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Land Surface Temperature (LST) Retrieval from GOES Satellite Observations

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Satellite-based Applications on Climate Change

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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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Authors and Affiliations

  1. Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, 22030, USA

    Donglian Sun

  2. NOAA/NESDIS/STAR, College Park, MD, 20740, USA

    Yunyue Yu

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  1. Donglian Sun
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  2. Yunyue Yu
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Editors and Affiliations

  1. , Environmental Science and Technology, George Mason University, Fairfax, 22030, USA

    John Qu

  2. Administration, NOAA/NESDIS, Center for Satellite Application and Res, National Oceanic & Atmospheric, Auth Road 5200, Camp Springs, 20746, Maryland, USA

    Alfred Powell

  3. , Climate and Water Programme, World Meteorological Organization, 7bis, Avenue de la Paix, Geneva, 1211, Switzerland

    M.V.K. Sivakumar

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Sun, D., Yu, Y. (2013). Land Surface Temperature (LST) Retrieval from GOES Satellite Observations. In: Qu, J., Powell, A., Sivakumar, M. (eds) Satellite-based Applications on Climate Change. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5872-8_19

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