch unveiled Nexus Connected Worker, a collection of manufacturing software solutions that links employees to up-to-the-minute data for informed insights and reporting on operations, maintenance, quality, and audits. The suite offers strong integration with enterprise systems and serves as a hub for digital depictions of assets, processes, and production sites to aid in real-time decision-making., October 2023 - Bentley Systems announced that Seequent, a subsidiary of Bentley specializing in subsurface technology, has agreed to purchase Flow State Solutions, a top player in geothermal simulation software. The decision strengthens Seequent's position as the top provider of subsurface software for the geothermal sector.. 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: Rollout of 5G will Boost Market Growth.

The German geospatial imagery analytics market is experiencing robust growth, projected to reach €0.62 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 26.77% from 2025 to 2033. This expansion is driven by several key factors. Increasing government investments in infrastructure development and smart city initiatives fuel demand for precise geospatial data analysis. Furthermore, the agricultural sector's adoption of precision farming techniques leveraging imagery analytics for yield optimization and resource management contributes significantly to market growth. The insurance industry also utilizes this technology for risk assessment and claims processing, boosting market demand. Advancements in sensor technology, providing higher-resolution imagery and improved data processing capabilities, further accelerate market expansion. The increasing availability of cloud-based solutions offers scalability and cost-effectiveness, making geospatial imagery analytics accessible to a broader range of organizations, from SMEs to large enterprises. While data privacy concerns and the need for skilled professionals represent potential restraints, the overall market outlook remains exceptionally positive. The market segmentation reveals a dynamic landscape. Cloud deployment is anticipated to dominate due to its inherent flexibility and scalability advantages. Within the type segment, video analytics is projected to witness faster growth than imagery analytics, driven by the rising need for real-time monitoring and analysis in various sectors such as security and environmental monitoring. Large enterprises currently hold a larger market share compared to SMEs; however, increased awareness and affordability of cloud-based solutions are likely to drive significant growth within the SME segment in the coming years. The defense and security, and environmental monitoring verticals are expected to lead market adoption due to the critical nature of their applications. Companies such as Hexagon AB, Esri Deutschland GmbH, and Airbus SE are key players, driving innovation and competition within the German market. The consistent growth trajectory suggests that the German geospatial imagery analytics market will remain a lucrative investment opportunity throughout the forecast period. Recent developments include: January 2024 - LiveEO, a Berlin-based Earth observation scaleup company that specializes in using AI to analyze Earth observation data in support of critical transport and energy infrastructure, launched its EUDR Expert. It is an AI compliance advisor solution that helps understand the complexities and challenges that clients face with the EU Deforestation Regulation (EUDR)., September 2023 - European Space Imaging (EUSI), a provider of very high resolution (VHR) optical satellite imagery, partnered with Umbra, a company in advanced space radar technology. This partnership aids customers in buying Umbra’s synthetic aperture radar (SAR) data directly through EUSI across Europe, including Germany, increasing the availability of geospatial imagery data and creating a market growth opportunity for analytics software.. Key drivers for this market are: The Growth of Infrastructure Development and Urban Planning in the Country, The Growing Demand for High-resolution Satellite Data for Crisis Response, Environmental Monitoring, and Nature Conservation Efforts. Potential restraints include: The Growth of Infrastructure Development and Urban Planning in the Country, The Growing Demand for High-resolution Satellite Data for Crisis Response, Environmental Monitoring, and Nature Conservation Efforts. Notable trends are: Imagery Analytics Contributes Significantly to the Market Share.

This map shows where senior populations are found throughout the world. Areas with more than 10% seniors are highlighted with a dark red shading while a dot representation reveals the number of seniors and their distribution in bright red.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

This is a demonstration layer implementing streamlined INSPIRE data according to the INSPIRE rules for Alternative Encoding. It is provided as a courtesy and should not be used for any purpose other than demonstration.ArcGIS INSPIRE Open Data is a lightweight solution for European public sector organizations implementing the INSPIRE and PSI-2/Open Data Directives. See the Getting to know ArcGIS INSPIRE Open Data story map to learn more.Geodatabase (GDB) templates are available on the ArcGIS INSPIRE Open Data demonstration Hub. INSPIRE Alternative Encoding documentation on GitHub is publicly available per the Implementing Rules on interoperability of spatial data sets and services (Commission Regulation (EU) No 1089/2010). These resources are provided as-is and are freely available.

Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

This map is created and published by Stamen Design. Reminiscent of hand drawn maps, our watercolor maps apply raster effect area washes and organic edges over a paper texture to add warm pop to any map. Watercolor was inspired by the Bicycle Portraits project. Thanks to Cassidy Curtis for his early advice.

This map shows the extents of the various datasets comprising the World Elevation services – Terrain and TopoBathy.Topography SourcesThe Le système d'information du territoire à Genève (SITG) 0.5 meters DTM covers metropolitan Grand Geneva region of France and Switzerland.The Amt für Geoinformation Basel-Landschaft 0.25 meters DTM covers Canton of Basel-Landschaft, Switzerland.The Amt für Geoinformation Solothurn 0.5 meters DTM covers Canton of Solothurn, Switzerland.The Aargauische Geografische Informationssystem (AGIS) 0.5 meters DTM covers Canton of Aargau, Switzerland.The Amt für Raumentwicklung, Kanton Zürich 0.5 meters DTM covers Canton of Zurich, Switzerland.Ayuntamiento de Madrid 1 meter DTM covers entire Madrid city, Spain.The Instituto Geográfico Nacional (IGN) 5 and 10 meters DTM covers entire Spain.The Environment Agency 2 meters DTM covers 70 % of England.The Natural Resources Wales 2 meters DTM covers 70 % of Wales.The Scottish Government 1 meter DTM covers partial areas of Scotland.The AHN Netherlands (AHN2) 3 meters* DTM covers entire Netherlands.The Geospatial Information Authority of Japan (GSI) 0.2 arc second (approx. 5 meters) DEM5A & DEM5B covers partial areas of Japan and 0.4 arc second (approx. 10 meters) DEM10B covers entire Japan. Fundamental Geospatial Data provided by GSI with Approval Number JYOU-SHI No.1239 2016.The Geoland 10 meters DTM covers entire Austria.City of Vienna 1 meter DTM covers entire Vienna city, Austria.Land Oberösterreich 0.5 meters DTM covers entire state of Upper Austria, Austria.Land Salzburg 5 meters DTM covers entire state of Salzburg, Austria.Land Vorarlberg 5 meters DTM covers entire state of Vorarlberg, Austria.Land Tyrol 5 meters DTM covers entire state of Tyrol, Austria.Land Carinthia 5 meters DTM covers entire state of Carinthia, Austria.The Estonian Land Board 1, 5 and 10 meters DTM’s covers entire Estonia.Land NRW 1 meter DTM covers entire state of Nordrhein-Westfalen, Germany.The Geodatastyrelsen DTM (approx. 3 meters* and 10 meters) dataset covers entire Denmark.The National Land Survey of Finland 3 meters* and 10 meters DTM covers partial areas of Finland and entire Finland respectively.The Norwegian Mapping Authority 10 m DTM covers entire Norway.The Ordnance Survey’s OS Terrain 50 (50 meters) dataset covers Great Britain.The Natural Resources Conservation Service (NRCS), USDA 1 meter dataset covers partial areas of the conterminous United States.The FEMA LiDAR DTM (approx. 3 meters) covers partial areas of the conterminous United States.The USGS 3D Elevation Program’s (3DEP) 1 meter dataset covers partial areas of the conterminous United States.The National Elevation Dataset (NED) 1/9 arc second (approx. 3 meters) dataset covers partial areas of the conterminous United States and small areas of Alaska.The National Elevation Dataset (NED) 1/3 arc second (approx. 10 meters) dataset covers the conterminous United States, Hawaii, partial Alaska, and Territorial Islands of the United States.The National Elevation Dataset (NED) 1 arc second (approx. 31 meters) dataset covers the conterminous United States, Hawaii, partial Alaska, Puerto Rico, Territorial Islands of the United States, Canada and Mexico.The National Elevation Dataset (NED) 2 arc second (approx. 62 meters) dataset covers the state of Alaska.WorldDEM4Ortho 0.8 arc second (approx. 24 meters) dataset from Airbus Defense and Space GmbH covers entire earth's land surface excluding the countries of Azerbaijan, DR Congo and Ukraine.The Shuttle Radar Topography Mission (SRTM) 1 arc second (approx. 31 meters) dataset from NASA covers all land areas between 60 degrees north and 56 degrees south except Australia (which is covered by DEM-S from Geoscience Australia).The Shuttle Radar Topography Mission (SRTM) 1 arc second (approx. 31 meters) DEM-S dataset from Geoscience Australia covers Australia.The Shuttle Radar Topography Mission (SRTM) 3 arc second (approx. 93 meters) dataset covers all land areas between 60 degrees north and 56 degrees south.The EarthEnv-DEM90 3 arc second (approx. 93 meters) dataset covers approx. 90% of globe.Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) 7.5, 15 and 30 arc second (approx. 232, 464 and 928 meters) datasets cover global land areas.Bathymetry SourcesBureau of Ocean Energy Management (BOEM) 40 feet (approx. 12 meters) deepwater bathymetry grid covers northern Gulf of Mexico.NCEI NOAA's 1/9 arc second (approx. 3 meters) dataset covers Puerto Rico, U.S Virgin Islands and partial areas of eastern and western United States coast.NCEI NOAA's 1/3 arc second (approx. 10 meters) dataset covers partial areas of eastern and western United States coast.NCEI NOAA's 1 arc second (approx. 31 meters) dataset covers partial areas of northeastern United States coast.NCEI NOAA's 3 arc second (approx. 93 meters) dataset covers partial areas of northeastern United States coast.NOAA's U.S. Coastal Relief Model (CRM) 1 arc second (approx. 31 meters) covers Southern California Coast (Version 2).NOAA's U.S. Coastal Relief Model (CRM) 3 arc second (approx. 93 meters) covers United States Coast.Geoscience Australia’s Indian Ocean Bathymetry 150 meters covers MH370 flight search area (Phase 1).General Bathymetric Chart of the Oceans (GEBCO) 30 arc second (approx. 928 meters) dataset covers the entire globe (GEBCO 2014 version 20150318).* The original source data resampled to approx. 3 meters.** Bathymetry datasets are part of TopoBathy service only.Disclaimer: Bathymetry data sources are not to be used for navigation/safety at sea.

