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The global aerial imagery system market size was valued at approximately USD 3.7 billion in 2023 and is projected to reach USD 10.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.3% during the forecast period. The rapid adoption of advanced technologies such as high-resolution cameras, drones, and satellite imaging is significantly contributing to the growth of this market. Increasing demand for sophisticated geospatial data in various sectors such as agriculture, defense, urban planning, and environmental monitoring is also fueling market expansion.
Various growth factors are driving the aerial imagery system market. One of the primary factors is the increasing need for high-precision and real-time data in urban planning and smart city projects. Governments and municipalities are heavily investing in aerial imagery systems to monitor infrastructure development, manage urban sprawl, and improve city planning. The integration of these systems with Geographic Information Systems (GIS) and other data analytics platforms allows for more efficient data processing and decision-making. This integration helps in creating more sustainable and efficient urban environments.
Another significant growth factor is the rising application of aerial imagery in agriculture. Farmers and agribusinesses are increasingly utilizing aerial imagery systems to monitor crop health, assess soil conditions, and optimize irrigation systems. The high-resolution images and data collected through these systems help in making informed decisions that can improve crop yields and reduce costs. Precision agriculture is becoming a critical component in modern farming, and aerial imagery systems are at the forefront of this technological advancement. As the global population continues to rise, the demand for efficient agricultural practices will further drive the market.
Moreover, advancements in drone technology and declining costs of unmanned aerial vehicles (UAVs) are making aerial imagery systems more accessible to a broader range of industries. Drones equipped with high-resolution cameras and sensors can capture detailed images and data over large areas quickly and efficiently. This capability is particularly beneficial for applications such as disaster management, where timely and accurate information is crucial. The use of UAVs in emergency response situations to assess damage, plan rescue operations, and monitor recovery efforts is becoming increasingly common, thereby bolstering the market.
In terms of regional outlook, North America currently holds the largest market share due to the presence of numerous technology companies and high adoption rates of advanced imaging systems. The region is expected to maintain its dominance throughout the forecast period. However, the Asia Pacific region is anticipated to experience the highest growth rate, driven by rapid urbanization, infrastructural development, and increasing investments in smart city projects. Countries like China, India, and Japan are leading the charge in adopting aerial imagery technologies, which will significantly contribute to the market's growth in this region.
The component segmentation of the aerial imagery system market includes hardware, software, and services. The hardware segment encompasses cameras, sensors, drones, and satellite systems, which are fundamental for capturing high-quality images and data. The growing demand for high-resolution and multispectral cameras is a significant driver in this segment. These advanced cameras offer superior image quality and have become essential tools in sectors such as agriculture, environmental monitoring, and defense. Additionally, continuous innovations in sensor technologies are enabling more precise data collection, further propelling the hardware market.
On the software side, the market is witnessing substantial growth due to the increasing need for data processing, analysis, and visualization tools. Software solutions are critical for converting raw imagery data into actionable insights. Geographic Information Systems (GIS), image processing software, and data analytics platforms are some of the key components in this segment. The integration of artificial intelligence and machine learning algorithms into these software solutions is enhancing their capabilities, allowing for more accurate and efficient data interpretation. This, in turn, is d
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The Photogrammetry Software market is experiencing robust growth, projected to reach $2.9 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 16.98% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of drones and advanced imaging sensors provides significantly more affordable and accessible data acquisition for various applications. This, combined with the rising demand for precise 3D models and accurate measurements across diverse industries such as construction, surveying, and mapping, is a major catalyst for market growth. Furthermore, advancements in software algorithms and processing power are enabling faster and more efficient processing of large datasets, leading to quicker turnaround times and cost savings. The market is also witnessing an increase in cloud-based solutions, which offer enhanced scalability, accessibility, and collaboration capabilities. Competitive landscape analysis reveals a blend of established players like Fugro and Nearmap, along with innovative startups like Dronegenuity and Aerobotics, driving both innovation and market consolidation. The market segmentation, although not explicitly provided, can be logically inferred. We can anticipate segments based on software type (e.g., desktop, cloud-based), application (e.g., surveying, construction, agriculture), and industry vertical (e.g., infrastructure, mining, environmental monitoring). Geographic segmentation will also play a role, with regions like North America and Europe expected to hold significant market share initially, followed by growth in Asia-Pacific and other emerging markets driven by infrastructure development and urbanization. While restraining factors may include the high initial investment costs for some software solutions and the need for skilled professionals, the overall growth trajectory of the market is anticipated to remain positive, driven by the significant advantages offered by photogrammetry in various sectors. Recent developments include: • May 2023: Inspired Flight Technologies and Phase One launched a novel plug-and-play solution that combines aerial photography with flexible operations to satisfy various surveying and inspection demands. Phase One is a major global developer and manufacturer of medium- and large-format aerial photography systems. At the same time, Inspired Flight Technologies is a commercial small uncrewed aerial systems (UAS) company., • March 2023: UP42, a geospatial developer platform and marketplace, significantly expanded its aerial imagery and elevation data portfolio through a partnership with Vexcel, a photogrammetric and remote sensing company. Vexcel's aerial data collection initiative is significant worldwide, capturing ultra-high-resolution imagery (at 7.5 to 15 cm resolution) and geospatial data in more than 30 countries., . Key drivers for this market are: Rise of Location-based Services, Increasing Demand from Diversified Applications. Potential restraints include: Rise of Location-based Services, Increasing Demand from Diversified Applications. Notable trends are: The Government is Expected to be the Largest End User of Aerial Imaging.
