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..

The Report Covers 3D Mapping and 3D Modelling Market Analysis & Industry Share and It is Segmented by Type (3D Mapping, 3D Modeling), Application (Projection Mapping, Texture Mapping, Maps and Navigation), End-User Vertical (Entertainment and Media, Automotive, Automotive, Healthcare, Building and Construction, Defense, Transportation), Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa). The Market Size and Forecasts are Provided in Terms of Value in USD for all the Above Segments.

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

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.

Scientists within Geoscience Australia create complex models of 3D geological structures. These models are built using specialised 3D modelling software to which very few people outside of Geoscience Australia have access. To overcome this access problem, Geoscience Australia has developed 3D VRML (Virtual Reality Modelling Language) models, to display interactive 3D data using a web browser plug-in - hence 3D web mapping. VRML is an open source standard for 3D graphics on the web. Geoscience Australia's 3D web mapping development is unique and has proved to be a very effective method for communicating large amounts of complex 3D geoscientific and geospatial information to a wide audience. Geoscience Australia has produced nearly 40 unique 3D VRML models during the last five years, some of which are available for online interaction on the Geoscience Australia website. The next challenge for Geoscience Australia's visualisers is to move from VRML to X3D - the XML successor to VRML. This paper outlines the motivations for developing 3D VRML models, explains the technologies used, and takes a brief look at possible future developments.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We converted the photointerpreted data into a GIS-usable format employing three fundamental processes: (1) orthorectify, (2) digitize, and (3) develop the geodatabase. All digital map automation was projected in Universal Transverse Mercator (UTM) projection, Zone 16, using North American Datum of 1983 (NAD83). To produce a polygon vector layer for use in ArcGIS, we converted each raster-based image mosaic of orthorectified overlays containing the photointerpreted data into a grid format using ArcGIS (Version 9.2, © 2006 Environmental Systems Research Institute, Redlands, California). In ArcGIS, we used the ArcScan extension to trace the raster data and produce ESRI shapefiles. We digitally assigned map attribute codes (both map class codes and physiognomic modifier codes) to the polygons, and checked the digital data against the photointerpreted overlays for line and attribute consistency. Ultimately, we merged the individual layers into a seamless layer of INDU and immediate environs. At this stage, the map layer has only map attribute codes assigned to each polygon. To assign meaningful information to each polygon (e.g., map class names, physiognomic definitions, link to NVC association and alliance codes), we produced a feature class table along with other supportive tables and subsequently related them together via an ArcGIS Geodatabase. This geodatabase also links the map to other feature class layers produced from this project, including vegetation sample plots, accuracy assessment sites, and project boundary extent. A geodatabase provides access to a variety of interlocking data sets, is expandable, and equips resource managers and researchers with a powerful GIS tool.

The LiDAR technology market for mapping applications is experiencing robust growth, driven by increasing demand for high-precision geospatial data across diverse sectors. The market, currently estimated at $2.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, advancements in sensor technology are leading to more compact, affordable, and higher-resolution LiDAR systems, making them accessible to a broader range of users. Secondly, the rising adoption of autonomous vehicles and the increasing need for precise 3D mapping in urban planning and infrastructure development are significant drivers. Furthermore, the integration of LiDAR with other technologies such as AI and machine learning is enhancing data processing and analysis capabilities, leading to more insightful applications. The segments showing the strongest growth are airborne LiDAR for large-scale mapping projects and terrestrial LiDAR for detailed site surveys, particularly within the architecture, mining, and agriculture sectors. However, high initial investment costs and the need for specialized expertise remain as key restraints for wider adoption. The geographical distribution of the LiDAR mapping market reflects the concentration of technological advancement and infrastructure development. North America and Europe currently dominate the market share, driven by early adoption and robust technological infrastructure. However, the Asia-Pacific region is poised for significant growth, fueled by rapid urbanization and substantial investments in infrastructure projects. Emerging economies in this region are increasingly adopting LiDAR technology for various applications, creating significant opportunities for market expansion. While the United States and major European countries remain key players, regions such as China and India are rapidly catching up, further diversifying the global LiDAR mapping landscape and contributing to the overall market expansion projected throughout the forecast period. The continued development and refinement of LiDAR technology, combined with the expanding application areas, strongly suggest that the positive growth trajectory will continue for the foreseeable future.

