Oblique and nadir imagery was acquired to assess shoreline impacts and landslide threats of various areas in California. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired using a Digital Sensor System (DSS) version 6.

This is a set of 2135 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.

Georectified and tonally balanced aerial photographs collected in 1938 by the U.S. Bureau of Reclamation along the floodplain of the Colorado River in Mohave Valley, Arizona, California, and Nevada.

The UCSB Map & Imagery Laboratory created this web map app to show the locations of each of California's 21 Spanish Missions in relationship to their landscapes and neighborhoods. Photographs from MIL's extensive collection of historic aerial photography and dedicated staff and students made this project possible.

This data set is a mosaic made from aerial photographs acquired from the Modoc National Forest with photo dates throughout the summer of 1946. The 126 original photographs were scanned and orthorectified in December 2002. The aerial photographs were scanned and orthorectified by the Geographical Information Center, California State Univ., Chico, using PCI Ortho software in December 2002. The mosaic was created in September 2004. Additional mosaic reformatting was done in 2005 and 2020 by the California Department of Fish and Wildlife.

The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products using historic aerial imagery and Structure from Motion (SfM) photogrammetry methods. A point cloud dataset (.laz) of the South Cow Mountain Recreational Area was generated from stereo historical aerial imagery acquired in by the BLM in 1977. The aerial imagery was downloaded from the USGS Earth Resources Observation and Science (EROS) Data Center's USGS Single Aerial Frame Photo archive and the point cloud was created using USGS guidelines. Photo alignment, error reduction, and dense point cloud generation followed guidelines documented in Over, J.R., Ritchie, A.C., Kranenburg, C.J., Brown, J.A., Buscombe, D., Noble, T., Sherwood, C.R., Warrick, J.A., and Wernette, P.A., 2021, Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6— Structure from motion workflow documentation: U.S. Geological Survey Open-File Report 2021–1039, 46 p., https ...

This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).

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The existing raster dataset corresponds to the year 1952, with data obtained from the UCSB Frame Finder Aerials, an online library collection database of aerial photography. The existing raster dataset contains two different flights, ABM-1952 and PAI-ABC, flown by Southwestern Aerial Surveys and Pacific Air Industries respectively, in order to provide a more comprehensive coverage of the city of Roseville. Some areas display apparent constrasts, such as plowed field vs. unplowed field, due to the fact that each flight was taken in different months in 1952. Both flights are displayed at a scale of 1:20:000The following photo frames were used to create the raster dataset: pai-abc_y8-144, pai-abc_y8-146, pai-abc_y8-140, pai-abc_y8-139, pai-abc_y8-141, pai-abc_y8-143, pai-abc_3k-28, pai-abc_3k-106, abm-1952_1k-68, amb-1952_1k-65, abm-1952_1k-28, abm-1952_1k-12, abm-1952_1k-67, abm-1952_1k-82, abm-1952_1k-80, abm-1952_1k-81, abm-1952_9k-84, abm-1952_9k-81.

Access the Data:

Access the REST Service from https://ags.roseville.ca.us/arcgis/rest/services/PublicServices/. View the data in our Historical Imagery Collection.Add data to ArcMap or ArcPro by clicking on “View Metadata” and selecting “Open in ArcGIS Desktop”.

The National Aeronautics and Space Administration (NASA) Aerial Photography data set is a film archive of photographs from the Lyndon B. Johnson Space Center (JSC) in Houston, Texas, and the NASA Ames Research Center in Moffett Field, California. In 1965, the JSC initiated the Earth Resources Aircraft Program and began flying photographic missions for Federal Government agencies and other entities involved in remote sensing experiments. Beginning in 1966, NASA conducted an Earth Observations Program, including Earth surveys using aircraft platforms.

 Photographs from a variety of NASA programs provide project-specific coverage
 over the United States, Grand Bahama, Jamaica, and Central America at base
 scales ranging from 1:16,000 scale to 1:450,000 scale. Film types, scales,
 acquisition schedules, flight altitudes, and end products differ, according to
 project requirements.

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.

This index identifies project areas on provincial highways where aerial photography and photogrammetric mapping has been collected.

This data release publishes datasets of historical aerial photograph orthomosaics covering areas within and surrounding Lassen Volcanic National Park, California. The historical imagery provides a high-resolution, spatially contiguous record of the park’s landscape across six dates ranging from 1941-2004. A total of 990 hard-copy aerial photographs taken in 1941, 1952, 1966, 1973, 1998, and 2004 were scanned at 800 dpi with an Epson Expression 12000XL. The 1941-1966 images are in black and white and scanned in 16-bit greyscale, and 1973, 1998 and 2004 are in color and scanned as 24-bit RGB. Like many historical aerial photograph collections, most of the flight and camera parameters were missing; Structure-from-Motion (SfM) software offers an efficient solution for orthorectifying images that lack these parameters. We used a SfM software called Agisoft Metashape Professional (v.1.6) to generate the orthomosaics for each image year, which were aligned with sets of reference Ground Control Points (GCPs). Average Root Mean Square Error (RMSE) ranged from 4.07-140 cm, and average reprojection errors ranged from 0.56-0.78 meters. Each orthomosaic metadata file contains specific information on image processing, number of GCPs used and estimated error.

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This product is a georectified and tonally balanced mosaic of aerial photographs collected in 1938 by the U.S. Bureau of Reclamation along the floodplain of the Colorado River in Mohave Valley, Arizona, California, and Nevada. The mosaic is provided in both GeoTIFF and MrSID file format.

To support a wide range of efforts to understand the geographic context and historical conditions of the Indian residential schools sites for a wide range of stakeholders, Indigenous Services Canada has created a Web service to access and visualize historical aerial photography for those sites. The Historical aerial photography of Indian residential schools dataset contains digital scans of aerial photographs that were acquired from 1924 to 1998 over Indian Residential school sites and surrounding areas across Canada, as well as basic information about each photography and depicted site. The digital images were georeferenced, to match ground coordinates, saved in a resampled uncompressed raster format and compiled in a single mosaic layer. The dataset does not include the complete range of aerial photographs of each site. Instead, an attempt has been made to select a single optimal photograph for each site based on good photographic quality and the site's years of operation. In some cases no photograph is available, and in others a photograph was only available after the years of operation. The source scanned prints was obtained from the archives of the National Air Photo Library (NAPL) of Natural Resources Canada (NRCAN). This dataset should be considered evergreen as new information and photography sources are identified. It should be noted that this dataset can only be downloaded using ArcGIS and ArcPro software as well as other GIS software.

Natural color representation of NAIP 2012 1-meter resolution aerial imagery. Band1=R, Band2=G, Band3=B.This service is offered by the California Department of Fish and Wildlife (CDFW) - formerly California Department of Fish and Game. For more information about CDFW map services, please visit: https://www.dfg.ca.gov/biogeodata/gis/map_services.asp