This application is intended for informational purposes only and is not an operational product. The tool provides the capability to access, view and interact with satellite imagery, and shows the latest view of Earth as it appears from space.For additional imagery from NOAA's GOES East and GOES West satellites, please visit our Imagery and Data page or our cooperative institute partners at CIRA and CIMSS.This website should not be used to support operational observation, forecasting, emergency, or disaster mitigation operations, either public or private. In addition, we do not provide weather forecasts on this site — that is the mission of the National Weather Service. Please contact them for any forecast questions or issues. Using the Maps​What does the Layering Options icon mean?The Layering Options widget provides a list of operational layers and their symbols, and allows you to turn individual layers on and off. The order in which layers appear in this widget corresponds to the layer order in the map. The top layer ‘checked’ will indicate what you are viewing in the map, and you may be unable to view the layers below.Layers with expansion arrows indicate that they contain sublayers or subtypes.Do these maps work on mobile devices and different browsers?Yes!Why are there black stripes / missing data on the map?NOAA Satellite Maps is for informational purposes only and is not an operational product; there are times when data is not available.Why are the North and South Poles dark?The raw satellite data used in these web map apps goes through several processing steps after it has been acquired from space. These steps translate the raw data into geospatial data and imagery projected onto a map. NOAA Satellite Maps uses the Mercator projection to portray the Earth's 3D surface in two dimensions. This Mercator projection does not include data at 80 degrees north and south latitude due to distortion, which is why the poles appear black in these maps. NOAA's polar satellites are a critical resource in acquiring operational data at the poles of the Earth and some of this imagery is available on our website (for example, here ).Why does the imagery load slowly?This map viewer does not load pre-generated web-ready graphics and animations like many satellite imagery apps you may be used to seeing. Instead, it downloads geospatial data from our data servers through a Map Service, and the app in your browser renders the imagery in real-time. Each pixel needs to be rendered and geolocated on the web map for it to load.How can I get the raw data and download the GIS World File for the images I choose?NOAA Satellite Maps offers an interoperable map service to the public. Use the camera tool to select the area of the map you would like to capture and click ‘download GIS WorldFile.’The geospatial data Map Service for the NOAA Satellite Maps GOES satellite imagery is located on our Satellite Maps ArcGIS REST Web Service ( available here ).We support open information sharing and integration through this RESTful Service, which can be used by a multitude of GIS software packages and web map applications (both open and licensed).Data is for display purposes only, and should not be used operationally.Are there any restrictions on using this imagery?NOAA supports an open data policy and we encourage publication of imagery from NOAA Satellite Maps; when doing so, please cite it as "NOAA" and also consider including a permalink (such as this one) to allow others to explore the imagery.For acknowledgment in scientific journals, please use:We acknowledge the use of imagery from the NOAA Satellite Maps application: LINKThis imagery is not copyrighted. You may use this material for educational or informational purposes, including photo collections, textbooks, public exhibits, computer graphical simulations and internet web pages. This general permission extends to personal web pages. About this satellite imageryWhat am I looking at in these maps?What am I seeing in the NOAA Satellite Maps 3D Scene?There are four options to choose from, each depicting a different view of the Earth using the latest satellite imagery available. The first three views show the Western Hemisphere and the Pacific Ocean, as captured by the NOAA GOES East (GOES-16) and GOES West (GOES-17) satellites. These images are updated approximately every 15 minutes as we receive data from the satellites in space. The three views show GeoColor, infrared and water vapor. See our other FAQs to learn more about what the imagery layering options depict.The fourth option is a global view, captured by NOAA’s polar-orbiting satellites (NOAA/NASA Suomi NPP and NOAA-20). The polar satellites circle the globe 14 times a day, taking in one complete view of the Earth in daylight every 24 hours. This composite view is what is projected onto the 3D map scene each morning, so you are seeing how the Earth looked from space one day ago.What am I seeing in the Latest 24 Hrs. GOES Constellation Map?In this map you are seeing the past 24 hours (updated approximately every 15 minutes) of the Western Hemisphere and Pacific Ocean, as seen by the NOAA GOES East (GOES-16) and GOES West (GOES-17) satellites. In this map you can also view three different ‘layers’. The three views show ‘GeoColor’ ‘infrared’ and ‘water vapor’.