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).

This imagery service contains natural color orthophotos covering counties in north Florida that had imagery captured from October 2012 till spring 2013. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Counties covered in this dataset are: Bay, Bradford, Calhoun, Columbia, Dixie, Duval, Escambia, Franklin, Gadsden, Gilchrist, Gulf, Hamilton, Holmes, Jackson, Jefferson, Lafayette, Levy, Madison, Okaloosa, Palm Beach (partial), Santa Rosa, Suwannee, Taylor, Union, Wakulla, Walton, and Washington. Please contact GIS.Librarian@FloridaDEP.gov for more information.

This hosted tile layer provides aerial imagery for the City of Tempe. Imagery was taken in late 2024 and published in 2025.

This REST Service provides cached satellite imagery for the City of Tempe. Imagery was flown in late 2022 and early 2023.

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

This is a link to the USGS Global Visualization Viewer which can be used to locate and download a variety of remotely sensed data including the ASTER multispectral data that was used in the Utah FORGE project.

This hosted tile layer provides aerial imagery for the City of Tempe. Imagery was taken in September 2023 and published April 2024.

The U.S. Geological Survey (USGS) Aerial Photography data set includes over 2.5 million film transparencies. Beginning in 1937, photographs were acquired for mapping purposes at different altitudes using various focal lengths and film types. The resultant black-and-white photographs contain less than 5 percent cloud cover and were acquired under rigid quality control and project specifications (e.g., stereo coverage, continuous area coverage of map or administrative units). Prior to the initiation of the National High Altitude Photography (NHAP) program in 1980, the USGS photography collection was one of the major sources of aerial photographs used for mapping the United States. Since 1980, the USGS has acquired photographs over project areas that require photographs at a larger scale than the photographs in the NHAP and National Aerial Photography Program collections.

This six inch pixel resolution black and white aerial photography was flown April 22, 2000, at a negative scale of 1" = 833, flying at an altitude of 5000 feet. 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.

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).

This dataset consists of annotated high-resolution aerial imagery of roof materials in Bonn, Germany, in the Ultralytics YOLO instance segmentation dataset format. Aerial imagery was sourced from OpenAerialMap, specifically from the Maxar Open Data Program. Roof material labels and building outlines were sourced from OpenStreetMap. Images and labels are split into training, validation, and test sets, meant for future machine learning models to be trained upon, for both building segmentation and roof type classification.The dataset is intended for applications such as informing studies on thermal efficiency, roof durability, heritage conservation, or socioeconomic analyses. There are six roof material types: roof tiles, tar paper, metal, concrete, gravel, and glass.Note: The data is in a .zip due to file upload limits. Please find a more detailed dataset description in the README.md

This six inch pixel resolution color aerial photography was flown between May 9, 2009 and May 26, 2009. 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 NSRS2007 horizontal datum. The data set is tiled for dissemination into many separate tiles, each of which is 2500 feet on a side.

This six inch pixel resolution black and white aerial photography was flown between April 13, 2002 and April 26, 2002 at a negative scale of 1" = 660 (a scale ratio of 1:7,920) flying at an altitude of 3,960 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.

Aerial photographs were acquired for the Puerto Rico and U.S. Virgin Islands Benthic Mapping Project in 1999 by NOAA Aircraft Operation Centers aircraft and National Geodetic Survey cameras and personnel. Approximately 600, color, 9 by 9 inch photos were taken of the coastal waters of Puerto Rico and the U.S. Virgin Islands at 1:48000 scale. Specific sun angle and maximum percent cloud cover re...

This two foot pixel resolution black and white aerial photography was flown on various dates in July and August 1939. They were scanned in 2001, and georeferenced in 2002. This data should NOT be used at a scale larger than 1 inch = 400 feet. Due to the lack of sufficient camera calibration information, errors will increase towards the margin of each underlying photo, although this effect has been minimized by cropping individual photos to make this mosaic. Since these photos were scanned from paper prints, local distortions (from the media stretching and/or shrinking) may be present as well as pen marks and fading. Caution should be used in interpreting features in this photography with reference to current conditions. In particular, many roads and road intersections have been realigned in the more than 60 years since this photography was taken. This historic aerial photography was captured in digital form as the result of a cooperative project between the Illinois State Geological Survey and the Geographic Information Systems (GIS) and Mapping Division of the Lake County Department of Information Technology. It is part of a statewide program to preserve the oldest known extensive aerial photography for future generations. The original photography was performed by the U.S. Department of Agriculture as part of a nation-wide program for use in agricultural assessment. Since the original negatives became unstable and were destroyed by the National Archives in the 1980s, only paper prints remain. A set of paper prints representing the best available quality was assembled from the collections of several agencies.

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).

Explore a comprehensive dataset featuring over 14000 labelled urban tree canopies in images from across the globe, specifically curated for advancing tree detection methodologies. The dataset comprises image tiles in both .tif, .jpg and .png formats, following the Pascal VOC and YOLO standards. Additionally, we included a .csv summary file with all annotations. To enhance usability, labels are provided in three formats: .xml, and .txt. The RGB tiles, utilized in this dataset, are openly accessible.

This one foot pixel resolution black and white aerial photography was flown April 5, 2004 at a negative scale of 1" = 1666 (a scale ratio of 1:20000) flying at an altitude of 10,000 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" = 200. 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.

This six inch pixel resolution color aerial photography was flown between April 16, 2007 and May 7, 2007. 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.

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).