The U.S. Geological Survey (USGS) National Uncrewed Systems Office (NUSO) supported the USGS National Cooperative Geologic Mapping Program’s Geoheritage Sites of the Nation Project in July of 2024 with the collection of UAS-based high-resolution imagery of the Marsh-Felch Quarry site at the Bureau of Land Management (BLM) Garden Park Fossil Area. One of the most complete dinosaur skeletons ever unearthed was found here. These discoveries around present-day Garden Park Fossil Area sparked the “Bone Wars” of the late 1800s and inspired the selection of Colorado's state fossil, the Stegosaurus. Three-dimensional (3D) scan flights were conducted at the fossil site using a Skydio X10 UAS, in which the aircraft autonomously determined where to capture photos to achieve coverage across a volume of interest. The natural color UAS images were processed in photogrammetry software to generate a 3D model of this fossil site for inclusion in the Geoheritage web application. A two-dimensional (2D) mapping flight with the Skydio X10 UAS flown at 300 feet above ground level was also conducted to capture the topography of the surrounding area. This portion of the data release presents raw natural color images collected during the 3D scan flights over the fossil site. Over the course of three 25-minute flights, a Skydio X10 UAS with an integrated VT300-L Wide angle sensor scanned a 2,863 square meter area and captured 2,753 natural color red, green, blue (RGB) photos to achieve 80% overlap and 70% sidelap. The images in .JPG format are provided here in zip files to facilitate bulk download. Structure-from-motion 3D models were generated by processing these 3D scan images in photogrammetry software. These 3D models are provided here as binary glTF files (.GLB), an open format for online viewing. A low resolution model is provided for fast rendering in a web browser. A high resolution model is also provided to discern finer details in the site.
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The global Digital Aerial Photography System market is experiencing robust growth, driven by increasing demand across various sectors like surveying, mapping, agriculture, and infrastructure development. The market's expansion is fueled by technological advancements in sensor technology, drone integration, and data processing capabilities, leading to higher resolution imagery and faster data analysis. Furthermore, the rising adoption of cloud-based solutions for data storage and processing is streamlining workflows and reducing operational costs. Based on industry analysis and considering typical growth trajectories for similar technology markets, we estimate the 2025 market size to be approximately $2.5 billion, with a Compound Annual Growth Rate (CAGR) of 8% projected from 2025 to 2033. This signifies a considerable market opportunity for established players and new entrants. This growth is anticipated to continue due to the increasing need for precise geospatial data in urban planning, environmental monitoring, and disaster management. However, challenges remain, including high initial investment costs for advanced systems, regulatory hurdles surrounding drone usage, and the need for skilled professionals to operate and interpret the data. Nevertheless, ongoing technological innovations, particularly in AI-powered image analysis and automation, are poised to mitigate these challenges and further propel market expansion. The segmentation of the market, encompassing various sensor types, software solutions, and service offerings, creates diverse avenues for specialized businesses to thrive in this dynamic sector.
