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High-resolution satellite imagery (1 metre and less) has been available since 1999, [3] [4] but its use for North Korean studies did not emerge until 2012. [1] By 2004, researchers and NGOs had imaging and computing capabilities comparable to those available to the US government 20-30 years earlier, in the 1970s.
Some locations on free, publicly viewable satellite map services have such issues due to having been intentionally digitally obscured or blurred for various reasons of this. [1] For example, Westchester County, New York asked Google to blur potential terrorism targets (such as an amusement park, a beach, and parking lots) from its satellite ...
NASA Earth science satellite fleet as of September 2020, planned through 2023. Earth observation satellite missions developed by the ESA as of 2019. Earth observation satellites are Earth-orbiting spacecraft with sensors used to collect imagery and measurements of the surface of the earth. These satellites are used to monitor short-term weather ...
Needpix - library of more than 1.5 million free, or so-called Public Domain Photos and Illustrations licensed with CC0. PDPics.com – Public domain photo collection with about 7400 high resolution pictures up to 6000x4000. All images licensed under CC0 license. Smithsonian Institution – Open Access – 2.8 million Free Public Domain images ...
OpenStreetMap (abbreviated OSM) is a free, open map database updated and maintained by a community of volunteers via open collaboration. [4] Contributors collect data from surveys, trace from aerial photo imagery or satellite imagery, and import from other freely licensed geodata sources.
The TerraServer viewer allows users to select imagery from different dates and of different resolutions. While most of the TerraServer imagery is focused on high resolution, color, satellite and aerial imagery, TerraServer.com also offers Color Infrared Imagery, Panchromatic Imagery, Low Resolution Satellite Imagery, and topographic maps.
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The National Imagery Interpretability Rating Scale (NIIRS) is an American subjective scale used for rating the quality of imagery acquired from various types of imaging systems. The NIIRS defines different levels of image quality/interpretability based on the types of tasks an analyst can perform with images of a given NIIRS rating.