Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index

Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index

The correction of spatial scaling bias on the estimate of leaf area index (LAI) retrieved from remotely sensed data is an essential issue in quantitative remote sensing for vegetation monitoring. We analyzed three techniques, including Taylor’s theorem (TT), Wavelet-Fractal technique (WF), and Fract...

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Bibliographic Details
Main Authors: Jiale Jiang, Xusheng Ji, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao, Tao Cheng
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
scaling effect correction
spatial heterogeneity
non-linearity
leaf area index
comparative analysis
transform model
Online Access:http://www.mdpi.com/2072-4292/10/2/221

Internet

http://www.mdpi.com/2072-4292/10/2/221

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