Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) buildings data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

The global 3D mapping and modeling market is expected to grow significantly in the next few years as demand increases for detailed and accurate representations of physical environments in three-dimensional space. Estimated to be valued at USD 38.62 billion in the year 2025, the market was expected to grow at a CAGR of 14.5% from 2025 to 2033 and was estimated to reach an amount of USD 90.26 billion by the end of 2033. The high growth rate is because of improvement in advanced technologies with the development of high-resolution sensors and methods of photogrammetry that make possible higher-resolution realistic and immersive 3D models.Key trends in the market are the adoption of virtual and augmented reality (VR/AR) applications, 3D mapping with smart city infrastructure, and increased architecture, engineering, and construction utilization of 3D models. Other factors are driving the growing adoption of cloud-based 3D mapping and modeling solutions. The solutions promise scalability, cost-effectiveness, and easy access to 3D data, thus appealing to business and organizations of all sizes. Recent developments include: Jun 2023: Nomoko (Switzerland), a leading provider of real-world 3D data technology, announced that it has joined the Overture Maps Foundation, a non-profit organization committed to fostering collaboration and innovation in the geospatial domain. Nomoko will collaborate with Meta, Amazon Web Services (AWS), TomTom, and Microsoft, to create interoperable, accessible 3D datasets, leveraging its real-world 3D modeling capabilities., May 2023: The Sanborn Map Company (Sanborn), an authority in 3D models, announced the development of a powerful new tool, the Digital Twin Base Map. This innovative technology sets a new standard for urban analysis, implementation of Digital Cities, navigation, and planning with a fundamental transformation from a 2D map to a 3D environment. The Digital Twin Base Map is a high-resolution 3D map providing unprecedented detail and accuracy., Feb 2023: Bluesky Geospatial launched the MetroVista, a 3D aerial mapping program in the USA. The service employs a hybrid imaging-Lidar airborne sensor to capture highly detailed 3D data, including 360-degree views of buildings and street-level features, in urban areas to create digital twins, visualizations, and simulations., Feb 2023: Esri, a leading global provider of geographic information system (GIS), location intelligence, and mapping solutions, released new ArcGIS Reality Software to capture the world in 3D. ArcGIS Reality enables site, city, and country-wide 3D mapping for digital twins. These 3D models and high-resolution maps allow organizations to analyze and interact with a digital world, accurately showing their locations and situations., Jan 2023: Strava, a subscription-based fitness platform, announced the acquisition of FATMAP, a 3D mapping platform, to integrate into its app. The acquisition adds FATMAP's mountain-focused maps to Strava's platform, combining with the data already within Strava's products, including city and suburban areas for runners and other fitness enthusiasts., Jan 2023: The 3D mapping platform FATMAP is acquired by Strava. FATMAP applies the concept of 3D visualization specifically for people who like mountain sports like skiing and hiking., Jan 2022: GeoScience Limited (the UK) announced receiving funding from Deep Digital Cornwall (DDC) to develop a new digital heat flow map. The DDC project has received grant funding from the European Regional Development Fund. This study aims to model the heat flow in the region's shallower geothermal resources to promote its utilization in low-carbon heating. GeoScience Ltd wants to create a more robust 3D model of the Cornwall subsurface temperature through additional boreholes and more sophisticated modeling techniques., Aug 2022: In order to create and explore the system's possibilities, CGTrader worked with the online retailer of dietary supplements Hello100. The system has the ability to scale up the generation of more models, and it has enhanced and improved Hello100's appearance on Amazon Marketplace.. Key drivers for this market are: The demand for 3D maps and models is growing rapidly across various industries, including architecture, engineering, and construction (AEC), manufacturing, transportation, and healthcare. Advances in hardware, software, and data acquisition techniques are making it possible to create more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations.

. Potential restraints include: The acquisition and processing of 3D data can be expensive, especially for large-scale projects. There is a lack of standardization in the 3D mapping modeling industry, which can make it difficult to share and exchange data between different software and systems. There is a shortage of skilled professionals who are able to create and use 3D maps and models effectively.. Notable trends are: 3D mapping and modeling technologies are becoming essential for a wide range of applications, including urban planning, architecture, construction, environmental management, and gaming. Advancements in hardware, software, and data acquisition techniques are enabling the creation of more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations..