This is a demonstration layer implementing streamlined INSPIRE data according to the INSPIRE rules for Alternative Encoding. It is provided as a courtesy and should not be used for any purpose other than demonstration.ArcGIS INSPIRE Open Data is a lightweight solution for European public sector organizations implementing the INSPIRE and PSI-2/Open Data Directives. See the Getting to know ArcGIS INSPIRE Open Data story map to learn more.Geodatabase (GDB) templates are available on the ArcGIS INSPIRE Open Data demonstration Hub. INSPIRE Alternative Encoding documentation on GitHub is publicly available per the Implementing Rules on interoperability of spatial data sets and services (Commission Regulation (EU) No 1089/2010). These resources are provided as-is and are freely available.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

Our Germany zip code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Global Map of Irrigation Areas - Version 5 Grid with percentage of area equipped for irrigation with a spatial resolution of 5 arc minutes or 0.083333 decimal degrees. This dataset is developed in the framework of the AQUASTAT Programme of the Land and Water Division of the Food and Agriculture Organization of the United Nations and the Rheinische Friedrich-Wilhems University, Germany. The map shows the amount of area equipped for irrigation around the year 2005 in percentage of the total area on a raster with a resolution of 5 minutes. Additional map layers show the percentage of the area equipped for irrigation that was actually used for irrigation and the percentages of the area equipped for irrigation that was irrigated with groundwater, surface water or non-conventional sources of water. In details, the following products have been released and made available for download:

• Area equipped for irrigation expressed as percentage of total area: total=aei, surface water=aeisw, groundwater=aeigw, non-conventional sources of water=aeinc (ASCII-grid);

• Area actually irrigated expressed as percentage of area equipped for irrigation (ASCII-grid);

• Area equipped for irrigation expressed in hectares per cell (ASCII-grid);

• Irrigated areas v.5 (ESRI shapefile);

• High and low resolution images (PDF);

• Quality Assessment (Excel)

Due to the map generation method, the quality of the map can never be uniform. The overall quality of the map depends heavily on the individual quality of the data for the different countries.

Data revision: 2013-10-07

Supplemental Information:

The maps are generated as a grid with a cellsize of 5 arc minutes. For the GIS-users the maps are distributed in two different formats: as a zipped ASCII-grid that can be easily imported in most GIS-software that support rasters or grids; and, to accommodate people who use GIS-software that doesn't support rasters or grids, as a zipped ESRI shape file. The non-GIS-users can download the map as PDF-file in two different resolutions.

Citation:

Users are requested to refer to the map as follows: "Stefan Siebert, Verena Henrich, Karen Frenken and Jacob Burke (2013). Global Map of Irrigation Areas version 5. Rheinische Friedrich-Wilhelms-University, Bonn, Germany / Food and Agriculture Organization of the United Nations, Rome, Italy".

Contact points:

Metadata Contact: AQUASTAT

Data lineage:

Due to the map generation method, the quality of the map can never be uniform. The overall quality of the map depends heavily on the individual quality of the data for the different countries.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO

Online resources:

Global Map of Irrigation Areas (GMIA) on the AQUASTAT website

Download - Global area equipped for irrigation expressed as percentage of total area - Raster (ASCII-grid, 2.3 MB)

Download - Global area equipped for irrigation expressed in hectares per cell - Raster (ASCII-grid, 2.3 MB)

Download - Global Map of Irrigation Areas v.5 - Vector (ESRI shapefile, 4 MB)

Download - Global Map of Irrigation Areas v.5 - All files

Download - Global Map of Irrigation Areas v.5 - High resolution image (PDF, 3.1 MB)

Download - Global Map of Irrigation Areas v.5 - Low resolution image (PDF, 0.9 MB)

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GIS In Utility Industry Market Size 2025-2029

The gis in utility industry market size is forecast to increase by USD 3.55 billion, at a CAGR of 19.8% between 2024 and 2029.

The utility industry's growing adoption of Geographic Information Systems (GIS) is driven by the increasing need for efficient and effective infrastructure management. GIS solutions enable utility companies to visualize, analyze, and manage their assets and networks more effectively, leading to improved operational efficiency and customer service. A notable trend in this market is the expanding application of GIS for water management, as utilities seek to optimize water distribution and reduce non-revenue water losses. However, the utility GIS market faces challenges from open-source GIS software, which can offer cost-effective alternatives to proprietary solutions. These open-source options may limit the functionality and support available to users, necessitating careful consideration when choosing a GIS solution. To capitalize on market opportunities and navigate these challenges, utility companies must assess their specific needs and evaluate the trade-offs between cost, functionality, and support when selecting a GIS provider. Effective strategic planning and operational execution will be crucial for success in this dynamic market.

