Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4972924 | ISPRS Journal of Photogrammetry and Remote Sensing | 2017 | 15 Pages |
Abstract
Our results demonstrated that WREP obtained the best estimation accuracy for both LCC and CCC as compared to traditional techniques. High scales of wavelet decomposition were favorable for the estimation of CCC and low scales for the estimation of LCC. The difference in optimal scale reveals the underlying mechanism of signature transfer from leaf to canopy levels. In addition, crop-specific models were required for the estimation of CCC over the full range. However, a common model could be built with the REPs extracted with Scale 5 of the WREP technique for wheat and rice crops when CCC was less than 2Â g/m2 (R2Â =Â 0.73, RMSEÂ =Â 0.26Â g/m2). This insensitivity of WREP to crop type indicates the potential for aerial mapping of chlorophyll content between growth seasons of cereal crops. The new REP extraction technique provides us a new insight for understanding the spectral changes in the red edge region in response to chlorophyll variation from leaf to canopy levels.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Dong Li, Tao Cheng, Kai Zhou, Hengbiao Zheng, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao,