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.

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 web map was created for use in a swipe mapping application.This map displays points at which oblique aerial photographs were captured between November 4th and November 6th, 2012 after the landfall of Hurricane Sandy. These point locations are located slightly offshore due to the fact that they represent the GPS location of the camera and airplane, not the GPS location of the features shown in the images. More information on these points can be obtained by clicking a point; this will open a pop-up containing more information, as well as a thumbnail link to the larger image. Original photographs, and more information on this project can be obtained from the USGS publications page. This web map also features the park legislative boundaries for each park are included. These data can be downloaded from The National Map.

This is a set of 2371 oblique aerial photogrammetric images and their derivatives, collected from Point Conception to Point Mugu 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 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]

Discover the booming Digital Oblique Aerial Cameras market! Explore a $500 million (2025 est.) industry projected to reach $1.5 billion by 2033, driven by urban planning, security, and metaverse applications. Learn about key players, market segments, and future trends in this detailed market analysis.

Aerial image (true ortho) mosaic of the City of Melbourne municipal area. The true ortho image has been corrected to provide a true ‘top down’ view of the city, removing building lean and other interference typically found in oblique aerial imagery. The aerial image was captured May 2020 and is available for download in georeferenced format (JPEG2000).Capture Information- Capture Date: May 2020- Capture Pixel Size: 10cm ground sample distance- Map Projection: MGA 2020 Zone 55– 11 cm absolute accuracyLimitations:Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.Preview Image:See an example image showing the data quality of the aerial:Download:Download the aerial image data as a zipped .jpg2000 file. (45GB)

Aerial Photography and Imagery, Oblique dataset current as of 2009.

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.

Aerial Photography and Imagery, Oblique dataset current as of 2008. Historic aerial imagery of Blackwater National Wildlife Refuge ranging in dates from 1902-1989..

Aerial photography has been an important means of acquiring spatial data in Antarctica and the subantarctic islands, though satellite imagery is playing an increasingly important role.

The Australian Antarctic Data Centre's collection of aerial photographs includes (but is not limited to) the following.

1 Vertical and oblique aerial photography of the Australian Antarctic Territory coastline and some inland areas, acquired by the US Navy during Operation Highjump in 1946/47.

2 Vertical and oblique aerial photography flown by National Mapping (now part of Geoscience Australia) during 1954 - 1965 from fixed wing aircraft, mainly using a K17 trimetrigon camera. From 1960 the vertical camera in the system was replaced with a Wild RC9. An Eagle V camera was also used in 1963. The photography was acquired along the Australian Antarctic Territory coastline and over the Prince Charles Mountains.

3 Comprehensive and systematic coverages of the Prince Charles Mountains and Enderby Land flown by National Mapping from a fixed wing aircraft in the 1970s using a Wild RC 9 camera.

4 Photography acquired since 1977 from helicopters using non-metric Hasselblad and Linhof cameras. This photography was acquired principally for life science research and was not intended to be used for mapping. The photography was acquired over Heard Island, Macquarie Island, the Larsemann Hills, the Windmill Islands, the Vestfold Hills and Mawson Coast.

5 Photography acquired since 1992/93 by the Australian Antarctic Division and AUSLIG (now part of Geoscience Australia) from helicopters using a Zeiss UMK camera. It has been used to acquire photography for large scale mapping of the Australian Antarctic Territory, Heard Island and Macquarie Island.

6 Photography acquired since 2000 by the Australian Antarctic Division from helicopters using a Wild RC8 camera. A revision of the guidelines for overflight heights over animal colonies required that animal census photography be done with a camera with a longer focal length than the Linhof camera previously used for this type of work. This was in order to maintain the same scale at a greater height. The Wild RC8 camera has also been used for photography for mapping at the Windmill Islands.

7 Photography of sea ice acquired since 2003 by the Australian Antarctic Division from helicopters using a digital Nikon D1X digital camera.

8 Photography of Adelie penguin colonies and other features acquired since 2009/10 by the Australian Antarctic Division from helicopters using a digital Hasselblad H3D-II 50 digital camera.

Digital flight lines and photo centres have been generated to represent the runs along which the photographs were taken and the centres of the photographs.

All Australian Antarctic Division holdings of Operation Highjump photograph prints have been scanned. These 9” black and white photographs were gifted to the Australian Antarctic Division by the USA. They were photographed in 1947 by the US Navy. There may be large errors in the positions of some of the photos.

The collection can be searched in two ways.
1 A web search - see Aerial Photograph Catalogue link below. Preview images of the scanned photos may be viewed using this search. In addition to the search, the Catalogue has tabs with information about viewing or obtaining photographs, the cameras used and further historical information.

2 The flight line and photo centre data can be downloaded as shapefiles (refer to url below) and overlaid on topographic data in GIS software.
There are some flight lines for which photo centres have not yet been generated and some photo centres for which flight lines have not yet been generated. This is being done gradually over time.

The flight line and photo centre shapefiles are available for download from Geoserver - refer to the provided URL.
The photography collection can be viewed in a Spatiotemporal Asset Catalog (STAC) - refer to the provided URL.
Also available for download is a document with information about the cameras and a timeline for the photography - refer to the provided URL.

Discover the booming digital oblique aerial camera market! Explore key trends, growth drivers, and leading companies shaping this industry's future. Learn about market size, CAGR, and regional insights for informed decision-making. Invest in the future of aerial imaging.

The imagery posted on this site is in response to Integrated Ocean and Coastal Mapping requirements. The aerial photography missions were conducted by NOAA's National Geodetic Survey, Remote Sensing Division. Images were acquired from various altitudes ranging from 3,500 to 7,500 feet, using a Digital Sensor System (DSS) at a 37.5 degree look angle.

The global Digital Oblique Aerial Cameras market is poised for significant growth, projected to reach an estimated market size of $750 million by 2025, expanding at a robust Compound Annual Growth Rate (CAGR) of 12.5% through 2033. This expansion is primarily driven by the increasing demand for high-resolution aerial imagery across various critical applications. The public security sector, particularly police surveillance and border monitoring, is a major catalyst, leveraging oblique aerial cameras for enhanced situational awareness and evidence gathering. Furthermore, the burgeoning field of urban construction and planning benefits immensely from the detailed 3D mapping capabilities offered by these advanced imaging systems. The burgeoning metaverse and virtual reality development also presents a new frontier, requiring accurate and immersive digital twins of real-world environments, a task where oblique aerial cameras excel. The market's trajectory is further propelled by ongoing technological advancements, including improvements in sensor resolution, processing speeds, and integration with AI-powered analytics. Innovations in camera miniaturization and drone integration are also expanding accessibility and application areas. While the market exhibits strong growth, certain restraints, such as the high initial investment cost of sophisticated systems and the need for specialized technical expertise, could temper rapid adoption in some segments. However, the clear benefits in terms of efficiency, accuracy, and data richness are expected to outweigh these challenges. Key regions like North America and Europe are leading the adoption due to established infrastructure and a strong emphasis on smart city initiatives, while the Asia Pacific region, particularly China and India, shows immense growth potential due to rapid urbanization and increasing investment in infrastructure development and public safety.

This is a set of 1108 oblique aerial photogrammetric images and their derivatives, collected from Santa Rosa Island 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.

This is a set of 5140 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Ragged Point 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.

Aerial Photography and Imagery, Oblique dataset current as of 2010. 24" resolution for entire county.

This is a set of 11207 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Ragged Point 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.

Aerial Photography and Imagery, Oblique dataset current as of 2007.

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.