Use the + and - buttons to zoom in and out, or center scroll button on your mouse.Hold the left mouse button down and drag to pan the map.Use the Map Date drop down to turn on and off Years to view different imagery regarding Historical Aerials from the Las Vegas Valley.Please be patient as the Imagery Data loads.

Aerial imagery of the state of Washington, from National Agricultural Imagery Program (NAIP)

Web App. View historic aerials in St. Louis County, Missouri from 1937 to 2024.

Google Earth Aerial Image of PGE Harborton restoration project and surrounding areas. Surrounding areas are included to provide relative changes to the industrialized areas and ease of using a slider tool.

Declassified satellite images provide an important worldwide record of land-surface change. With the success of the first release of classified satellite photography in 1995, images from U.S. military intelligence satellites KH-7 and KH-9 were declassified in accordance with Executive Order 12951 in 2002. The data were originally used for cartographic information and reconnaissance for U.S. intelligence agencies. Since the images could be of historical value for global change research and were no longer critical to national security, the collection was made available to the public. Keyhole (KH) satellite systems KH-7 and KH-9 acquired photographs of the Earth’s surface with a telescopic camera system and transported the exposed film through the use of recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications. The KH-7 surveillance system was a high resolution imaging system that was operational from July 1963 to June 1967. Approximately 18,000 black-and-white images and 230 color images are available from the 38 missions flown during this program. Key features for this program were larger area of coverage and improved ground resolution. The cameras acquired imagery in continuous lengthwise sweeps of the terrain. KH-7 images are 9 inches wide, vary in length from 4 inches to 500 feet long, and have a resolution of 2 to 4 feet. The KH-9 mapping program was operational from March 1973 to October 1980 and was designed to support mapping requirements and exact positioning of geographical points for the military. This was accomplished by using image overlap for stereo coverage and by using a camera system with a reseau grid to correct image distortion. The KH-9 framing cameras produced 9 x 18 inch imagery at a resolution of 20-30 feet. Approximately 29,000 mapping images were acquired from 12 missions. The original film sources are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery.

The National Aerial Photography Program (NAPP) was coordinated by the USGS as an interagency project to acquire cloud-free aerial photographs at an altitude of 20,000 feet above mean terrain elevation. The photographs were taken with a 6-inch focal length lens at a scale of 1:40,000. Coverage over the conterminous United States includes both black-and-white (BW) and color infrared (CIR) aerial photographs. Film type and extent of coverage were determined by available funds and operational requirements. The NAPP program, which was operational from 1987 to 2007, consists of more than 1.3 million images. Photographs were acquired on 9-inch film and were centered over quarters of USGS 7.5-minute quadrangles.To view historical imagery availability by county please visit the Historical Availability of Imagery map.To view more NAPP imagery visit the NAPP Historical Imagery Portfolio app.For ordering information please contact the GEO Customer Service Section at geo.sales@usda.gov.

This Hub contains information, resources and discovery of Commonwealth Historical Aerial Photography across Australia. Geoscience Australia has developed the Historical Aerial Photography (HAP) collection in an online data delivery system. Using the application, uses can search and download the commonwealth photography collection for free. The hub demonstrates the breadth of the collection and showcases the efforts in collecting and curating an extensive physical collection of film and documents.

Geoscience Australia has the most extensive historical aerial photography collection in terms of land coverage and time (from 1928-1996). This online catalogue provides means of easy search of the collection records. The mapping system allows users to understand what information is available and, if digitised, to preview and download the image data.

The application contains a map which users can search areas, current location or an area of interest, as well as customize the search criteria (date range, film number etc). The search results list the available aerial photography or flight line diagram, and if is available for direct download for free.

Collection of digitised orthophoto maps over Queensland at various scales 1975–1996. An orthophoto map displays traditional map contours over an aerial photograph base. The quality of scans varies. The majority of series include key maps.