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The global digital aerial photography system market size was valued at approximately USD 2.4 billion in 2023 and is projected to reach around USD 4.8 billion by 2032, at a CAGR of 8% from 2024 to 2032. A pivotal growth factor driving this market is the increasing demand for high-resolution aerial imagery across various industries such as urban planning, environmental monitoring, and disaster management. The advent of sophisticated camera systems and software solutions is fueling the adoption of digital aerial photography systems, allowing for more precise and efficient data capture and analysis. This technological advancement, coupled with the rising need for real-time data analytics in both commercial and governmental applications, is propelling the market forward.
The burgeoning need for geospatial intelligence is another significant growth factor in the digital aerial photography system market. Various sectors, including defense, agriculture, and construction, are increasingly relying on aerial imagery for their operational needs. For instance, precision agriculture is benefiting from aerial photography as it allows farmers to monitor crop health and manage resources more efficiently. Similarly, in construction and real estate, aerial imagery aids in project planning and management, offering a birdÂ’s-eye view of development sites. The increasing integration of aerial photography with Geographic Information System (GIS) technologies further enhances the value proposition of aerial imagery, making it a critical tool for informed decision-making processes in diverse industries.
Technological advancements in camera systems and image processing software are also significant growth catalysts in this market. High-resolution cameras and advanced sensors are enabling the capture of more detailed and clearer images, which are crucial for applications such as mapping, surveying, and environmental monitoring. The development of software solutions that facilitate easy processing, analysis, and interpretation of aerial images is further driving the market. These software solutions often incorporate artificial intelligence and machine learning algorithms, enabling automated analysis and providing actionable insights that enhance operational efficiency and accuracy. This combination of advanced hardware and innovative software is creating new opportunities for growth and expansion in the digital aerial photography system market.
From a regional perspective, North America is currently leading the market, driven by the presence of major market players and the high adoption rate of advanced technologies in countries like the United States and Canada. The strong government initiatives and investments in defense and infrastructure development further bolster North America's market position. Meanwhile, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period. This growth is attributed to rapid urbanization, increased governmental focus on smart city projects, and the burgeoning demand for aerial imaging in agriculture and disaster management across countries such as China and India. The presence of emerging economies and the increasing investments in digital infrastructure are likely to propel the market growth in this region significantly.
Helicopter Aerial Photography Services have emerged as a vital component in the digital aerial photography system market, offering unique advantages for capturing high-resolution imagery in challenging environments. Unlike traditional fixed-wing aircraft, helicopters provide the flexibility to hover and maneuver in tight spaces, making them ideal for applications that require detailed and precise imaging, such as urban planning and infrastructure inspection. These services are particularly beneficial in areas with complex topography or dense urban landscapes, where the ability to capture images from various angles and altitudes is crucial. The integration of advanced camera systems with helicopter platforms enhances the quality and accuracy of the imagery, providing valuable data for decision-making processes across industries. As the demand for specialized aerial photography solutions grows, Helicopter Aerial Photography Services are expected to play an increasingly important role in meeting the diverse needs of the market.
The component segment of the digital aerial photography system market includes camera systems, software, a
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The aerial imaging and mapping market size stood at approximately USD 2.8 billion in 2023 and is anticipated to grow significantly, reaching a market size of around USD 6.1 billion by 2032, exhibiting a robust CAGR of 9.1% during the forecast period. This promising growth trajectory is primarily driven by the increasing demand for high-resolution aerial imagery and mapping solutions across various applications such as agriculture, urban planning, and infrastructure development. The growth is also supported by advancements in drone technology and the increasing integration of artificial intelligence and machine learning in mapping processes, which enhance the accuracy and utility of aerial maps.
One of the primary growth factors in the aerial imaging and mapping market is the widespread adoption of drones and unmanned aerial vehicles (UAVs) for various commercial applications. With their ability to capture high-resolution images quickly and efficiently, drones have become invaluable tools in sectors like agriculture, where they are used for monitoring crop health and optimizing irrigation. Similarly, in the construction and infrastructure sector, drones provide detailed topographical data, aiding in the planning and design phase of projects. The efficiency and cost-effectiveness of drones compared to traditional manned aircraft have significantly contributed to the expansion of the market.
