ATTENTION
We have one aerial survey per decade for much of Hawaiʻi beginning with the early 1950s. Our primary sources include photographs issued by the United States Geological Survey (USGS), United States Department of Agriculture (USDA), and the National Oceanic and Atmospheric Administration (NOAA). Approximately 10,000 aerial prints, dating from 1950-2000, were lost in flood, and most were replaced in digital format; 500 additional image files were purchased from NOAA after the flood with Hawaiian Collection funding.
Click on image for interactive index map
Click on the image for an interactive index map.
Click on the image for an interactive index map.
MAGIS is in the process of digitizing, organizing, and creating access to its aerial photographs collection. Currently, we have roughly 8,000 digitized aerial photos, mostly USGS and US Navy aerials of Hawaiʻi and selected Pacific Islands dating from the 1920s to the 1980s. Click on the Pacific and Asia heading above to access the file server. Note, if flight line indexes are available, they usually file at the beginning or end of the directory.
Approximately 4,000-5,000 aerial prints, dating from 1920s-1980s. Prints were donated to MAGIS post-flood by the local USGS office. Two major components - Hawaii and Pacific Islands. The Hawaiʻi component includes a unique collection of USGS prints (Oahu only) from the 1920s. Some Hawaiʻi aerials have been digitized and are available through the index maps in the "Hawaiʻi" section. The Pacific Island component includes prints of Wallis, Marshalls, Ponape, Truk, Marianas, Yap, Palau, American Samoa, and the Solomons.
The Alele Museum and National Archives donated over a 2100 print and digital aerial photographs of the Marshall Islands from the 1940s, 1960s, and 1970s. MAGIS has digitized and made available online 271 print aerials primarily of Jaluit and Wotje Atolls. Approximately 2000 aerials that were digitized and donated by the Alele Museum are available online in PDF and cover the atolls of Ailinganae, Ailinglaplap, Ailuk, Arno, Bikar, Bikini, Ebon, Enewetok, Kwajalein, Lai, Likiep, Majuro, Maloelap, Mili, Namorik, Namu, Rongerik, Taka, Ujae, Ujelang, Utirik, Wotho, and Wotje.
"Near realtime 10m resolution global land use land cover dataset, produced using deep learning, freely available and openly licensed. It is the result of a partnership between Google and the World Resources Institute, to produce a dynamic dataset of the physical material on the surface of the Earth. Dynamic World is intended to be used as a data product for users to add custom rules with which to assign final class values, producing derivative land cover maps." -- Dynamic World
"Google Earth Engine is a cloud computing platform for processing satellite imagery and other geospatial and observation data. It provides access to a large database of satellite imagery and the computational power needed to analyze those images. Google Earth Engine allows observation of dynamic changes in agriculture, natural resources, and climate using geospatial data from the Landsat satellite program, which passes over the same places on the Earth every sixteen days. Google Earth Engine has become a platform that makes Landsat and Sentinel-2 data easily accessible to researchers in collaboration with the Google Cloud Storage. Google Earth Engine provides a data catalog along with computers for analysis; this allows scientists to collaborate using data, algorithms, and visualizations. The platform provides Python and JavaScript application programming interfaces for making requests to the servers, and includes a graphical user interface for developing applications." -- Wikipedia
Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data of the Earth's surface to a broad and varied user community, including agribusiness, global change researchers, academia, state and local governments, commercial users, national security agencies, the international community, decision-makers, and the general public.
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