Applicability of linear regression equation for prediction of chlorophyll content in rice leaves

Yunmei Li

doi:10.1117/12.613208

1 September 2005 Applicability of linear regression equation for prediction of chlorophyll content in rice leaves

Yunmei Li

Proceedings Volume 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II; 58840J (2005) https://doi.org/10.1117/12.613208
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

A modeling approach is used to assess the applicability of the derived equations which are capable to predict chlorophyll content of rice leaves at a given view direction. Two radiative transfer models, including PROSPECT model operated at leaf level and FCR model operated at canopy level, are used in the study. The study is consisted of three steps: (1) Simulation of bidirectional reflectance from canopy with different leaf chlorophyll contents, leaf-area-index (LAI) and under storey configurations; (2) Establishment of prediction relations of chlorophyll content by stepwise regression; and (3) Assessment of the applicability of these relations. The result shows that the accuracy of prediction is affected by different under storey configurations and, however, the accuracy tends to be greatly improved with increase of LAI.

Citation Download Citation

Yunmei Li "Applicability of linear regression equation for prediction of chlorophyll content in rice leaves", Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58840J (1 September 2005); https://doi.org/10.1117/12.613208

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