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 geospatial market is estimated to reach a value of USD 105.06 billion by 2033, growing at a CAGR of 9.1% during the forecast period of 2025-2033. This growth is attributed to the rising demand for geospatial data and services across various end-user industries, such as real estate and construction, automotive, utility and communication, government, defense and intelligence, and natural resources. Key drivers of the market include the increasing adoption of location-based services, the growing use of geospatial data for decision-making, and the rapid advancements in geospatial technologies. The market is segmented by type (surface analytics, network analytics, geovisualization, and others), technology (remote sensing, GPS, GIS, and others), and end-user (real estate and construction, automotive, utility and communication, government, defense and intelligence, natural resources, and others). North America is the largest regional market, followed by Europe, Asia Pacific, and the Middle East and Africa. Key companies in the geospatial market include Hexagon AB, Trimble Inc., Maxar Technologies, MDA Corporation, Fugro, Cyient, Esri, Bentley Systems, Incorporated, NV5 Global Inc., General Electric Company, Accenture, and RMSI. Recent developments include: In February 2023, U.S. Army has extended its contract with Maxar Technologies to provide 3D geospatial data used to create immersive digital environments. Maxar was awarded Phase 3b of the U.S. Army’s One World Terrain (OWT) contract originally awarded in 2019 to Vricon, a company Maxar acquired in 2020. Vricon uses data from Maxar’s imaging satellites to make 3D mapping products. In September 2023, Trimble and Kyivstar Partner to Provide GNSS Correction Services for Agriculture, Construction and Geospatial Applications in Ukraine. It will install a new Continuously Operating Reference Station (CORS) network to provide Global Navigation Satellite System (GNSS) correction services across the country. Available to users as an annual subscription service, the new network will be built using Trimble's hardware and software positioning technology, which provides customers with easy and reliable high-accuracy real time or post-processed GNSS corrections data for agriculture, construction, geospatial, Internet of Things (IoT) and other commercial operations. . Key drivers for this market are: Growing demand for accurate and actionable geospatial data

Advancements in cloud computing and AI technologies

Increasing adoption of location-based services and IoT devices

Need for sustainable resource management and environmental monitoring

Government initiatives and investments in geospatial infrastructure. Potential restraints include: Data privacy and security concerns

Lack of skilled workforce and technical expertise

High cost of implementing and maintaining geospatial solutions

Interoperability issues between different geospatial platforms

Limited awareness of the benefits of geospatial technologies. Notable trends are: The integration of AI and IOT fuels Integration of blockchain technology for data security and transparency

Development of open-source geospatial platforms and applications

Use of AI and machine learning for predictive analytics and automation

Focus on interconnected and interoperable geospatial ecosystems

Growing adoption of geospatial solutions in emerging marketsmarket expansion is expected to drive market growth..

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Photogrammetry Software Market Size 2024-2028

The photogrammetry software market size is forecast to increase by USD 1.16 billion at a CAGR of 14.3% between 2023 and 2028.

The market is experiencing significant growth due to the increasing adoption of 3D mapping and modeling in various industries, particularly in building and construction. This technology enables the creation of geo-referenced maps and orthomosaic images from drone images, which are essential for 3D visualizations and 3D reconstruction. Additionally, the use of 3D scanning and computer visualization in applications such as 3D modeling and 3D printing of models for drones and quadcopters is driving market growth. However, challenges persist, including the inadequate infrastructure in developing and underdeveloped countries, which hampers the market's expansion. Key software solutions in this market include VisualSFM and OpenMVG, which offer advanced features for processing Images and Video to generate 3D models.

What will be the Size of the Market During the Forecast Period?

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Photogrammetry software has emerged as a critical tool in various industries, particularly in defense and security, engineering, architecture, and surveyor sectors. This software utilizes advanced imaging technologies, such as high-resolution cameras, Lidar, and drones, to capture data in the form of a series of photographs. These images are then processed using artificial intelligence (AI) and machine learning algorithms to generate 3D models in real time. Data collection technologies have significantly evolved in recent years, with the integration of AI and machine learning enabling faster and more accurate processing of large datasets.

Moreover, the AI-driven photogrammetry software uses pixels and reference points from the images to create 3D meshes, which are essential for various applications, including emergency management and object recognition in space. The market is segmented into cloud-based Software as a Service (SaaS) and on-premises commercial/proprietary software. The SaaS model offers benefits such as cost savings, flexibility, and scalability, while on-premises software provides greater control and security. The use of AI-driven photogrammetry software is not limited to specific industries. It is widely adopted by surveyors, architects, engineers, and contractors to streamline their workflows and improve accuracy. For instance, Autodesk REMake, an AI-driven photogrammetry software, enables users to create 3D models from images, which can be used for various applications, including architectural design and construction planning.