Please note: Each CSV file includes a jpg_linkage column this column contains the URL required to access the related map scan.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

This dataset features a collection of historical orthorectified aerial photographed images of the Brisbane City Council local government area captured by piloted aircraft during 1946.

Prior to satellite imagery, extensive use was made of aerial photography to capture land information. The 1946 imagery service uses the Geocentric Datum of Australia 1994 (GDA94) datum and is projected in Zone 56 of the Map Grid of Australia (MGA56).

This dataset is a tile layer, to view the images or to access the data, use the ArcGIS Hub, HTML and API links in the Data and resources section below.

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 1980's, only paper prints remain. A set of paper prints representing the best available quality was assembled from the collections of several agencies.

The first generation of U.S. photo intelligence satellites collected more than 860,000 images of the Earth’s surface between 1960 and 1972. The classified military satellite systems code-named CORONA, ARGON, and LANYARD acquired photographic images from space and returned the film to Earth for processing and analysis. The images were originally used for reconnaissance and to produce maps for U.S. intelligence agencies. In 1992, an Environmental Task Force evaluated the application of early satellite data for environmental studies. Since the CORONA, ARGON, and LANYARD data were no longer critical to national security and could be of historical value for global change research, the images were declassified by Executive Order 12951 in 1995. The first successful CORONA mission was launched from Vandenberg Air Force Base in 1960. The satellite acquired photographs with a telescopic camera system and loaded the exposed film into recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications. The intelligence community used Keyhole (KH) designators to describe system characteristics and accomplishments. The CORONA systems were designated KH-1, KH-2, KH-3, KH-4, KH-4A, and KH-4B. The ARGON systems used the designator KH-5 and the LANYARD systems used KH-6. Mission numbers were a means for indexing the imagery and associated collateral data. A variety of camera systems were used with the satellites. Early systems (KH-1, KH-2, KH-3, and KH-6) carried a single panoramic camera or a single frame camera (KH-5). The later systems (KH-4, KH-4A, and KH-4B) carried two panoramic cameras with a separation angle of 30° with one camera looking forward and the other looking aft. The original film and technical mission-related documents are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery. Mathematical calculations based on camera operation and satellite path were used to approximate image coordinates. Since the accuracy of the coordinates varies according to the precision of information used for the derivation, users should inspect the preview image to verify that the area of interest is contained in the selected frame. Users should also note that the images have not been georeferenced.

Landgate has historical aerial imagery covering a large portion of Western Australia. Aerial imagery has been captured from 1948 to the present day. This dataset provides historical aerial photography boundaries and metadata associated with each project. Note: Some projects have not yet been catalogued. For more information please visit Landgate's Photography prints and enlargements page. © 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.

The data archive contains the aerial photographs and channel delineations used in our analysis. The images have been geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). The separate images for each year can be viewed as a composite along with that year’s channel delineation using a geographic information system (GIS). The 2003 IKONOS satellite imagery is proprietary and, therefore, cannot be served here. The pre1939 shapefile serves as a reference for the original location of the flood plain that formed before the earliest photos were taken in 1939, and is not associated with any aerial images. The channel delineations for all photo years (including 2003) and the delineation of the outer flood-plain boundary are stored as shapefiles. These shapefiles can be manipulated using GIS applications to reproduce the spatial analyses reported in Miller and Friedman (2009). This metadata record is associated with the project landing page that describes the entire data package. There are nine child items on the main landing page; one represents the pre1939 reference shapefile and the other eight child items are each associated with a different repeat photography year. Each of these eight child items provide all images taken in that year (with the exception of 2003) and a SHP file that delineates channel location. Each year's photography consists of 4-8 scanned and referenced aerial photographs or digital satellite imagery in a geoTIFF format. SHP files from any year can be overlaid on top of the images to visualize change in channel location. TIFF images and associated SHP files are included as attachments or external sources and can be downloaded directly from the ScienceBase page. Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability on flood-plain formation and destruction, Little Missouri River, North Dakota. Geological Society of America Bulletin 121:752-759.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The near-real-time data dissemination service is delivered by Earth Observation from Space - a Program of Geoscience Australia responsible for acquiring, curating and analysing remotely sensed data from satellites orbiting the earth.

