Oblique aerial photography is an airborne mapping technique, which uses a professional grade DSLR camera to capture images out the side of our aircraft. Images are geo-referenced using our GPS systems to provide the position of the plane for each image. The Environment Agency has been capturing oblique aerial photography during incident response since 2010, and for bespoke surveys such as cliff line monitoring. Images can be captured in all survey conditions which can have a large influence on the quality of the imagery.

The imagery is available as a JPEG image. Contained within the EXIF metadata for each image is a geo-referenced GPS coordinate of the plane during exposure. These coordinates are in WGS1984 latitude, longitude.

When requesting download of aerial obliques all imagery within a 5km OS Grid is retuned for each type and year of survey. The 'types' of survey available are 'Incident Response' (data captured in varying lighting conditions usually for assessment of flood extent) and 'Other' (bespoke monitoring surveys such as cliff line assessments).

Please refer to the metadata index catalgoues which provde the date and time each image was taken and the location of the plane. The direction the plane was travelling along with the the image view angle is also provided. The image view angle is an approximate direction the camera was pointing for each image with all images captured out the left hand side of the plane.

Point Index of Oblique Aerial Imagery. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. Show full description

The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On May 19-22, 2009, the USGS conducted an oblique aerial photographic survey from Owls Head, Maine, to the Virginia/North Carolina border, aboard a Cessna 207A aircraft at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2, http://pubs.usgs.gov/ds/0946/html/ds946_fig2.html). This mission was flown to collect data for assessing incremental changes since the last survey, flown October 2000, and can be used for assessing future coastal change. The photographs provided here are Joint Photographic Experts Group (JPEG) images. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of the feature in the images. (See the Navigation Data page in the corresponding report, for additional details, http://pubs.usgs.gov/ds/0946/html/ds946_nav.html). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. ExifTool (http://www.sno.phy.queensu.ca/~phil/exiftool/) is a free software program for reading, writing, and manipulating image, audio, and video metadata. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet. All image times are recorded in UTC. Table 1 (http://pubs.usgs.gov/ds/0946/html/ds946_table.html) provides detailed information about the assigned location, name, date, and time the photograph was taken along with links to the photograph. In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files. Note: A KML number was assigned to each photograph to aid navigation of the Google Earth file. These numbers correspond to the site labels in Google Earth.

In July 2012, a helicopter-based crew photographed approximately 22 miles (35 km) of shoreline near Golovin, Alaska, from the Yuonglik River delta southeast to Portage Creek. During this flight 572 oblique aerial photographs were collected and spatially referenced using a Garmin Dakota 20 handheld GPS.

The Civil Air Patrol is routinely tasked by FEMA and local public safety officials with taking aerial photographs. This collection comprises nearly 30,000 photos taken over the Hurricane Harvey study area, between August 19, 2017 and June 2, 2018. The majority of this collection were taken over southeast Texas from August 10 to September 2, 2017. These were originally uploaded to the web using the GeoPlatform.gov imageUploader capability, and hosted as a web map layer [1]. For this Harvey collection, I exported the dataset of photo location points to a local computer, subset it to the Harvey event, and created a shapefile, which is downloadable below. The photos and thumbnails were not included in this archive, but are attribute-linked to the FEMA-Civil Air Patrol image library on Amazon cloud [2].

The primary resource for these photos is the University of Texas at Austin Center for Space Research (UT CSR), hosted at the Texas Advanced Computational Center (TACC) [3]. These photos are organized by collection date, and each date folder has photo metadata in Javascript (js) and json format files. UT CSR has published a separate web app for browsing these photos [4], as well as several other flood imagery sources.

Note: The cameras used by the Civil Air Patrol do not have an electronic compass with their GPS to record the viewing direction. The easiest way to determine the general angle is to look at consecutive frame counterpoints to establish the flightpath direction at nadir and adjust for the photographer's position behind the pilot looking out the window hatch on the port (left) side of the aircraft. The altitude above ground level is typically between 1000-1500 feet, so it's easy to locate features in reference orthoimages.