What will be the Size of the GIS In Utility Industry Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe Global Utilities Industry Market for Geographic Information Systems (GIS) continues to evolve, driven by the increasing demand for advanced data management and analysis solutions. GIS services play a crucial role in utility infrastructure management, enabling asset management, data integration, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage management, and spatial analysis. These applications are not static but rather continuously unfolding, with new patterns emerging in areas such as energy efficiency, smart grid technologies, renewable energy integration, network optimization, and transmission lines. Spatial statistics, data privacy, geospatial databases, and remote sensing are integral components of this evolving landscape, ensuring the effective management of utility infrastructure. Moreover, the adoption of mobile GIS, infrastructure planning, customer service, asset lifecycle management, metering systems, regulatory compliance, GIS data management, route planning, environmental impact assessment, mapping software, GIS consulting, GIS training, smart metering, workforce management, location intelligence, aerial imagery, construction management, data visualization, operations and maintenance, GIS implementation, and IoT sensors is transforming the industry. The integration of these technologies and services facilitates efficient utility infrastructure management, enhancing network performance, improving customer service, and ensuring regulatory compliance. The ongoing evolution of the utilities industry market for GIS reflects the dynamic nature of the sector, with continuous innovation and adaptation to meet the changing needs of utility providers and consumers.

How is this GIS In Utility Industry Industry segmented?

The gis in utility industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductSoftwareDataServicesDeploymentOn-premisesCloudGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaMiddle East and AfricaUAEAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW).

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.In the utility industry, Geographic Information Systems (GIS) play a pivotal role in optimizing operations and managing infrastructure. Utilities, including electricity, gas, water, and telecommunications providers, utilize GIS software for asset management, infrastructure planning, network performance monitoring, and informed decision-making. The GIS software segment in the utility industry encompasses various solutions, starting with fundamental GIS software that manages and analyzes geographical data. Additionally, utility companies leverage specialized software for field data collection, energy efficiency, smart grid technologies, distribution grid design, renewable energy integration, network optimization, transmission lines, spatial statistics, data privacy, geospatial databases, GIS services, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage ma

We present a detailed geomorphological map (1:5000-scale) of a middle mountainous area in Jena, Germany. To overcome limitations associated with traditional field-based approaches and to extend the possibility of manually digital mapping in a structural way, we propose an approach using geographic information systems (GIS) and high-resolution digital data. The geomorphological map features were extracted by manually interpreting and analyzing the combination of different data sources using light detection and ranging (LiDAR) data. A combination of topographic and geological maps, digital orthophotos (DOPs), Google Earth images, field investigations, and derivatives from digital terrain models (DTMs) revealed that it is possible to generate and present the geomorphologic features involved in classical mapping approaches. We found that LiDAR-DTM and land surface parameters (LSPs) can provide better results when incorporating the visual interpretation of multidirectional hillshade and LSP composite maps. The genesis of landforms can be readily identified, and findings enabled us to systematically delineate landforms and geomorphological process domains. Although our approach provides a cost effective, objective, and reproducible alternative for the classical approach, we suggest that further use of digital data should be undertaken to support analysis and applications.

Bombing raids were a key strategy during the Second World War, used by both Nazi Germany and the Allies to damage a city's infrastructure, weakening its ability to support the country’s war effort. On the 7th of September 1940, a raid of German bombers advanced on London, targeting its Docklands areas - an essential hub for industry and trade and important to Britain's war production. That night, over 800 bombs were dropped across the city, marking the start of eight months of near-continuous bombing, known as 'The Blitz'. Keep reading to learn more about its first night.

This layer represents the Caucasus Ecoregion Caucasus. Data provided by WWF. It has been produced by WWF Caucasus and WWF Germany offices, and is available from http://panda.maps.arcgis.com/home/item.html?id=5980f8f3e3744711865567948e87ba77. Terrestrial ECOS WWF Over the past eight years WWF's Conservation Science Program (CSP) has developed a biogeographic regionalization of the Earth's terrestrial biodiversity. WWF term their biogeographic units ecoregions, which they define as a relatively large units of land or water containing a distinct assemblage of natural communities sharing a large majority of species, dynamics, and environmental conditions. Ecoregions represent the original distribution of distinct assemblages of species and communities. There are multiple uses for the terrestrial ecoregion map in WWF efforts to conserve biodiversity around the world. This data is only for non-commercial use and must be credited with the following "Data provided by WWF". Information may not be reproduced or downloaded without permission from WWF.