Similarly, the geospatial technology plays a crucial role in the effective implementation of photogrammetry software. Real-time data processing and analysis are essential for various applications, including emergency management and infrastructure monitoring. The integration of AI and machine learning algorithms in photogrammetry software enables faster and more accurate processing of geospatial data, making it an indispensable tool for various industries. In conclusion, the advancement of imaging technologies, AI, and machine learning algorithms has significantly impacted the market. The software's ability to generate 3D models from a series of photographs in real-time makes it an essential tool for various industries, including defense and security, engineering, architecture, and surveyor sectors. The integration of geospatial technology further enhances the software's capabilities, making it an indispensable tool for data-driven decision-making.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  3D printing
  Drones and robots
  Films and games
  Others


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Application Insights

The 3D printing segment is estimated to witness significant growth during the forecast period. In the realm of advanced imaging technologies, the market is witnessing significant growth. This expansion is driven by various sectors, including Defense and Security, where high-precision 3D models are essential for mission planning and analysis. Artificial Intelligence (AI) and Machine Learning (ML) are also playing a pivotal role in the market's growth, enabling real-time data processing and analysis. Data collection technologies, such as LiDAR and high-resolution cameras, integrated with drones, are revolutionizing the way data is captured and processed. Geospatial technology, a critical component of photogrammetry, is enabling the creation

Why use Excel 3D Maps? What are the limitations? This presentations shows how to use Excel to create dynamic 3D maps.

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.

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 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.

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.

According to Cognitive Market Research, the global 3D Mapping and Modeling market size is USD 5218.3 million in 2024 and will expand at a compound yearly growth rate (CAGR) of 16.3% from 2024 to 2031. Market Dynamics of 3D Mapping and Modeling Market

Key Drivers for 3D Mapping and Modeling Market

Enhanced Customer Experience to Increase Demand Globally—Enhanced customer experience drives the 3D mapping and modeling market by offering immersive and interactive experiences. In sectors like tourism, customers can explore destinations virtually before visiting, increasing engagement and satisfaction. In retail, 3D modeling enables personalized product visualization, aiding in purchasing decisions. Additionally, in architecture and real estate, clients can virtually tour properties, facilitating better-informed choices. Scalability and Flexibility- Flexibility and scalability of 3D mapping and modeling solutions enable them to adapt to various industries and applications, driving market growth by catering to diverse needs and evolving technological requirements.

Key Restraints for 3D Mapping and Modeling Market

Cost of Technology- The high cost of 3D mapping and modeling technologies often acts as a barrier to entry for smaller businesses and limits widespread adoption across industries. Complexity and Skill Need- The complexity and high skill requirements involved in 3D mapping and modeling processes can limit market growth by creating barriers to entry for smaller businesses and increasing costs for training and implementation. Introduction of the 3D Mapping and Modeling Market

The 3D mapping and modeling market encompasses technologies that enable the creation of three-dimensional representations of physical objects, environments, or surfaces. Utilizing techniques such as laser scanning, photogrammetry, LiDAR, and structured light, this market caters to a wide range of industries, including construction, architecture, urban planning, entertainment, and geospatial mapping. These technologies capture detailed spatial data, which is then processed to generate accurate and realistic 3D models. Applications range from creating digital twins of buildings and infrastructure for architectural design and urban planning to virtual tourism experiences and immersive gaming environments. The demand for 3D mapping and modeling solutions is driven by the need for accurate spatial data analysis, visualization, and simulation across diverse sectors, promising enhanced efficiency, cost-effectiveness, and innovative experiences.

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.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. ArcGIS software was used as the GIS platform for the onscreen digital mapping. Because the 3D images were viewed directly in the GIS environment, vegetation could be mapped directly into ArcGIS. The polygon vector data were stored using an ArcGIS file geodatabase, which was projected in in Universal Transverse Mercator (UTM), Zone 15, by using the North American Datum of 1983 (NAD 83). The NPS VIP standard MMU of 0.5 ha was applied to mapping forest and cultural types. For shrub, herbaceous, and sparsely vegetated types, as well as non-vegetation features, a MMU of 0.25 ha was applied. This smaller MMU was applied because these vegetation types were comparatively rare across the park, the degree of vegetation diversity over small areas was higher, and the isolated patches across MISS were more prevalent. For woodlands, a MMU of 0.5 ha was applied to deciduous woodlands and a MMU of 0.25 ha was applied to conifer woodlands due to the individual circumstances surrounding these woodlands. Also, when vegetation types were found unique to their immediate surroundings (e.g., an herbaceous wetland within an upland forest), mapping below the MMU was allowed. All geospatial products for the MISS vegetation mapping project have been projected in UTM, Zone 15, by using the NAD 83.

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

This Scene consists of the detailed 2014 USGS CMGP Post Sandy LiDAR Survey of New York City. along with over 1 million 3D Buildings for the city of New York available as part of the New York Cities OpenData initiative. A thematically symbolized 3D tree inventory for Roosevelt Island shows the value of LiDAR in validating tree survey heights. The LiDAR Dataset consists of data acquired and processed to assist in the evaluation of storm damage and erosion of the local environment as part of USGS Hurricane Sandy response along the Atlantic Seaboard.