Another source of aerial imagery is from the NOAA National Geodetic Survey (NGS) [5]. This imagery was acquired by the NOAA Remote Sensing Division to support NOAA homeland security and emergency response requirements.

References [1] US federal GeoPlatform.gov Image Uploader map service (ArcGIS Server) [https://imageryuploader.geoplatform.gov/arcgis/rest/services/ImageEvents/MapServer] [2] FEMA-Civil Air Patrol image library on Amazon cloud [https://fema-cap-imagery.s3.amazonaws.com] [3] UT CSR primary archive for Harvey photos on TACC [https://web.corral.tacc.utexas.edu/CSR/Public/17harvey/TxCAP/] [4] UT CSR web app for browsing CAP photos [http://magic.csr.utexas.edu/hurricaneharvey/public/] [5] NOAA NGS Hurricane Harvey Imagery [https://storms.ngs.noaa.gov/storms/harvey/index.html#7/28.400/-96.690]

Digital Oblique Aerial Cameras Market Outlook

The global digital oblique aerial cameras market size is projected to grow significantly from USD 2.3 billion in 2023 to USD 5.7 billion by 2032, boasting a robust CAGR of 10.8% during the forecast period. This growth is driven by increasing demand for high-resolution aerial imagery in various sectors, ranging from urban planning to environmental monitoring. The surge in applications, technological advancements, and rising investment in infrastructure projects are some of the key factors propelling the market forward.

The digital oblique aerial cameras market is experiencing a boom due to rapid urbanization and the subsequent need for detailed urban planning and management. As cities expand and evolve, urban planners and government bodies require precise and comprehensive aerial imagery to make informed decisions about infrastructure, zoning, and developmental projects. These cameras provide multi-angle views, which are invaluable in creating accurate 3D models and maps, thus enhancing the efficiency and effectiveness of urban planning initiatives.

Technological advancements in camera systems have significantly contributed to market growth. Innovations such as high-resolution sensors, advanced image processing algorithms, and integration with geographic information systems (GIS) have greatly improved the quality and utility of aerial imagery. These advancements enable the capture of detailed, accurate, and actionable data, which is crucial for applications such as disaster management, surveillance, and environmental monitoring. The increasing affordability and usability of these advanced systems are further encouraging their adoption across various sectors.

Another major growth factor is the increasing application of digital oblique aerial cameras in disaster management and response. Natural disasters such as floods, earthquakes, and wildfires necessitate rapid assessment and accurate mapping to coordinate effective response and recovery efforts. The ability of oblique aerial cameras to capture images from different angles provides a comprehensive view of affected areas, enabling authorities to assess damage, plan evacuation routes, and deploy resources efficiently. This capability is driving substantial investment in these camera systems by governments and emergency response organizations worldwide.

The integration of Aerial Mapping Camera System technology is revolutionizing the way we capture and interpret aerial imagery. These systems are equipped with advanced sensors and imaging capabilities that allow for precise data collection from the sky. By providing high-resolution images and detailed mapping, they are essential tools for urban planners, environmental scientists, and emergency responders. The ability to capture data from multiple angles and heights enables the creation of comprehensive 3D models and maps, which are invaluable for various applications, including infrastructure development and disaster management. As the demand for accurate and actionable aerial data continues to rise, the role of aerial mapping camera systems in enhancing decision-making processes becomes increasingly critical.

Regionally, North America and Europe are leading the market due to extensive adoption across various applications, supported by strong infrastructure and technological advancements. However, the Asia Pacific region is expected to witness the highest growth rate, driven by rapid urbanization, increased government spending on smart city initiatives, and significant investments in infrastructure development. The growing need for efficient urban planning and disaster management in densely populated countries like China and India is a major factor contributing to the market's expansion in this region.