(Please note: GOES West imagery is currently only available in GeoColor. The infrared and water vapor imagery will be available in Spring 2019.)This maps shows the coverage area of the GOES East and GOES West satellites. GOES East, which orbits the Earth from 75.2 degrees west longitude, provides a continuous view of the Western Hemisphere, from the West Coast of Africa to North and South America. GOES West, which orbits the Earth at 137.2 degrees west longitude, sees western North and South America and the central and eastern Pacific Ocean all the way to New Zealand.What am I seeing in the Global Archive Map?In this map, you will see the whole Earth as captured each day by our polar satellites, based on our multi-year archive of data. This data is provided by NOAA’s polar orbiting satellites (NOAA/NASA Suomi NPP from January 2014 to April 19, 2018 and NOAA-20 from April 20, 2018 to today). The polar satellites circle the globe 14 times a day taking in one complete view of the Earth every 24 hours. This complete view is what is projected onto the flat map scene each morning.What does the GOES GeoColor imagery show?The 'Merged GeoColor’ map shows the coverage area of the GOES East and GOES West satellites and includes the entire Western Hemisphere and most of the Pacific Ocean. This imagery uses a combination of visible and infrared channels and is updated approximately every 15 minutes in real time. GeoColor imagery approximates how the human eye would see Earth from space during daylight hours, and is created by combining several of the spectral channels from the Advanced Baseline Imager (ABI) – the primary instrument on the GOES satellites. The wavelengths of reflected sunlight from the red and blue portions of the spectrum are merged with a simulated green wavelength component, creating RGB (red-green-blue) imagery. At night, infrared imagery shows high clouds as white and low clouds and fog as light blue. The static city lights background basemap is derived from a single composite image from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day Night Band. For example, temporary power outages will not be visible. Learn more.What does the GOES infrared map show?The 'GOES infrared' map displays heat radiating off of clouds and the surface of the Earth and is updated every 15 minutes in near real time. Higher clouds colorized in orange often correspond to more active weather systems. This infrared band is one of 12 channels on the Advanced Baseline Imager, the primary instrument on both the GOES East and West satellites. on the GOES the multiple GOES East ABI sensor’s infrared bands, and is updated every 15 minutes in real time. Infrared satellite imagery can be "colorized" or "color-enhanced" to bring out details in cloud patterns. These color enhancements are useful to meteorologists because they signify “brightness temperatures,” which are approximately the temperature of the radiating body, whether it be a cloud or the Earth’s surface. In this imagery, yellow and orange areas signify taller/colder clouds, which often correlate with more active weather systems. Blue areas are usually “clear sky,” while pale white areas typically indicate low-level clouds. During a hurricane, cloud top temperatures will be higher (and colder), and therefore appear dark red. This imagery is derived from band #13 on the GOES East and GOES West Advanced Baseline Imager.How does infrared satellite imagery work?The infrared (IR) band detects radiation that is emitted by the Earth’s surface, atmosphere and clouds, in the “infrared window” portion of the spectrum. The radiation has a wavelength near 10.3 micrometers, and the term “window” means that it passes through the atmosphere with relatively little absorption by gases such as water vapor. It is useful for estimating the emitting temperature of the Earth’s surface and cloud tops. A major advantage of the IR band is that it can sense energy at night, so this imagery is available 24 hours a day.What do the colors on the infrared map represent?In this imagery, yellow and orange areas signify taller/colder clouds, which often correlate with more active weather systems. Blue areas are clear sky, while pale white areas indicate low-level clouds, or potentially frozen surfaces. Learn more about this weather imagery.What does the GOES water vapor map layer show?The GOES ‘water vapor’ map displays the concentration and location of clouds and water vapor in the atmosphere and shows data from both the GOES East and GOES West satellites. Imagery is updated approximately every 15 minutes in

