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2013 | OriginalPaper | Buchkapitel

19. Land Surface Temperature (LST) Retrieval from GOES Satellite Observations

verfasst von : Donglian Sun, Yunyue Yu

Erschienen in: Satellite-based Applications on Climate Change

Verlag: Springer Netherlands

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Abstract

This chapter includes recent advances on the retrieval of land surface temperature (LST) from satellite observations. Special attention has been paid to the LST retrieval from GOES satellites. Detailed introduction is given about the literature review, the existing problems and challenges, and the advantages of geostationary satellites and GOES instruments. Algorithm theoretical basis (both physical and mathematical) has been provided. The simulation test and error analysis are enclosed. The chapter gives a complete coverage on the LST retrieval from GOES observations, including the physical problem, mathematical description of the theoretical basis, forward model simulations, and algorithm coefficient derivation, validation against ground observations, and error estimate and analysis.

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Titel: Land Surface Temperature (LST) Retrieval from GOES Satellite Observations
verfasst von: Donglian Sun
Yunyue Yu
Verlag: Springer Netherlands
Buch: Satellite-based Applications on Climate Change
Print ISBN: 978-94-007-5871-1

Electronic ISBN: 978-94-007-5872-8

Copyright-Jahr: 2013
DOI: https://doi.org/10.1007/978-94-007-5872-8_19