Landsat 7 and Landsat 8 data is scene based and comprises preview images in JPG format (one at high and one at low resolution) and individual files per spectral band in TIFF format. Included with the data are licence and product descriptions where applicable.

All files are in folders sorted according to date of acquisition and are made available within 3 to 6 hours of the receipt of source information.

Only the last few days of data is held on the server due to the size of the imagery files. Downloading data requires an FTP enabled browser.

ftp://ftp.ga.gov.au/outgoing-emergency-imagery

Landsat ETM+, TM and MSS data is available under Creative Commons Licence 3.0

Dataset History

Geoscience Australia receives and processes data from the Landsat series of satellites. The Landsat Program is the longest running satellite series for imaging Earth from space. The first satellite in the series was launched in 1972, and since then seven satellites have been launched. The eighth satellite, the Landsat Data Continuity Mission, is due to be launched early 2013. The Landsat Program has produced one of the most successful satellite ventures in space history with Landsat 5. Commencing in March 1984, the satellite had an expected life of 3 years. As of 2012 Geoscience Australia no longer processes or distributes Multispectral Scanner (MSS) data.

Of the sensors carried, the Multispectral Scanner (MSS) with 80-metre pixels and four spectral bands was found to provide information of unforeseen value. In July 1982, the launch of Landsat 4 saw the inclusion of the Thematic Mapper (TM) sensor with a 30-metre resolution and 7 spectral bands. Both sensors are on Landsat 5.

The newest in this series of remote sensing satellites is Landsat 7. Launched on 15 April 1999, Landsat 7 has the new Enhanced Thematic Mapper Plus (ETM+) sensor. This sensor has the same 7 spectral bands as its predecessor, TM, but has an added panchromatic band with 15-metre resolution and a higher resolution thermal band of 60 metres. The ETM+ sensor also has a five percent absolute radiometric calibration.

Landsat MSS data was recorded over Australia by USGS from 1972 to 1979. Geoscience Australia (then ACRES) began acquisition of this data in September 1979. Acquisition of Landsat MSS image data ceased in December 1997. From late 1979 we have archived nearly every pass over Australia and continue to receive and archive data from Landsat 7 daily.

Dataset Citation

Geoscience Australia (2015) HUN Historical Landsat Images Mine Foot Prints v01. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/28de7771-28f5-4d24-943f-0addea07c8c4.

Image library of (1) tile-drained landscapes and (2) tile-drain types used for training a machine-learning model that identifies (1) tile-drained landscapes and (2) differentiates two types of tile-drained areas visible in satellite imagery. These images were sourced from WorldView, Quickbird, and GeoEye satellite imagery (copyright DigitalGlobe) and cropped to features of interest. Imagery has a ground resolution of 0.34 - 0.65 m.

Google Earth Aerial Image of Linnton Mill restoration project and surrounding areas. Surrounding areas are included to provide relative changes to the industrialized areas and ease of using a slider tool.

Historical Landsat mosaics Href are derived from data provided by Thematic Mapper-instrument onboard Landsat-4 and -5 satellites. Satellite images have been downloaded from archives of USGS and ESA. The value of pixel is the estimate of ground reflectance, multiplied by coefficient 10000. Mosaics contain seven bands;

1. TM band 1: Blue reflectance
2. TM band 2: Green
3. TM band 3: Red
4. TM band 4: Near infrared
5. TM band 5: Short wave infrared
6. TM band 7: Short wave infrared
7. metadata image indicating the date of image acquisition for pixel (band 1: year, band 2: month, 3: day)

Mosaics have been produced by Blom Kartta Oy.