The Southeast Texas Urban Integrated field lab’s Co-design team captured aerial photos in the Port Arthur Coastal Neighborhood Community and the Golf Course on Pleasure Island, Texas, in June 2024. Aerial photos taken were through autonomous flight, and models were processed through the DroneDeploy engine. All aerial photos are in .JPG format and contained in zipped files for each area. The processed data package includes 3D models, geospatial data, mappings, and point clouds. Please be aware that DTM, Elevation toolbox, Point Cloud, and Orthomosaic use EPSG: 6588. And 3D Model uses EPSG: 3857. For using these data: - The Adobe Suite gives you great software to open .Tif files. - You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains. - Open an .OBJ file with a large number of free and commercial applications. Some examples include Microsoft 3D Builder, Apple Preview, Blender, and Autodesk. - You may use ArcGIS, Merkaartor, Blender (with the Google Earth Importer plug-in), Global Mapper, and Marble to open .KML files. - The .tfw world file is a text file used to georeference the GeoTIFF raster images, like the orthomosaic and the DSM. You need suitable software like ArcView to open a .TFW file. This dataset provides researchers with sufficient geometric data and the status quo of the land surface at the locations mentioned above. This dataset will support researchers' decision-making processes under uncertainties.

This map was last updated March 2014. World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes NASA Blue Marble: Next Generation 500m resolution imagery at small scales (above 1:1,000,000), i-cubed 15m eSAT imagery at medium-to-large scales (down to 1:70,000) for the world, and USGS 15m Landsat imagery for Antarctica. The map features 0.3m resolution imagery in the continental United States and parts of Western Europe from DigitalGlobe. Additional DigitalGlobe sub-meter imagery is featured in many parts of the world, with concentrations in South America, Eastern Europe, India, Japan, the Middle East and Northern Africa, Southern Africa, Australia, and New Zealand. In other parts of the world, 1 meter resolution imagery is available from GeoEye IKONOS, Getmapping, AeroGRID, IGN Spain, and IGP Portugal. Additionally, imagery at different resolutions has been contributed by the GIS User Community. To view this map service now, along with useful reference overlays, click here to open the Imagery with Labels web map.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Imagery or Imagery with Labels from the Basemap control to start browsing the imagery. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.The coverage for Europe includes AeroGRID 1m resolution imagery for Belgium, France (Region Nord-Pas-de-Calais only), Germany, Luxembourg, and The Netherlands and 2m resolution imagery for the Czech Republic, plus 1m resolution imagery for Portugal from the Instituto Geográfico Português.For details on the coverage in this map service, view the list of Contributors for the World Imagery Map.View the coverage map below to learn more about the coverage for the high-resolution imagery:Updated imagery coverage map: Areas updated in the most recent release. World coverage map: Areas with high-resolution imagery throughout the world.Metadata: This service is metadata-enabled. With the Identify tool in ArcMap or the ArcGIS Online Content Viewer, you can see the resolution, collection date, and source of the imagery at the location you click. The metadata applies only to the best available imagery at that location. You may need to zoom in to view the best available imagery.Reference overlays: The World Boundaries and Places service is designed to be drawn on top of this service as a reference overlay. This is what gets drawn on top of the imagery if you choose the Imagery With Labels basemap in any of the ArcGIS clients.The World Transportation service is designed to be drawn on top of this service to provide street labels when you are zoomed in and streets and roads when you are zoomed out.There are three ready to use web maps that use the World Imagery service as their basemap, Imagery, in which both reference layers are turned off, Imagery with Labels, which has World Boundaries and Places turned on but World Transportation turned off, and Imagery with Labels and Transportation, which has both reference layers turned on.Feedback: Have you ever seen a problem in the Esri World Imagery Map that you wanted to see fixed? You can use the Imagery Map Feedback web map to provide feedback on issues or errors that you see. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.ArcGIS Desktop use: This service requires ArcGIS 9.3 or more recent.The World Imagery map service is not available as a globe service. If you need a globe service containing imagery use the Prime Imagery (3D) globe service. However note that this is no longer being updated by Esri.Tip: Here are some famous locations as they appear in this map service. The following URLs launch the Imagery With Labels and Transportation web map (which combines this map service with the two reference layers designed for it) and take you to specific locations on the map using location parameters included in the URL.Grand Canyon, Arizona, USAGolden Gate, California, USATaj Mahal, Agra, IndiaVatican CityBronze age white horse, Uffington, UKUluru (Ayres Rock), AustraliaMachu Picchu, Cusco, PeruOkavango Delta, BotswanaScale Range: 1:591,657,528 down to 1:1,128Coordinate System: Web Mercator Auxiliary Sphere (WKID 102100)Tiling Scheme: Web Mercator Auxiliary SphereMap Service Name: World_ImageryArcGIS Desktop/Explorer URL: http://services.arcgisonline.com/arcgis/services ArcGIS Desktop files: MXD LYR (These ready-to-use files contain this service and associated reference overlay services. ArcGIS 9.3 or more recent required).ArcGIS Server Manager and Web ADF URL: http://server.arcgisonline.com/arcgis/services/World_Imagery/MapServerREST URL for ArcGIS Web APIs: http://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServerSOAP API URL: http://services.arcgisonline.com/ArcGIS/services/World_Imagery/MapServer?wsdl

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..

Our Co-design team is from the University of Texas, working on a Department of Energy-funded project focused on the Beaumont-Port Arthur area. As part of this project, we will be developing climate-resilient design solutions for areas of the region. More on www.caee.utexas.edu. We captured aerial photos in the Port Arthur Coastal Neighborhood Community and the Golf Course on Pleasure Island, Texas, in June 2024. Aerial photos taken were through DroneDeploy autonomous flight, and models were processed through the DroneDeploy engine as well. All aerial photos are in .JPG format and contained in zipped files for each area. The processed data package includes 3D models, geospatial data, mappings, and point clouds. Please be aware that DTM, Elevation toolbox, Point cloud, and Orthomosaic use EPSG: 6588. And 3D Model uses EPSG: 3857. For using these data: - The Adobe Suite gives you great software to open .Tif files. - You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains. - Open an .OBJ file with a large number of free and commercial applications. Some examples include Microsoft 3D Builder, Apple Preview, Blender, and Autodesk. - You may use ArcGIS, Merkaartor, Blender (with the Google Earth Importer plug-in), Global Mapper, and Marble to open .KML files. - The .tfw world file is a text file used to georeference the GeoTIFF raster images, like the orthomosaic and the DSM. You need suitable software like ArcView to open a .TFW file. This dataset provides researchers with sufficient geometric data and the status quo of the land surface at the locations mentioned above. This dataset could streamline researchers' decision-making processes and enhance the design as well.

This shapefile represents the stream cross sections generated within the Orange County High Density LiDAR analysis boundary. These lines were generated using QSI hydrology tools, and were spaced every 250 feet along each stream reach and extended 15% of the stream width beyond each bank. Each cross section was also split into stations every 0.5 feet, and assigned both landcover and elevation attribution. The horizontal datum for this dataset is NAD83 with OCS 2007.00 Adjustment, the vertical datum is NAVD88 with OCS 1995.00 Adjustment, and the data is projected in California State Plane VI. Units are in US Survey Feet. Quantum Spatial collected the Orange County High Density LiDAR data for Orange County Public Works between 07/23/16 and 07/26/16. Aerial Imagery utilized was provided by Orange County Public Works, and was acquired by Eagle Aerial Solutions between June and July of 2015.

The remote sensing software market is experiencing robust growth, driven by increasing demand for geospatial data across various sectors. The market's expansion is fueled by advancements in sensor technology, satellite imagery availability, and the rising adoption of cloud-based solutions for data processing and analysis. Factors like the need for precise land management, environmental monitoring, urban planning, and defense applications are significant contributors to this growth. While precise figures for market size and CAGR are unavailable in the provided information, based on industry reports and trends, a reasonable estimation would place the 2025 market size at approximately $5 billion, experiencing a compound annual growth rate (CAGR) of around 8% during the forecast period (2025-2033). This growth trajectory is expected to continue, driven by the increasing integration of AI and machine learning algorithms within remote sensing software for improved data analysis and automation. The competitive landscape is marked by a mix of established players like PCI Geomatics, Hexagon, and Esri, and emerging technology providers. These companies are constantly innovating to offer advanced functionalities such as 3D modeling, image processing, and data visualization capabilities. However, high initial investment costs for software licenses and specialized hardware can present a barrier to entry for some organizations. Further, data security concerns and the need for specialized expertise in data interpretation can pose some challenges to market growth. Despite these constraints, the long-term prospects of the remote sensing software market remain highly positive, fueled by government initiatives promoting geospatial data accessibility and the ongoing development of more sophisticated and user-friendly software solutions. The increasing availability of affordable high-resolution imagery and the integration of remote sensing data with other data sources promise to further boost market expansion in the coming years.

Our Co-design team is from the University of Texas, working on a Department of Energy-funded project focused on the Beaumont-Port Arthur area. As part of this project, we will be developing climate-resilient design solutions for areas of the region. More on www.caee.utexas.edu. We used a DJI Mavic 2 Pro to capture aerial photos in Beaumont-Port Arthur, TX, in February 2023, including: I. Beaumont Soccer Club II. Corps’ Port Arthur Resident Office III. Halbouty Pump Station comprises its vicinity IV. Lamar University (Including Exxon Power Plants close to Lamar Univ.) V. MLK Boulevard for aerial images of the industry and the ship channel VI. Salt Water Barrier (include some aerial images about the Big Thicket) Aerial photos taken were through DroneDeploy autonomous flight, and models were processed through the DroneDeploy engine as well. All aerial photos are in .JPG format and contained in zipped files for each location. The processed data package including 3D models, geospatial data, mappings, point clouds, and the animation video of Halbouty Pump Station has various file types: - The Adobe Suite gives you great software to open .Tif files. - You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains. - Open an .OBJ file with a large number of free and commercial applications. Some examples include Microsoft 3D Builder, Apple Preview, Blender, and Autodesk. - You may use ArcGIS, Merkaartor, Blender (with the Google Earth Importer plug-in), Global Mapper, and Marble to open .KML files. - The .tfw world file is a text file used to georeference the GeoTIFF raster images, like the orthomosaic and the DSM. You need suitable software like ArcView to open a .TFW file. This dataset provides researchers with sufficient geometric data and the status quo of the land surface at the locations mentioned above. This dataset could streamline researchers' decision-making processes and enhance the design as well. In October 2023, we had our follow-up data collection, including: I. Beaumont Soccer Club II. Shipping and Receiving Center at Lamar University After the aerial collection, we obtained aerial photos of those two locations mentioned above, as well as processed data (such as point clouds and models).

A 3D multi-patch feature service of building footprints in San Bernardino County's Primary Urban Area as of 2021. Data was created as an ancillary product of aerial imagery.

Pocatello, Idaho historical orthomosaic for 1959 was created by collecting, scanning, merging and georectifying historic photography of Pocatello. The total spatial error is less than 1 meter. These historical orthomosaic images were derived using SfM (Structure-from-motion photogrammetry). SfM uses a series of overlapping images aligned to form a 3D representation. Classification resulted in raster and vector data with discrete classes grouped into objects located in the urban corridor of Pocatello. High-resolution aerial photography of the Pocatello area was provided by Valley Air Photos and the Idaho State Historical Society for 1959. All images were transferred from a traditional 9x9 photograph and scanned at a 1210 dpi resolution. (Date: 11/02/1959, Scale: 1: 12,000, Total GSD [GSD = photo scale x scanning resolution]: 44, Scanned resolution: 11432x11241 1210 dpi). The general workflow for processing was as follows: Image collection, image pre-processing combined with gps positioning and differential correction. Photo alignment, point cloud generation, point cloud meshing, orthomosaic and DSM (Digital Surface Models) output. Photos were aligned using Agisoft Photoscan. Focal lengths for data sets were 152mm. GPS points were collected for ground truthing. Photo alignment, dense cloud, and mesh generation using ground control points, resulted in orthomosaics and DSMs (Digital Surface Models) for time periods. Orthomosaics were produced at a fine scale spatial resolution: .25m resolution in all cases except the final year at .5m due to differences in scale of the original imagery. Each orthomosaic and DEM was outputted at .5 m and 1 m resolution respectively, in order to maintain continuity between data sets. See Brock Lipple Thesis, 2015 for more information about the scanning and merging process.Data are sourced from: https://data.nkn.uidaho.edu/dataset/pocatello-idaho-historic-orthoimagery-1959-1-meter-resolutionPlease cite as: Delparte, D., & Lipple, B. (2016). Pocatello, Idaho Historic Orthoimagery for 1959 (1 meter resolution) [Data set]. University of Idaho. https://doi.org/10.7923/G4X63JT0Individual image tiles can be downloaded using the Idaho Aerial Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.

The Argentina Satellite Imagery Services market, valued at $40 million in 2025, is projected to experience robust growth, driven by increasing government investments in infrastructure development, particularly within the geospatial data acquisition and mapping sectors. The rising demand for precise location intelligence across various applications, including natural resource management, surveillance and security, and disaster management, further fuels market expansion. Key applications like precision agriculture and urban planning are also contributing to market growth, as businesses and government agencies leverage satellite imagery for improved decision-making and resource optimization. The presence of established players like ESRI and Airbus, alongside emerging local firms, indicates a competitive yet dynamic market landscape. However, challenges remain, primarily concerning data accessibility, affordability for smaller businesses, and potential regulatory hurdles related to data privacy and security. The construction, transportation, and logistics sectors are expected to witness significant growth in satellite imagery adoption due to the need for efficient infrastructure planning and risk mitigation. Furthermore, the expanding military and defense applications are expected to contribute to market expansion throughout the forecast period. While specific data for Argentina's market segmentation is unavailable, the overall market trajectory mirrors global trends, projecting a Compound Annual Growth Rate (CAGR) of 6.66% from 2025 to 2033. This growth is expected to be further fueled by technological advancements in satellite imagery resolution and analytics. The consistent 6.66% CAGR signifies a steady increase in demand for advanced geospatial solutions. Government initiatives promoting digitalization and smart city development are key catalysts, driving adoption across various sectors. While the market faces challenges, such as high initial investment costs for technology and infrastructure, the long-term benefits of improved decision-making and operational efficiencies outweigh these barriers. The market is expected to mature gradually, with a shift towards cloud-based solutions and advanced analytics becoming increasingly prevalent. The presence of both international and domestic players ensures a competitive market fostering innovation and affordability. This combination of factors positions Argentina's satellite imagery services market for sustained growth in the coming years. Recent developments include: July 2023: Maxar Technologies, a leading provider of comprehensive space services and secure, precise geospatial intelligence, announced the initial launch of its innovative Maxar Geospatial Platform (MGP). This groundbreaking platform offers rapid and user-friendly access to the world's most advanced Earth intelligence. MGP is set to revolutionize geospatial data and analytics by simplifying discovery, procurement, and integration processes. Users of MGP will enjoy seamless access to Maxar's renowned geospatial content, which includes high-resolution satellite imagery, breathtaking imagery base maps, intricate 3D models, analysis-ready datasets, as well as image-based change detection and analytical outputs., March 2023: The Argentinean remote sensing constellation SAOCOM has contributed invaluable data, and the European Space Agency (ESA) engaged Earth observation experts to explore and propose innovative applications for this dataset. The Argentine space agency CONAE, responsible for overseeing and controlling the SAOCOM satellites, is actively working on requests for data delivery proposals. The SAOCOM mission, an integral part of ESA's Third Party Missions program, features two spacecraft, SAOCOM 1A and 1B, designed to collect polarimetric L-band synthetic aperture radar data., , . Key drivers for this market are: Increasing Adoption of Location-based Services, Satellite data usage is increasing. Potential restraints include: Increasing Adoption of Location-based Services, Satellite data usage is increasing. Notable trends are: Natural Resource Management is Expected to Significant Share.

This New Zealand car detection Deep Learning Package will detect cars from high resolution imagery. This model is re-trained from the Esri Car Detection - USA Deep Learning Package and is trained to work better within the New Zealand geography.The model precision had also improved from 0.81 to 0.89. The package is trained to be more aggressive in terms of car detecting and is able to detect most cars that are fully covered in shade or partially blocked by tree canopy. This deep learning model is used to detect cars in high resolution drone or aerial imagery. Car detection can be used for applications such as traffic management and analysis, parking lot utilization, urban planning, etc. It can also be used as a proxy for deriving economic indicators and estimating retail sales. High resolution aerial and drone imagery can be used for car detection due to its high spatio-temporal coverage.Licensing requirementsArcGIS Desktop – ArcGIS Image Analyst and ArcGIS 3D Analyst extensions for ArcGIS ProArcGIS Online – ArcGIS Image for ArcGIS OnlineUsing the modelFollow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.Note: Deep learning is computationally intensive, and a powerful GPU is recommended to process large datasets.InputHigh resolution RGB imagery (7.5 centimetre spatial resolution)OutputFeature class containing detected carsApplicable geographiesThe model is expected to work well with the New Zealand localised data.Model architectureThis model uses the MaskRCNN model architecture implemented in ArcGIS Pro Arcpy.Accuracy metricsThis model has an average precision score of 0.89.Sample resultsHere are a few results from the model.(Post processing are recommended to filter out False Positive Object.e.g (confidence >= x | 0.95) |& ((shape_area/shape_length) >= x | 0.5) |& (class == Car) |& Regularize(feature)3% of detected object will need to be filtered out averagely .To learn how to use this model, see this story

Pocatello, Idaho historical orthomosaic for 1975 was created by collecting, scanning, merging and georectifying historic photography of Pocatello. The total spatial error is less than 1 meter. These historical orthomosaic images were derived using SfM (Structure-from-motion photogrammetry). SfM uses a series of overlapping images aligned to form a 3D representation. Classification resulted in raster and vector data with discrete classes grouped into objects located in the urban corridor of Pocatello. High-resolution aerial photography of the Pocatello area was provided by Valley Air Photos and the Idaho State Historical Society for 1975. All images were transferred from a traditional 9x9 photograph and scanned at a 1210 dpi resolution. (Date: 09/19/1975, Scale: 1:12,000, Total GSD [GSD = photo scale x scanning resolution]: 209, Scanned resolution: 11240x11240 1210 dpi). The general workflow for processing was as follows: Image collection, image pre-processing combined with gps positioning and differential correction. Photo alignment, point cloud generation, point cloud meshing, orthomosaic and DSM (Digital Surface Models) output. Photos were aligned using Agisoft Photoscan. Focal lengths for data sets were 152mm. GPS points were collected for ground truthing. Photo alignment, dense cloud, and mesh generation using ground control points, resulted in orthomosaics and DSMs (Digital Surface Models) for time periods. Orthomosaics were produced at a fine scale spatial resolution: .25m resolution in all cases except the final year at .5m due to differences in scale of the original imagery. Each orthomosaic and DEM was outputted at .5 m and 1 m resolution respectively, in order to maintain continuity between data sets. See Brock Lipple Thesis, 2015 for more information about the scanning and merging process.Data are sourced from: https://data.nkn.uidaho.edu/dataset/pocatello-idaho-historic-orthoimagery-1975-1-meter-resolutionPlease cite as: Delparte, D., & Lipple, B. (2016). Pocatello, Idaho Historic Orthoimagery for 1975 (~1 meter resolution) [Data set]. University of Idaho. https://doi.org/10.7923/G4D798BCIndividual image tiles can be downloaded using the Idaho Aerial Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.

