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Landsat 8 is an American Earth observation satellite launched on 11 February 2013. It is the eighth satellite in the Landsat program; the seventh to reach orbit successfully. . Originally called the Landsat Data Continuity Mission (LDCM), it is a collaboration between NASA and the United States Geological Survey (USG
The Operational Land Imager (OLI) is a remote sensing instrument aboard Landsat 8, built by Ball Aerospace & Technologies. Landsat 8 is the successor to Landsat 7 and was launched on February 11, 2013. [1] OLI is a push broom scanner that uses a four-mirror telescope with fixed mirrors.
Interview with Jim Irons – Landsat 8 Project Scientist – NASA Goddard Space Flight Center. In 1965, William T. Pecora, the then director of the United States Geological Survey, proposed the idea of a remote sensing satellite program to gather facts about the natural resources of our planet. Pecora stated that the program was "conceived in ...
Landsat-9: Active NASA and USGS 2021 Follow on to Landsat-8 with OLI sensor and thermal sensor TIRS-2. Landsat-9 will extend the Landsat program to maintain the time series of these type of data. Megha-Tropiques: Active CNES and ISRO: 2011 Meteor-M No. 1 and 2: Active Roscosmos: 2009 Meteosat 8: Active EUMETSAT: 2002 Also known as MSG 1. MetOp ...
With the launch of the first ERTS satellite – which was soon to be renamed Landsat 1 – on July 23, 1972 with its MultiSpectral Scanner (MSS) NASA funded a number of investigations to determine its capabilities for Earth remote sensing.
Landsat Program: Landsat 5-8 Operational Land Imager (OLI) [5] Developed by Ball Aerospace & Technologies Corporation, the OLI is a crucial aspect of modern LandSat vehicles. Using 7000 sensors per band (Spectrum band), the OLI on NASA's most recent LandSat (LANDSAT 8) Satellite, will image/view the entire earth every 16 days.
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation. The term is applied especially to acquiring information about Earth and other planets .
There are five types of resolution when discussing satellite imagery in remote sensing: spatial, spectral, temporal, radiometric and geometric. Campbell (2002) [ 6 ] defines these as follows: Spatial resolution is defined as the pixel size of an image representing the size of the surface area (i.e. m 2 ) being measured on the ground, determined ...