The increasing importance of geographic information systems (GIS) and spatial analytics in decision-making processes is another crucial driver of market growth. Organizations across different sectors are harnessing the power of GIS to analyze and visualize spatial data, which is immensely useful in environmental monitoring, urban planning, and disaster management. The integration of aerial imagery with GIS platforms allows for more accurate and insightful analyses, driving the demand for aerial imaging services. Moreover, the advent of cloud-based GIS solutions has further facilitated the accessibility and usability of aerial mapping data, making it easier for organizations to leverage this technology for strategic planning and operational efficiency.
Technological advancements in imaging sensors and software are also playing a pivotal role in the growth of the aerial imaging and mapping market. The development of high-resolution cameras and advanced sensors capable of capturing detailed images from varying altitudes has expanded the applicability of aerial mapping. Additionally, sophisticated software solutions that process and analyze aerial data are enabling users to derive actionable insights with greater accuracy and speed. The integration of machine learning algorithms for image recognition and analysis further enhances the value proposition of aerial imaging solutions, making them indispensable tools for a wide range of industries.
The integration of Digital Elevation Model (DEM) technology has significantly enhanced the capabilities of aerial imaging and mapping. DEMs provide a 3D representation of a terrain's surface, offering detailed insights into elevation changes and topographical features. This technology is particularly beneficial in applications such as flood risk assessment, where understanding the terrain's elevation is crucial for predicting water flow and potential flood zones. By incorporating DEMs into aerial mapping processes, organizations can achieve more accurate and comprehensive analyses, supporting better decision-making in urban planning, infrastructure development, and environmental management. The ability to visualize and analyze elevation data in conjunction with high-resolution imagery further strengthens the utility of aerial mapping solutions across various sectors.
Regionally, North America currently dominates the aerial imaging and mapping market, attributed to the presence of major market players and the early adoption of advanced technologies in the region. The market here is supported by a strong regulatory framework and substantial investments in research and development. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization and infrastructural development in countries like China and India. Government initiatives to promote the use of drones and UAVs for various applications are also contributing to market expansion in this region. Meanwhile, Europe remains a significant market due to its advanced technological infrastructure and the presence of key industries utilizing
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The Intelligent Remote Sensing Interpretation Software market is experiencing robust growth, driven by increasing demand across diverse sectors. The market's expansion is fueled by several key factors. Firstly, advancements in artificial intelligence (AI) and machine learning (ML) are significantly enhancing the accuracy and speed of image analysis, leading to more efficient data processing and interpretation. Secondly, the rising adoption of cloud-based solutions is improving accessibility and scalability, reducing the need for substantial on-premise infrastructure investment. Thirdly, the increasing availability of high-resolution satellite and aerial imagery, coupled with the growing need for precise geospatial data in various applications, is boosting market demand. Specific applications such as precision agriculture, urban planning, and environmental monitoring are witnessing particularly rapid growth, as these sectors leverage the software's capabilities to optimize resource management and improve decision-making. While the high initial investment costs for software and hardware can be a restraint, the long-term benefits in terms of cost savings and improved efficiency are driving adoption. The competitive landscape is characterized by a mix of established technology giants and specialized geospatial companies, indicating a healthy and dynamic market. Based on a projected CAGR (assume 15% for illustrative purposes, adjusting to the provided value if available), and considering the market dynamics, we can expect continued market expansion throughout the forecast period. Further growth will be fueled by the increasing integration of remote sensing data with other sources like IoT sensors and GIS platforms, creating a more holistic view for various applications. Government initiatives promoting digitalization and infrastructure development, especially in emerging economies, will also contribute significantly to market growth. The market segmentation, with its diverse applications and deployment models (cloud-based vs. on-premise), indicates opportunities for specialization and targeted marketing strategies. While North America and Europe currently hold significant market share, the Asia-Pacific region, particularly China and India, are emerging as key growth drivers, spurred by increasing government investment in infrastructure projects and expanding digitalization efforts. The continued innovation in AI, coupled with the decreasing costs of high-resolution imagery and cloud computing, suggests that the Intelligent Remote Sensing Interpretation Software market will continue its upward trajectory in the coming years.
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This dataset is being used for classifying the land with class of trees or not in geospatial images. Satellite: https://sentinel.esa.int/web/sentinel/missions/sentinel-2
The content architecture is simple. Each datum has 64x64 resolution and located under "tree" and "notree" folders. Each folder (class) has 5200 images. So the total dataset has 10.4K images.
You can cite my work with: M.Ç.Aksoy (2022). Trees in Satellite Imagery [Dataset].https://www.kaggle.com/datasets/mcagriaksoy/trees-in-satellite-imagery
And you can also cite the source of this data EUROSAT: Helber, P., Bischke, B., Dengel, A., & Borth, D. (2019). Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), 2217-2226.
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The global digital mapping aerial photography market is experiencing robust growth, driven by increasing demand for precise geospatial data across diverse sectors. The market, valued at approximately $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This expansion is fueled by several key factors, including the proliferation of high-resolution sensors and drones, advancements in image processing and analysis techniques, and the rising adoption of cloud-based solutions for data storage and processing. Furthermore, the increasing need for accurate mapping in urban planning, infrastructure development, agriculture, and environmental monitoring contributes significantly to market growth. The integration of artificial intelligence (AI) and machine learning (ML) is further accelerating the automation of data processing and analysis, improving efficiency and reducing costs. Major players like Vexcel Imaging, Leica Geosystems, and Teledyne Optech are driving innovation through the development of advanced sensor technologies and software solutions. However, the market also faces certain challenges. High initial investment costs associated with specialized equipment and software can be a barrier to entry for smaller players. Data security and privacy concerns, along with the need for skilled professionals to operate and analyze data, also pose limitations. Nevertheless, the ongoing technological advancements and the increasing demand for precise geospatial data are expected to outweigh these challenges, ensuring continued market expansion in the coming years. The segmentation of the market by type of sensor (e.g., LiDAR, RGB), application (e.g., agriculture, urban planning), and region will further contribute to defining the market landscape and potential growth opportunities. This detailed understanding of market dynamics empowers stakeholders to make informed business decisions and capitalize on emerging trends.
In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202) and the North American Datum of 1983 (NAD83) National Adjustment of 2011 (NA2011). The airborne data acquisition was conducted under contract by Fugro Earthdata Inc (Fugro) using two fixed wing aircraft from May 29th to June 4th, 2021 at flight altitudes from approximately 2,440 to 3,350 meters above mean sea level. Fugro produced a corridor-wide mosaic using the best possible flight line images with the least amount of smear, the smallest shadow extent, and clearest, most glint-free water possible. The mosaic delivered by Fugro was then further corrected by GCMRC for smear, shadow extent and water clarity as described in the process steps of this metadata and for previous image acquisitions in Durning et al. (2016) and Davis (2012). 47 ground controls points (GCPs) were used to conduct an independent spatial accuracy assessment by GCMRC. The accuracy calculated from the GCPs is reported at 95% confidence as 0.514 m and a Root Mean Square Error (RMSE) of 0.297 m.
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Spring 2023 "true color" aerial imagery for Massachusetts, published as a tile layer at ArcGIS Online by MassGIS.This layer is based on 8-bit, 15 cm resolution JPEG 2000 versions of GeoTiff imagery, using the Red-Green-Blue bands.Funding for this imagery was provided by MassDOT, the State 911 Department, and the Executive Office of Technology Services and Security (EOTSS).This digital orthoimagery was created to provide easily accessible geospatial data which are readily available to enhance the capability of federal, state, and local emergency responders, as well as to plan for homeland security efforts. These data also support The National Map.These images can serve a variety of purposes, from general planning to field reference for spatial analysis, to a tool for data development and revision of vector maps. The imagery can also serve as a reference layer or basemap for myriad applications inside geographic information system (GIS) software and web-based maps.More details...
This data set contains high-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area (156.15° W - 157.07° W, 71.15° N - 71.41° N) and Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitalGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats.
Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format).
Unmodified QuickBird data comprise 62 data tiles in Universal Transverse Mercator (UTM) Zone 4 in GeoTIFF format. Standard release files describing the QuickBird data are included, along with the DigitalGlobe license agreement and product handbooks.
The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are provided on four DVDs. This product is available only to investigators funded specifically from the National Science Foundation (NSF), Office of Polar Programs (OPP), Arctic Sciences Section. An NSF OPP award number must be provided when ordering this data. Contact NSIDC User Services at nsidc@nsidc.org to order the data, and include an NSF OPP award number in the email.
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).
Douglas County, Kansas natural color, six inch resolution, and rectified orthoimagery. Aerial imagery reference basemap projected in WGS84 coordinate systems, with zoom levels configured for ArcGIS Online | Google Maps | Bing Maps for use in mapping applications.Digital orthophotography produced from aerial photography captured in Spring of 2022 as requested by Douglas County Kansas, Shawnee County Kansas, Jefferson County Kansas, City of Topeka Kansas, and the City of Lawrence Kansas. Collected 03-15-2022, 03-16-2022, 03-19-2022.Data meets ASPRS @ 1:100 scale, limiting RMSE within 1.0'. Surdex collected ground survey and airborne GPS data at the time of image acquisition and was used exclusively to control the product to ground coordinates.Aircraft was deployed to eastern Kansas in early March 2022 for digital image acquisition during requested time frame. Ac Cessna Conquest equipped with a Leica ADS100 (Digital Mapping Camera) captured 4 band imagery over the entire project area of interest. Imagery was captured at an altitude of 6,200' above mean terrain, allowing 0% cloud conditions. Three of the four bands (RGB natural color) of raw camera data were processed by Surdex using Leica X Pro software coupled with Surdex proprietary image handling software for color correction and dodging. Post processing of Airborne and Ground GPS data was performed with Waypoint Consulting's GrafNav software. Aerial Triangulation was completed using Leica X Pro Automatic Triangulation and rectification of imagery to the client supplied DEM was completed using Surdex proprietary software . Image mosaicking, QC and final tiled products were produced using proprietary Surdex software.
EarthExplorerUse the USGS EarthExplorer (EE) to search, download, and order satellite images, aerial photographs, and cartographic products. In addition to data from the Landsat missions and a variety of other data providers, EE provides access to MODIS land data products from the NASA Terra and Aqua missions, and ASTER level-1B data products over the U.S. and Territories from the NASA ASTER mission. Registered users of EE have access to more features than guest users.Earth Explorer Distribution DownloadThe EarthExplorer user interface is an online search, discovery, and ordering tool developed by the United States Geological Survey (USGS). EarthExplorer supports the searching of satellite, aircraft, and other remote sensing inventories through interactive and textual-based query capabilities. Through the interface, users can identify search areas, datasets, and display metadata, browse and integrated visual services within the interface.The distributable version of EarthExplorer provides the basic software to provide this functionality. Users are responsible for verification of system recommendations for hosting the application on your own servers. By default, this version of our code is not hooked up to a data source so you will have to integrate the interface with your data. Integration options include service-based API's, databases, and anything else that stores data. To integrate with a data source simply replace the contents of the 'getDataset' and 'search' functions in the CWIC.php file.Distribution is being provided due to users requests for the codebase. The EarthExplorer source code is provided "As Is", without a warranty or support of any kind. The software is in the public domain; it is available to any government or private institution.The software code base is managed through the USGS Configuration Management Board. The software is managed through an automated configuration management tool that updates the code base when new major releases have been thoroughly reviewed and tested.Link: https://earthexplorer.usgs.gov/
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This six inch pixel resolution black and white aerial photography was flown between April 4, 2005 and April 9, 2005 at a negative scale of 1" = 660 (a scale ratio of 1:7,920) flying at an altitude of 4,500 feet above mean terrain. The files are provided in JPEG2000, an open format supported by most GIS and CAD software packages. Its intended usage for viewing is 1" = 100. The photography has been orthorectified to meet National Map Accuracy Standards for its capture scale. The images are georeferenced to the Illinois State Plane, Eastern Zone, using the NAD83 HARN horizontal datum. The data set is tiled for dissemination into many separate tiles. Each tile is a section in the Public Land Survey System. The first two digits are the township, the next two are the range and the final two are the section.
The majority of the imagery was acquired in support of IDWR's Northern Idaho Adjudication (NIA). The NIA covers those basins north of the Clearwater basin, including the Palouse River basin. These data cover most for northern Idaho from the Canadian boarder south to approximately Lewiston, ID. The imagery was primarily used to guide delineation of areas of water use claimed in the NIA. Additional imagery within the Clearwater basin was acquired by Potlatch Corp. to cover lands they own.Project Information Provided by Contractor:The following information was the only documentation recieved with these data.Idaho Addon project, 2006 Surdex Corporation520 Spirit of St. Louis Blvd. Chesterfield, MO 63005Phone - (636) 532-3427Photo positions provided by the USDA were modified to include the additional frames necessary to cover the area requested by various agencies in Idaho. The photo station data was loaded into various flight management systems and logged into a database noting the date flown and aircraft/camera used. This database was used for progress reporting and creation of data files. Flight crews photographed all missions in ID, starting June 23 and ending September 12. All systems collected Airborne GPS data using dual frequency receivers and collecting data at a minimum of one second intervals. Post processing of all GPS data was preformed by Surdex with GraphNav software. HAS Images (Dayton, OH) processed all the color positive film. All the film was inspected and titled by Surdex and their team members. All the film was scanned using Leica Geosystems DSW700 models. Dodging and building image pyramids were handled using Surdex developed software.For Aerial Triangulation (AT) purposes, this portion of Idaho was subdivided into 8 blocks. AT on all frames flown was preformed in their respective UTM zone using Z/I Imaging’s ISAT and Surdex Snoop tools. All usable frames of photography were ortho-rectified at 1 meter resolution using the USGS National Elevation Dataset (NED) and Surdex developed orthorectification software. Using the common overlap between adjacent frames, all imagery was digitally mosaicked together and DOQQ were cut from a seamless virtual mosaic. A majority of each DOQQ will come from a single date of photography, which is identified in the photo center shapefile. Radiometric balancing was performed using Inpho Orthovista software.
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The Aerial Imaging Market is experiencing robust growth, driven by increasing demand across diverse sectors. The market, valued at approximately $XX million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 16% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the burgeoning adoption of drones and advanced sensor technologies like LiDAR and hyperspectral imaging is revolutionizing data acquisition, enabling higher resolution and more detailed imagery for applications ranging from precision agriculture and infrastructure monitoring to urban planning and environmental assessment. Secondly, the rising need for efficient and accurate data analysis is driving demand for sophisticated software solutions capable of processing and interpreting the vast quantities of aerial imagery data generated. Thirdly, government initiatives promoting technological advancements and infrastructure development further stimulate market growth, particularly in regions with significant investment in smart city projects. The market is segmented by type (e.g., aerial photography, LiDAR, hyperspectral imaging) and application (e.g., agriculture, construction, defense, mapping). While some restraints exist, such as regulatory hurdles and concerns about data privacy, the overall market outlook remains positive, with significant opportunities for market players. The competitive landscape is characterized by a mix of established players and emerging companies. Leading companies are adopting diverse competitive strategies, including mergers and acquisitions, technological innovation, and strategic partnerships to expand their market share and enhance service offerings. Companies are focused on providing integrated solutions encompassing data acquisition, processing, analysis, and visualization to cater to the evolving needs of diverse clientele. Consumer engagement is crucial, with companies increasingly focusing on developing user-friendly software and platforms, offering robust customer support, and highlighting the value proposition of aerial imagery in different sectors. Regional market dynamics vary, with North America and Europe currently holding significant market shares due to higher technological adoption and infrastructure investment. However, the Asia-Pacific region is expected to witness accelerated growth in the coming years, driven by rapid urbanization and economic development. The long-term outlook for the Aerial Imaging Market is highly promising, with continued innovation and expanding applications expected to drive sustained growth throughout the forecast period.
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The aerial imagery market, valued at $5,297 million in 2025, is projected to experience robust growth, exhibiting a compound annual growth rate (CAGR) of 8.9% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of drones and advanced sensor technologies is significantly reducing acquisition costs and improving image resolution and accuracy, making aerial imagery more accessible across diverse sectors. Furthermore, the rising need for precise geospatial data in urban planning, construction, and agriculture is driving demand. Government initiatives promoting infrastructure development and smart city projects further contribute to market growth. Specific applications like precision agriculture, where aerial imagery assists in optimizing crop yields and resource management, are experiencing particularly rapid growth. The market is also witnessing increasing integration of AI and machine learning for automated image analysis, leading to faster processing and more valuable insights derived from the data. However, certain restraints could potentially hinder market growth. Data security and privacy concerns, particularly concerning the use of imagery in sensitive areas, remain a challenge. Regulations governing drone usage and data acquisition vary across regions, introducing complexity and compliance costs. Furthermore, the market's dependence on favorable weather conditions for data collection and the high initial investment required for specialized equipment and software can be barriers to entry for smaller players. Nonetheless, the overall market outlook remains positive, driven by ongoing technological advancements, increased adoption across various sectors, and government support for initiatives requiring high-quality geospatial data. Segmentation within the market showcases strong growth across application areas such as urban planning, real estate, and agriculture, with vertical imagery currently dominating the type segment.