The ANZ Geospatial Analytics market, valued at $0.68 million in 2025, is projected to experience robust growth, driven by increasing adoption across diverse sectors. A Compound Annual Growth Rate (CAGR) of 9.13% from 2025 to 2033 indicates a significant expansion potential. Key drivers include the rising demand for precise location intelligence in agriculture (precision farming), utility management (network optimization), and infrastructure development (real estate and construction). Furthermore, advancements in data analytics techniques, particularly AI and machine learning, are enhancing the capabilities of geospatial analytics, leading to more insightful data analysis and improved decision-making. The market segmentation reveals strong demand across various verticals, with agriculture, utilities, and defense & intelligence leading the way. While data limitations prevent precise regional breakdowns for ANZ, the global trend suggests a significant market presence in Australia and New Zealand, supported by robust government initiatives and private sector investments in digital infrastructure. The presence of established players like CoreLogic NZ Limited and Esri Australia, alongside emerging innovative companies, contributes to the market’s dynamism and future potential. The forecast period (2025-2033) presents substantial opportunities for market expansion, particularly as businesses increasingly recognize the strategic value of location-based insights. Government initiatives promoting the use of geospatial data for better resource management, infrastructure planning, and disaster response are further catalyzing market growth. Challenges include data security concerns, integration complexities across different platforms, and the need for skilled professionals to handle and interpret geospatial data. However, the overall market outlook remains positive, fueled by ongoing technological advancements and a growing awareness of the benefits derived from geospatial analytics in driving operational efficiency and informed decision-making across diverse industry sectors within Australia and New Zealand. This report provides a detailed analysis of the Australia and New Zealand (ANZ) geospatial analytics market, offering invaluable insights for businesses operating or planning to enter this dynamic sector. With a study period spanning 2019-2033, a base year of 2025, and a forecast period of 2025-2033, this report offers a comprehensive overview of market size, trends, and future projections, valued in millions. The report leverages historical data (2019-2024) to paint a robust picture of market evolution. Recent developments include: January 2023: Ecopia AI (Ecopia) and Woolpert announced an expanded collaboration to map Australia's top metropolitan areas in 3D. The resulting vector maps will offer Woolpert's Asia-Pacific clients an accurate, detailed, and up-to-date foundational layer of geospatial data representing the dimensional world. As one of the leading geospatial services providers, Woolpert works with commercial and government organizations alike to map and analyze locations for strategic decision-making., September 2022: Wellington-based Geospatial data, technology, and analytics company Lynker Analytics announced that it had been selected by Toitū Te Whenua Land Information New Zealand in order to capture the building outlines from publicly owned aerial imagery over the next three years. Toitū Te Whenua Land Information New Zealand maintains a national open dataset of the building outlines extracted from multiple years of imagery captured through airborne sensors.. Key drivers for this market are: Growing Demand for Geospatial Analytics in Smart City Development and Urban Planning, Integration of Advanced Technologies such as AI and ML in Geospatial Analytics Solutions. Potential restraints include: Higher Costs Associated With Geospatial Analytics Solutions. Notable trends are: Agriculture Segment is Anticipated to Hold Significant Market Share.

The Southeast Texas Urban Integrated field lab’s Co-design team captured aerial photos in the Port Arthur Coastal Neighborhood Community and the Golf Course on Pleasure Island, Texas, in June 2024. Aerial photos taken were through autonomous flight, and models were processed through the DroneDeploy engine. All aerial photos are in .JPG format and contained in zipped files for each area. The processed data package includes 3D models, geospatial data, mappings, and point clouds. Please be aware that DTM, Elevation toolbox, Point Cloud, and Orthomosaic use EPSG: 6588. And 3D Model uses EPSG: 3857. For using these data: The Adobe Suite gives you great software to open .Tif files. You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains.

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Small-format aerial images were taken in summer 2007 of Samoylov Island from from heights between 600 m and 800 m. Images overlapped so that photogrammetric methods allowed the determination of 3D coordinates (stereoscopy). All points of the DEM, with a resolution on the ground of 10 m, have a horizontal and vertical accuracy better than 1.0 m. DEM was transformd to UTM WGS84, 52N. Sinks were filled in ArcGIS (version 9) to produce a hydrologically correct DEM. […]

Part of the Nova Scotia Topographic Database (NSTDB), DTM is a vector data set of spot elevations collected from aerial photography. An elevation point is collected at ground level approximately every eighty meters in an irregular grid pattern. These spot elevations, or mass points, can be used to create profiles of the ground or Digital Elevation Models (DEM). Data download also available via GeoNova: https://nsgi.novascotia.ca/WSF_DDS/DDS.svc/DownloadFile?tkey=fhrTtdnDvfytwLz6&id=37 Map Service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10k_DTM_UT83/MapServer?f=jsapi

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