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Thermal bidirectional gap probability model for row crop canopies and validation

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Abstract

Based on the row structure model of Kimes and the mean gap probability model in single direction, we develop a bidirectional gap probability model for row crop canopies. A concept of overlap index is introduced in this model to consider the gaps and their correlation between the sun and view directions. Multiangular thermal emission data sets were measured in Shunyi, Beijing, and these data are used in model validation in this paper. By comparison with the Kimes model that does not consider the gap probability, and the model considering the gap in view direction only, it is found that our bidirectional gap probability model fits the field measurements over winter wheat much better.

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Authors and Affiliations

  1. Research Center for Remote Sensing and GIS, Department of Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, 100875, Beijing, China

    Guangjian Yan, Lingmei Jiang, Jindi Wang & Xiaowen Li

  2. LARSIS, Institute of Remote Sensing Application, Chinese Academy of Sciences, 100101, Beijing, China

    Liangfu Chen

  3. Department of Geography and Center for Remote Sensing, Boston University, 02215, Boston, MA, USA

    Xiaowen Li

Authors
  1. Guangjian Yan
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  2. Lingmei Jiang
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  3. Jindi Wang
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  4. Liangfu Chen
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  5. Xiaowen Li
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Correspondence to Guangjian Yan.

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Yan, G., Jiang, L., Wang, J. et al. Thermal bidirectional gap probability model for row crop canopies and validation. Sci. China Ser. D-Earth Sci. 46, 1241–1249 (2003). https://doi.org/10.1007/BF02883250

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  • DOI: https://doi.org/10.1007/BF02883250

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