This map shows the percentage of the population under the age of 15 in Germany by multiple levels of geography. These levels are Country, State, District, Municipality, and Neighborhood (Country, Bundeslaender, Kreise, Gemeinden, and Wohnquartier, respectively). Nationally, 13.7% of the German population is under the age of 15.The pop-up is configured to include the following information for each geography level:Total PopulationPopulation under the age of 15 (count and % of population)Count of population by ageBeneath the administrative layer, there is a postal boundary layer available. The postal layer contains the same classification and pop-up configuration, but utilizes postal boundaries (Postal Zone, Postal Region, and Postcode). The source of this information is Nexiga. The vintage of the data shown is 2021. For more information about Esri demographics including geography levels, click here.Permitted use of this data is covered in Section 4.0 DATA of the Esri Master Agreement (E204CW) and these supplemental terms.

In 1982, a study by the European Commission provided a complete catalogue of national water resources for several Member States of the European Union (Belgium, Federal Republic of Germany, Denmark, France, Ireland, Italy, Luxembourg, Netherlands and United Kingdom). This catalogue comprised a series of groundwater resources maps of Europe, at scale 1:500,000 ; there were 38 map sheets covering four themes: Inventory of aquifers; Hydrogeology of aquifers; Groundwater abstraction; Potential additional groundwater resources. These maps, covering 9 countries - Belgium, Federal Republic of Germany, Denmark, France, Ireland, Italy, Luxembourg, Netherlands and United Kingdom, were compiled from existing data sources. For an overview of the European study (synthetical report and country reports), look on Groundwater Resources project page.. The European Crop Protection Association (ECPA), commissioned a project to digitise the maps so that they could be used in Geographic Information Systems together with other European level environmental datasets describing soil, climate, weather, land use, topography, etc. A project report " A Digital Dataset of European Groundwater Resources at 1:500,000. (V. 1.0)" describes the resulting digital dataset, explains some implications of using the data in relation to pesticide fate and behaviour and highlights a number of issues that should be considered when using it. The information was digitized for the first three themes but not for the latter (4. Potential additional groundwater resources) because for this the data sets were considered to be outdated. All details of the digitization process are described in the project report. It describes the published paper maps and reports, from which the dataset was derived, the digital dataset, its formats and attribute data and highlights a number of issues that should be taken into account when using the dataset, particularly if it is used in a Geographic Information System (GIS) with other European-level digital data. An overview of all 148 resulting maps (as .jpeg images) is given on Groundwater Resources project page. The digital data are organized in the following European-wide layers : Theme1: Aquifers Theme2A : Groundwater hydrology, directions of groundwater flow and of water transfers; Theme2C : Groundwater hydrology, contours of the watertable or the potentiometric surface; Theme2W : Groundwater hydrology, Springs; Theme2S : Groundwater hydrology, Areas of seawater intrusion or saline groundwater; Theme3 : Groundwater abstraction ; The data are offered as ESRI shapefiles ; one set of the data is in the Spatial Reference System according to GISCO (documented in the GISCO Database Manual, in Chapter 3 "Main characteristics of the GISCO reference database" under "Spatial Reference System") ; another set of the same data is in the INSPIRE proposed ETRS_LAEA reference system. Legends for these themes are available in .avl format, compatible with ArcView3.2. These legend files can be imported into ArcGis but are presented slightly different.

This is a demonstration layer implementing streamlined INSPIRE data according to the INSPIRE rules for Alternative Encoding. It is provided as a courtesy and should not be used for any purpose other than demonstration.ArcGIS INSPIRE Open Data is a lightweight solution for European public sector organizations implementing the INSPIRE and PSI-2/Open Data Directives. See the Getting to know ArcGIS INSPIRE Open Data story map to learn more.Geodatabase (GDB) templates are available on the ArcGIS INSPIRE Open Data demonstration Hub. INSPIRE Alternative Encoding documentation on GitHub is publicly available per the Implementing Rules on interoperability of spatial data sets and services (Commission Regulation (EU) No 1089/2010). These resources are provided as-is and are freely available.