Product Type Analysis

The digital oblique aerial cameras market is segmented by product type into single-lens and multi-lens systems. Single-lens cameras, being simpler and cost-effective, are widely used for basic applications where high-resolution imagery is not critical. These cameras are popular in small-scale urban planning projects and environmental monitoring tasks where the requirement for detailed imaging is limited. Their straightforward design and ease of use make them accessible for various commercial and governmental uses, thereby supporting market growth in this segment.

Multi-lens cameras, on the other hand, are designed to capture high-r

As of October 2021, this application is offline. Oblique Aerial Images For DC displays multiple 45 degree angled views for any location. An array of five digital cameras capture oblique and nadir (straight-down) views, enabling users to visualize, measure and analyze all sides of a structure or ground feature. The uses for oblique imagery are growing; in DC, it is most heavily used in the areas of first response/emergency management, urban planning, and property assessment.

Download 2024 Oblique Aerial Photos in Tif image format.On May 16 2024, Digital Mapping Inc acquired high resolution oblique imagery in the Aspen area. Oblique imagery is captured at an angle to the ground and is available as individual images for data download.

Dataset

This dataset was created by Deepak Kumar Saxena

Contents

The global market for Digital Oblique Aerial Cameras is experiencing robust growth, driven by increasing demand across diverse sectors. While the exact market size for 2025 is not provided, considering typical growth rates in the technology sector and the expanding applications of aerial imagery, a reasonable estimate for the 2025 market size would be $500 million. This is based on the understanding that specialized technology markets such as this typically show substantial growth, and the numerous applications described (public security, urban construction, metaverse development etc.) support this estimate. Assuming a Compound Annual Growth Rate (CAGR) of 15% (a conservative estimate given the technological advancements and increasing adoption), the market is projected to reach approximately $1.5 billion by 2033. Key drivers include the rising need for precise and detailed mapping in urban planning and infrastructure development, the growing adoption of advanced analytics for improved decision-making, and the expansion of applications in sectors like metaverse development and public security. The market is segmented by aircraft type (medium, small, helicopter) and application (public security, urban construction, metaverse, other), offering diverse opportunities for specialized camera manufacturers. However, high initial investment costs and the need for skilled personnel to operate and process the data represent potential restraints on market expansion. The North American and European markets currently hold significant shares, but rapid growth is expected in the Asia-Pacific region due to increasing infrastructure development and technological advancements. The competitive landscape is characterized by a mix of established players and emerging companies. Established players like Trimble and Leica Geosystems benefit from their brand recognition and extensive distribution networks, while smaller companies and startups are innovating with advanced camera technologies and software solutions. This competitive environment is encouraging ongoing innovation in sensor technology, image processing software, and drone integration, leading to improved image quality, data analysis capabilities, and overall efficiency in aerial data acquisition. The market shows a strong trajectory for growth in the next decade, further influenced by the ongoing advancements in AI and machine learning for automated image processing and analysis. This will significantly reduce processing time and costs, making the technology even more attractive to a broader range of users.

This is a set of 2876 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

The U.S. Geological Survey (USGS) conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On September 9-10, 2008, the USGS conducted an oblique aerial photographic survey (during Field Activity Number [FAN] 08ACH05) from Calcasieu Lake, Louisiana, to Brownsville, Texas, aboard a Cessna C-210 aircraft at an altitude of 500 feet (ft) and approximately 1,000 ft offshore (Figure 2, http://pubs.usgs.gov/ds/0991/html/ds991_fig2.html). This mission was flown to collect data for assessing incremental changes in the beach and nearshore area and can be used for assessing future coastal change. The photographs provided here are Joint Photographic Experts Group (JPEG) images. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of the feature in the images (See the Navigation Data page, http://pubs.usgs.gov/ds/0991/html/ds991_nav.html). Thes ...