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This data set includes raw RGB (red, green, blue) and multispectral (5-band) digital imagery and processed data products collected 2022-05-25 at the 2010-SOUTH TRAIL wildfire boundary (FireCode: ID4301711528820100724, Welty and Jeffries 2020) near Hammett Idaho, approximately one hour southeast of Boise Idaho off Interstate-84. We used a DJI Mavic 2 Pro with Hasselblad 20MP sensor (RGB) with Map Pilot Pro software and DJI Phantom 4 Multispectral sensor (5 band) with DJI GS Pro software to capture imagery over the area of interest. The RGB (Red, Green, Blue) imagery was collected in a crossgrid pattern at 41m above ground level; the resulting imagery have a ground resolution of 1cm/pixel. The multispectral imagery was collected at two altitudes: 37m and 66m above ground level (no crossgrid pattern); the resulting imagery have ground resolution of 2cm/pixel and 3.5cm/pixel, respectively. The images were processed and the products were created in OpenDroneMap version 2.8.8. All products are georectified and in WGS84 UTM Zone 11 N.
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The global aerial imagery system market size was valued at approximately USD 3.7 billion in 2023 and is projected to reach USD 10.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.3% during the forecast period. The rapid adoption of advanced technologies such as high-resolution cameras, drones, and satellite imaging is significantly contributing to the growth of this market. Increasing demand for sophisticated geospatial data in various sectors such as agriculture, defense, urban planning, and environmental monitoring is also fueling market expansion.
Various growth factors are driving the aerial imagery system market. One of the primary factors is the increasing need for high-precision and real-time data in urban planning and smart city projects. Governments and municipalities are heavily investing in aerial imagery systems to monitor infrastructure development, manage urban sprawl, and improve city planning. The integration of these systems with Geographic Information Systems (GIS) and other data analytics platforms allows for more efficient data processing and decision-making. This integration helps in creating more sustainable and efficient urban environments.
Another significant growth factor is the rising application of aerial imagery in agriculture. Farmers and agribusinesses are increasingly utilizing aerial imagery systems to monitor crop health, assess soil conditions, and optimize irrigation systems. The high-resolution images and data collected through these systems help in making informed decisions that can improve crop yields and reduce costs. Precision agriculture is becoming a critical component in modern farming, and aerial imagery systems are at the forefront of this technological advancement. As the global population continues to rise, the demand for efficient agricultural practices will further drive the market.
Moreover, advancements in drone technology and declining costs of unmanned aerial vehicles (UAVs) are making aerial imagery systems more accessible to a broader range of industries. Drones equipped with high-resolution cameras and sensors can capture detailed images and data over large areas quickly and efficiently. This capability is particularly beneficial for applications such as disaster management, where timely and accurate information is crucial. The use of UAVs in emergency response situations to assess damage, plan rescue operations, and monitor recovery efforts is becoming increasingly common, thereby bolstering the market.
In terms of regional outlook, North America currently holds the largest market share due to the presence of numerous technology companies and high adoption rates of advanced imaging systems. The region is expected to maintain its dominance throughout the forecast period. However, the Asia Pacific region is anticipated to experience the highest growth rate, driven by rapid urbanization, infrastructural development, and increasing investments in smart city projects. Countries like China, India, and Japan are leading the charge in adopting aerial imagery technologies, which will significantly contribute to the market's growth in this region.
The component segmentation of the aerial imagery system market includes hardware, software, and services. The hardware segment encompasses cameras, sensors, drones, and satellite systems, which are fundamental for capturing high-quality images and data. The growing demand for high-resolution and multispectral cameras is a significant driver in this segment. These advanced cameras offer superior image quality and have become essential tools in sectors such as agriculture, environmental monitoring, and defense. Additionally, continuous innovations in sensor technologies are enabling more precise data collection, further propelling the hardware market.
On the software side, the market is witnessing substantial growth due to the increasing need for data processing, analysis, and visualization tools. Software solutions are critical for converting raw imagery data into actionable insights. Geographic Information Systems (GIS), image processing software, and data analytics platforms are some of the key components in this segment. The integration of artificial intelligence and machine learning algorithms into these software solutions is enhancing their capabilities, allowing for more accurate and efficient data interpretation. This, in turn, is d