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NASA's Earth Observing Fleet (including Landsat 8). With Landsat 5 retiring in early 2013, leaving Landsat 7 as the only on-orbit Landsat program satellite, Landsat 8 ensures the continued acquisition and availability of Landsat data utilizing a two-sensor payload, the Operational Land Imager (OLI) and the Thermal InfraRed Sensor (TIRS).
The Multispectral Scanner (MSS) is one of the Earth's observing sensors introduced in the Landsat program. A Multispectral Scanner was placed aboard each of the first five Landsat satellites. [1] The scanner was designed at Hughes Aerospace by Virginia Norwood. Her design called for a six band scanner, but the first one launched had only four ...
In the future, there may also be more collaboration between Landsat satellites and other satellites with similar spatial and spectral resolution, such as the ESA's Sentinel-2 constellation. [35] Landsat Next is planned to launch in late 2030/early 2031 and will measure 26 spectral bands; current Landsat's 8 and 9 measure 11 each. [36]
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.
Follow on to Landsat-7 with improved imager OLI and thermal sensor TIRS. 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 ...
Current Landsat collection is that of seven bands, including several in the infrared spectrum, ranging from a spectral resolution of 0.7 to 2.1 μm. The Hyperion sensor on Earth Observing-1 resolves 220 bands from 0.4 to 2.5 μm, with a spectral resolution of 0.10 to 0.11 μm per band. Radiometric resolution
In 1976, the Tasseled Cap Index was published by R.J. Kauth and G.S. Thomas.It was generated on the basis of spectral information from the Landsat satellite. The Tasseled Cap coefficients used in the linear equation of the Tasseled Cap transformation are sensor specific and therefore, were derived for each sensor system.
The spectral vision allows identification of rock attributes for surficial mapping. [3] The resolution however controls the accuracy. There is a trade-off between spatial resolution and spectral resolution. [7] Since the intensity of incident ray is fixed, for a higher spectral resolution, it is expected to have a lower spatial resolution (one ...