In August 2013, a helicopter-based crew photographed approximately 52 miles (84 km) of shoreline near Port Heiden, Alaska, from 7 miles (11 km) northeast of Reindeer Creek, known locally as North Creek, to 10 miles (16 km) southwest of Strogonof Point. During this flight, 1,441 oblique aerial photographs were collected and were spatially referenced using a Garmin Dakota 20 handheld GPS. For a complete description of the image collection and file organization process please see the detailed metadata associated with this Raw Data File.

In July 2011, a helicopter-based crew photographed approximately 180 miles of shoreline along the eastern edge of Norton Sound, from Cape Denbigh to south of Unalakleet, AK. During this flight 2,180 oblique aerial photographs were collected and spatially referenced using a Garmin Dakota 20, handheld GPS. The communities of Unalakleet and Shaktoolik lie along the flight-line of this project.

In August 2013, a helicopter-based crew photographed approximately 52 miles (84 km) of shoreline near Port Heiden, Alaska, from 7 miles (11 km) northeast of Reindeer Creek, known locally as North Creek, to 10 miles (16 km) southwest of Strogonof Point. During this flight, 1,441 oblique aerial photographs were collected and were spatially referenced using a Garmin Dakota 20 handheld GPS. For a complete description of the image collection and file organization process please see the detailed metadata associated with this Raw Data File.

This dataset holds the process chain to produce a orthomosaic from oblique aerial photographs acquired by Gautier using a cessna airplane and a handheld 35 mm camera on April 11, 1988 . We digitized the original colour diapos and created a orthomosaic using ground control points from Google Maps and a structure from motion software (SfM). The datasets contains the scanned diapos, the ground control points and the finale orthomosaic with a 20 cm ground resolution.

The global mapping oblique camera market is experiencing robust growth, driven by increasing demand across diverse sectors. The market's expansion is fueled by several key factors: the rising need for high-resolution imagery in applications such as precision agriculture, urban planning, and infrastructure development; advancements in camera technology leading to improved image quality and efficiency; and the increasing adoption of UAVs (Unmanned Aerial Vehicles) for aerial photography, lowering costs and increasing accessibility. The forestry and mining industries are significant contributors, utilizing oblique imagery for detailed terrain mapping and resource management. Furthermore, the growth of smart cities initiatives is stimulating demand for detailed 3D city models, further propelling market expansion. We estimate the market size to be approximately $1.5 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 12% projected through 2033. This growth is anticipated to be relatively consistent across regions, although North America and Europe will likely maintain a larger market share due to early adoption and advanced technological infrastructure. However, the market faces certain restraints. High initial investment costs for high-end oblique cameras can be a barrier to entry for smaller businesses. Data processing and analysis require specialized software and expertise, potentially limiting wider adoption. Furthermore, regulatory hurdles surrounding UAV usage and data privacy in some regions may impede market growth. Despite these challenges, the long-term outlook for the mapping oblique camera market remains positive. The ongoing development of more affordable and user-friendly systems, coupled with the increasing availability of cloud-based processing solutions, is expected to drive wider market penetration across diverse applications and geographical locations. The segmentation by camera type (half-frame, full-frame) reflects varying needs for image resolution and project scale. The competitive landscape is characterized by a mix of established players and emerging technology companies, fostering innovation and competition within the market.

267 black and white oblique aerial photos for parts of West Berlin. The aerial photos have a resolution of 800 DPI and were taken from the west with varying degrees of overlap. The scale number is an average value due to the oblique recording.

In 2019, an image flight was carried out for the first time for the state of Bremen, during which high-resolution oblique aerial photographs (angular aerial photographs) were created. The camera takes both vertical and oblique images on all 4 sides at the same time.

The oblique images serve as a source for the analysis of urban situations within the entire urban area.
The preparation has a resolution of 10 to 20 cm.

Index to high quality Color Infrared oblique aerial imagery of Minnesota wild and scenic river system. Leaf off, snow off conditions. Feature class contains hyperlink to photos taken in spring of 2009.