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International Conference on Computational Science and Its Applications

ICCSA 2017: Computational Science and Its Applications – ICCSA 2017 pp 16–29Cite as

Calibration of the CLAIR Model by Using Landsat 8 Surface Reflectance Higher-Level Data and MODIS Leaf Area Index Products

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10407))

Abstract

This study proposes a method for the calibration of the semi-empirical CLAIR model, a simplified reflectance model used to estimate Leaf Area Index (LAI) from optical data. The procedure can be applied in case of lacking of both LAI field measurements and surface reflectance data by exploiting free of charge data as the novel high level Landsat 8 Operational Land Imager Surface Reflectance (OLISR) product and the MODIS LAI (MCD15A3H level 4 product). This last dataset was used as LAI reference within an iterative procedure based on the resampling, at the MODIS pixel size, of LAI estimated from OLISR data. The procedure generated LAI information consistent with the MCD15A3H LAI estimation. Lastly, the method was tested and statistically assessed in a territory characterized by an extremely heterogeneous and fragmented landscape (irrigation district “Sinistra Ofanto”) located in the Apulia Region (Italy).

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Author information

Authors and Affiliations

  1. Politecnico di Bari, via Orabona 7, 70125, Bari, Italy

    Giuseppe Peschechera, Antonio Novelli, Grazia Caradonna & Umberto Fratino

Authors
  1. Giuseppe Peschechera
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  2. Antonio Novelli
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  3. Grazia Caradonna
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  4. Umberto Fratino
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Corresponding author

Correspondence to Antonio Novelli .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Peschechera, G., Novelli, A., Caradonna, G., Fratino, U. (2017). Calibration of the CLAIR Model by Using Landsat 8 Surface Reflectance Higher-Level Data and MODIS Leaf Area Index Products. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10407. Springer, Cham. https://doi.org/10.1007/978-3-319-62401-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-62401-3_2

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  • Online ISBN: 978-3-319-62401-3

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