There are three mosaics:

• Target year 1985, consisting of images acquired during 2.6.1984 - 16.7.1987.
• Target year 1990, consisting of images acquired during 8.6.1988 - 23.8.1992.
• Target year 1995, consisting of images acquired during 25.6.1993 - 3.9.1997.

Mosaics were processed using following steps:

1. Cloud masking: Candidate for cloud mask was acquired using quality mask of the image (USGS images) or thresholding band 1 (ESA images) and this candidate was checked and corrected visually by comparing to image.
2. Check of image geometry: Geometric check was done by comparing images to Topographic database of Finnish National Land Survey, IMAGE 2000 -mosaic or Href-mosaic of different year. There were couple of images which needed manual geometric correction.
3. Computation of ground reflectance: Pixel values were transformed to Top-of-Atmosphere reflectance first and then to the ground reflectance using Dark-Object-Subtraction -method with clear lakes as dark objects.
4. Haze correction: Method utilizing Virtual Point Cloud-method based on Background Suppressed Haze Thickness Index (BSHTI)-image was implemented and used for haze correction of weakly hazy areas of images, if needed.
5. Mosaicking: The order of images in mosaicking process was determined manually. Also, metadata image was produced which indicates from which image the value of pixel has been acquired. The mosaics are in TM35Fin coordinate system (EPSG 3067) with 30 m pixel size.

The bandwise mosaics are available from the WMS/WCS-service (https://data.nsdc.fmi.fi/geoserver/wms?request=GetCapabilities) of National Satellite Data Centre, managed by Finnish Meteorological Institute. They are named as PTA:lsm_sr_b*, where * is the band number (1: blue, 2: green, 3: red, 4: NIR, 5: SWIR, 7: SWIR).

Mosaics are also downloadable from S3-bucket archive of Finnish National Satellite Data Centre.

• Individual bands using URL http://pta.data.lit.fmi.fi/lans/lsm_sr_bx/lsm_19yy0715_sr_bx.tif where x is band number 1, 2, 3, 4, 5 or 7 and yy year 85, 90 or 95.
• False color mosaics using URL http://pta.data.lit.fmi.fi/lans/href/fc/pta_sjp_href_19yy_rgb_fc.tif where yy is year 85, 90 or 95.
• Metadata image using URL http://pta.data.lit.fmi.fi/lans/href/meta/pta_sjp_href_19yy_imaging_day.tif where yy is year 85, 90 or 95.

Mosaics are also available from SYKE's WMS-service https://geoserver2.ymparisto.fi/geoserver/eo_hr_land/wms, WMS-layer: eo_hr_land:EO_HR_LAND_TM_[year]_b123457, where year is 1985, 1990 or 1995.

These Href-mosaics are produced as part of sub program “Distribution and Processing of Satellite Imagery” of "Geospatial Platform of Finnish Public Administration"-program (2017-2019). The license is Creative Commons Nimeä 4.0 Kansainvälinen https://www.syke.fi/fi/ymparistotieto/kayttolupa-ja-vastuut

Historialliset Landsat-kuvamosaiikit Href on tuotettu Landsat-4 ja -5 satelliittien Thematic Mapper-instrumenttien ottamista kuvista. Kuvat on ladattu USGS:n ESA:n arkistoista. Mosaiikin pikselin arvo on maanpinnan heijastussuhteen (reflektanssi) estimaatti, kerrottuna kertoimela 10000. Mosaiikeissa on seitsemän kanavaa:

1. TM kanava 1: Sinisen aallonpituuden heijastussuhde
2. TM kanava 2: Vihreä
3. TM kanava 3: Punainen
4. TM kanava 4: Lähi-infrapuna
5. TM kanava 5: Keski-infrapuna
6. TM kanava 7: Keski-infrapuna
7. Metadatakuva, pikseli arvo on pikselin kuvausajankohta (kanava 1: vuosi, 2: kuukausi, 3: päivä). Kuvamosaiikit on tuottanut Blom Kartta Oy.

