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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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