Project Y4 Deliverable #5 3D maps/GIS of specific districts to be built on Y2 regional 3D map (Laverton, Kalgoorie-Kambalda)

3D Viewer showcases your scene with default 3D navigation tools, including zoom controls, pan, rotate, and compass. Include a Locator map and Bookmarks to provide context to your scene and guide viewers to points of interest. Line of sight, measure, and slice tools allow viewers to interpret 3D data. Set the option to disable scroll in the app to seamlessly embed this app in another app or site. Examples:Present detailed 3D view of a mountainous region at a large scale while the 2D locator map provides an overview of where you are in the worldDisplay a detailed 3D plan for new urban development that app viewers can explore with slice and measurement toolsAllow users to visualize the impact of shadows on your scene using daylight animationData RequirementsThis app has no data requirements.Key App Capabilities3D navigation and compass tool - Allow app viewers to pan or rotate the scene and orient their view to NorthLocator map - Show a map with the app's map area in the context of a broader areaLine of sight - Visualize if one or multiple targets are visible from an observation pointMeasurement tools - Provide tools to measure distance and areaSlice - Exclude specific layers to change the view of a sceneBookmarks - Zooms and pans the map to a collection of preset extents that are saved in the sceneDisable scroll - Prevents the map from zooming when app users scrollLanguage switcher - Publish a multilingual app that combines your translated custom text and the UI translations for supported languagesHome, Zoom Controls, Legend, Layer List, SearchSupportabilityThis web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) trees data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

This 3D basemap presents OpenStreetMap (OSM) data hosted by Esri using the OpenStreetMap style. Esri created this Buildings, Places and Labels, Trees, and OpenStreetMap layers from the Daylight map distribution of OSM data, which is supported by Facebook and supplemented with additional data from Microsoft. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project and is excited to make this new scene available to the OSM, GIS, and Developer communities.

This web scene shows the Level 1, Level 3 3D building and infrastructure models on top of the local DTM of Hong Kong. The Level 1 3D Building models were derived from the building polygon of iB1000 and the Level 3 3D models were converted from Level 3 building models of 3D-BIT00 3D Spatial Data. The infrastructure models were converted from infrastructure models of 3D-BIT00 3D Spatial Data. They are subset of Digital Topographic Map and 3D Spatial Data made available by Lands Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://www.hkmapservice.gov.hk/ (“HKMS 2.0”). The source data is in Esri File Geodatabase and 3DS format and uploaded to Esri’s ArcGIS Online platform for sharing and referencing purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.

This layer shows the Level 1 3D building models of Hong Kong. The 3D models were derived from the building polygon of iB1000. It is a subset of Digital Topographic Map made available by Lands Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://www.hkmapservice.gov.hk/ (“HKMS 2.0”). The source data is in Esri File Geodatabase format and uploaded to Esri’s ArcGIS Online platform for sharing and referencing purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.

3D buildings. This dataset is a 3D building multipatch created using lidar point cloud bare earth points and building points to create a normalized data surface. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.The scene layer complies with the Indexed 3D Scene layer (I3S) format. The I3S format is an open 3D content delivery format used to disseminate 3D GIS data to mobile, web, and desktop clients.

Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) trees data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

The mobile map market is experiencing robust growth, fueled by the increasing penetration of smartphones, the proliferation of location-based services (LBS), and the rising demand for real-time navigation and mapping solutions. The market's Compound Annual Growth Rate (CAGR) of 18.41% from 2019 to 2024 indicates significant expansion, driven by factors such as advancements in augmented reality (AR) mapping, the integration of map data with ride-sharing and delivery applications, and the growing adoption of connected car technologies. This growth is further supported by continuous improvements in mapping accuracy, the development of offline map functionalities, and the increasing integration of mobile maps with other applications and services, enhancing user experience and functionality. The market segmentation by type (e.g., 2D, 3D) and application (e.g., navigation, gaming, location-based advertising) reveals diverse opportunities for market players. Leading companies are focusing on strategic partnerships, acquisitions, and technological innovations to gain a competitive edge and cater to the evolving needs of consumers. Regional variations in market growth are expected, with North America and Asia-Pacific likely to remain dominant due to high smartphone adoption rates and advanced technological infrastructure. The future of the mobile map market hinges on continued technological advancements, such as the development of highly accurate and detailed 3D maps, the integration of artificial intelligence (AI) for improved route optimization and personalized experiences, and the increasing utilization of 5G networks to enhance data speed and reliability. The market will also be shaped by evolving consumer preferences for personalized and immersive map experiences, the expansion of the Internet of Things (IoT), and the increasing importance of data privacy and security. This presents both opportunities and challenges for market players who need to adapt their strategies to stay ahead of the curve and meet the evolving expectations of users. The competitive landscape is characterized by both established players and emerging startups, resulting in increased innovation and competition within the market.

