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Soil Moisture Active Passive (SMAP) Project Algorithm Theoretical Basis Document SMAP L1B Radiometer Data Product: L1B_TBThe purpose of the Soil Moisture Active Passive (SMAP) radiometer calibration algorithm is to convert Level 0 (L0) radiometer digital counts data into calibrated estimates of brightness temperatures referenced to the Earth's surface within the main beam. The algorithm theory in most respects is similar to what has been developed and implemented for decades for other satellite radiometers; however, SMAP includes two key features heretofore absent from most satellite borne radiometers: radio frequency interference (RFI) detection and mitigation, and measurement of the third and fourth Stokes parameters using digital correlation. The purpose of this document is to describe the SMAP radiometer and forward model, explain the SMAP calibration algorithm, including approximations, errors, and biases, provide all necessary equations for implementing the calibration algorithm and detail the RFI detection and mitigation process. Section 2 provides a summary of algorithm objectives and driving requirements. Section 3 is a description of the instrument and Section 4 covers the forward models, upon which the algorithm is based. Section 5 gives the retrieval algorithm and theory. Section 6 describes the orbit simulator, which implements the forward model and is the key for deriving antenna pattern correction coefficients and testing the overall algorithm.
Piepmeier, Jeffrey (NASA Goddard Space Flight Center Greenbelt, MD United States) Mohammed, Priscilla (Morgan State Univ. Baltimore, MD, United States) De Amici, Giovanni (NASA Goddard Space Flight Center Greenbelt, MD United States) Kim, Edward (NASA Goddard Space Flight Center Greenbelt, MD United States) Peng, Jinzheng (Morgan State Univ. Baltimore, MD, United States) Ruf, Christopher (Michigan Univ. Ann Arbor, MI, United States) Hanna, Maher (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States) Yueh, Simon (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States) Entekhabi, Dara (Massachusetts Inst. of Tech. Cambridge, MA, United States)
March 11, 2016
February 18, 2016
Meteorology And ClimatologyInstrumentation And Photography
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microwave radiometers calibratingalgorithms
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