Mosaiikit on tuotettu kolmelta eri ajanjaksolta:

• Tavoitevuosi 1985, kuvat on otettu ajanjaksolla 2.6.1984 - 16.7.1987.
• Tavoitevuosi 1990, kuvat on otettu ajanjaksolla 8.6.1988 - 23.8.1992.
• Tavoitevuosi 1995, kuvat on otettu ajanjaksolla 25.6.1993 - 3.9.1997.

Kuvamosaiikkien tuotannossa on ollut seuraavat vaiheet:

1. Pilvimaskaus: Pilvimaskin ehdokas on tuotettu käyttämällä kuvan laatumaskia (USGS:n kuvat) tai kynnystämällä kanava 1 (ESA:n kuvat) ja tämä ehdokas on tarkistettu ja visuaalisesti korjattu vertaamalla alkuperäiseen satelliittikuvaan.
2. Kuvan sijaintitarkkuuden tarkistus: Satelliittikuvia on verrattu Maanmittauslaitoksen maastotietokantaan, IMAGE2000-kuvamosaiikkiin tai toisen vuoden Href-kuvamosaiikkiin. Muutaman kuvan oikaisu on korjattu manuaalisesti.
3. Maanpinnan heijastussuhteen laskenta: Pikselien arvot on ensinnä muunnettu T

A set of three estimates of land-cover types and annual transformations of land use are provided on a global 0.5 x0.5 degree lat/lon grid at annual time steps. The longest of the three estimates spans 1770-2010. The dataset presented here takes into account land-cover change due to four major land-use/management activities: (1) cropland expansion and abandonment, (2) pastureland expansion and abandonment, (3) urbanization, and (4) secondary forest regrowth due to wood harvest. Due to uncertainties associated with estimating historical agricultural (crops and pastures) land use, the study uses three widely accepted global reconstruction of cropland and pastureland in combination with common wood harvest and urban land data set to provide three distinct estimates of historical land-cover change and underlying land-use conversions. Hence, these distinct historical reconstructions offer a wide range of plausible regional estimates of uncertainty and extent to which different ecosystem have undergone changes. The three estimates use a consistent methodology, and start with a common land-cover map during pre-industrial conditions (year 1765), taking different courses as determined by the land-use/management datasets (cropland, pastureland, urbanization and wood harvest) to attain forest area distributions close to satellite estimates of forests for contemporary period. The satellite based estimates of forest area are based on MODIS sensor. All data uses the WGS84 spatial coordinate system for mapping.

Google Earth Aerial Image of Alder Creek restoration project and surrounding areas. Surrounding areas are included to provide relative changes to the industrialized areas and ease of using a slider tool.

The cloud-corrected NDVI data extracted from historical MODIS satellite images at 250 metre resolution provides reliable, objective, and timely information on the state of vegetation throughout Canada and the northern United States. The methodology applied to the images has remained the same as for the program formerly known as the Crop Condition Assessment Program (CCAP). Since the 2000 growing season, Statistics Canada has been processing and compiling MODerate-resolution Imaging Spectoradiometer (MODIS) data (250 metre resolution). The Multi-Spectral Instrument (MSI) captures two spectral bands (red and infrared) that have proven to be extremely useful to produce the Normalized Difference Vegetation Index (NDVI) utilized for vegetation monitoring. The original NDVI image composites were produced by Agriculture and Agri-Food Canada (link to original data in the resources section). Additional computations were completed by Statistics Canada to remove the effects of residual clouds and to calculate and extract the NDVI by geographic region. This dataset provides access to the MODIS images from 2000 to present in GeoTIFF format and covers the crop area during the growing season (Julian weeks 15 to 37; mid-April to mid-September). It also provides access to a database that contains the statistical NDVI by geographic regions (Townships, Census Consolidated Subdivisions (CCS), Census Divisions (CD) and Census Agricultural Regions (CAR)) and agricultural masks (Agriculture (AGR), Crop (CROP) and Pasture (PAS)).