Create 2D and 3D maps to analyze flooding in Venice, Italy.

This map showcases a 2D sea level change feature layer can be transformed to 3D with the sea level increase value extruded to the average elevation of each line segment. There is expected to be a vertical difference between the base elevation of line segments and that of the 3D terrain. In order to get more accurate visualization, higher resolution data are needed. This map is for demonstration rather than scientific research purposes. Data Sources:CanCoast Sea Level Change towns 3D scenemodified from Manson, G.K., Couture, N.J., and James, T.S., 2019. CanCoast Version 2.0: data and indices to describe the sensitivity of Canada's marine coasts to changing climate; Geological Survey of Canada, Open File 8551, 1 .zip file. https://doi.org/10.4095/314669EsriOpenStreet 3D buildings: https://www.arcgis.com/home/item.html?id=ca0470dbbddb4db28bad74ed39949e25WorldElevation3D/Terrain3D https://elevation3d.arcgis.com/arcgis/rest/services/WorldElevation3D/Terrain3D/ImageServer Topographic basemapthumbnail image: https://irc.inuvialuit.com/about-irc/community/tuktoyaktuk

The size and share of the market is categorized based on Type (Urban planning, Disaster management, Environmental monitoring) and Application (Remote sensing, 3D GIS, Photogrammetry) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Global 3D GIS Platform is segmented by Application (Urban Planning, Real Estate, Technology, Engineering, Mapping), Type (GIS Mapping, 3D Visualization, Data Analysis, Geospatial Systems, Cartography) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

The Sunshine Coast Regional 3D Model was captured in 2019 through a joint project between Sunshine Coast Council and the Queensland Department of Resources.The model covers over 700 square kilometres in medium (7cm) resolution, divided into Blocks A to H.There are 18 square kilometres of high (2cm) resolution, divided into the following areas:Coolum BeachMaroochydoreBokarinaCaloundraThree high density urban streetscapes were captured at street level:Ocean Street, MaroochydoreMooloolaba Esplanade, MooloolabaBulcock Street, CaloundraA dataset showing the layer boundaries is available here: 3D Regional Model Boundaries. The entire model can be viewed in this scene: 3D Regional Model.The horizontal coordinate system is GDA2020 MGA Zone 56 (EPSG:7856) and the vertical coordinate system is the Australian Height Datum (EPSG:5711).

This web map shows the 3D Pedestrian Network in Hong Kong. It is a subset of the data made available by the Lands Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GEOJSON format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

The size and share of the market is categorized based on Type (Military operations, Strategic planning, Training simulations) and Application (GIS software, 3D visualization tools, Simulation software) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

This map showcases a 2D sea level change feature layer can be transformed to 3D with the sea level increase value extruded to the average elevation of each line segment. The original CanCoast 2099 sea level change polyline is divided into segments of ~300 meters from the longer segments. 200 meters landward buffer was created from the modified polyline feature. Sea level increase value is extruded to the 2D polygon to the lowest elevation. This map is for demonstration rather than scientific research purposes. Data Sources:coastline 200m buffer minHeightmodified from Manson, G.K., Couture, N.J., and James, T.S., 2019. CanCoast Version 2.0: data and indices to describe the sensitivity of Canada's marine coasts to changing climate; Geological Survey of Canada, Open File 8551, 1 .zip file. https://doi.org/10.4095/314669EsriOpenStreet 3D buildings: https://www.arcgis.com/home/item.html?id=ca0470dbbddb4db28bad74ed39949e25WorldElevation3D/Terrain3D https://elevation3d.arcgis.com/arcgis/rest/services/WorldElevation3D/Terrain3D/ImageServer Topographic basemapthumbnail image: https://irc.inuvialuit.com/about-irc/community/tuktoyaktuk

Wellington 3D buildings modelled from high resolution imagery captured between 29/01/2022 and 03/03/2022. Part of a series of 3D Building data sets covering Wellington City's urban area.We have GDB, DWG & SKP files available for download via S3 Bucket.Intended Purpose: To provide a three dimensional, spatially accurate representation of Wellington's buildings. Refresh Rate: This is a static dataset.Ownership: WCC and AAM Stewardship: Corporate GIS team at WCCSummary of Data Collection:High resolution imagery captured between 29th of Jan 2022 and 3rd of March 2022 with 7.5cm GSD using Vexcel camera system. Further information is available in the 2022 3D building metadata pdf.