A general method of spatial scaling for leaf area index

Tong Li; Hua Wu; Boqin Zhu; Li Ni

doi:10.1117/12.816193

24 November 2008 A general method of spatial scaling for leaf area index

Tong Li, Hua Wu, Boqin Zhu, Li Ni

Proceedings Volume 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China; 71230W (2008) https://doi.org/10.1117/12.816193
Event: Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 2007, Beijing, China

Abstract

Leaf area index, which is the most basic biophysical parameter in the description of vegetation canopy structure, has become an important input parameter in land surface process. Along with the intensive study of LAI retrieval in remote sensing, the scale effect problem related to LAI has attracted more and more attention and has become a focus in quantitative study of remote sensing. Based on the mechanism analysis of scaling effects, the scale effect of LAI is discussed. Then, the relevant scaling model is proposed under the hypothesis of a normal distribution of surface observations. The result shows that the relative error for LAI retrieval is less than 1%. So, it validates the reliability of this model in one aspect.

Citation Download Citation

Tong Li, Hua Wu, Boqin Zhu, and Li Ni "A general method of spatial scaling for leaf area index", Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 71230W (24 November 2008); https://doi.org/10.1117/12.816193

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KEYWORDS

Remote sensing

Data modeling

Statistical analysis

Error analysis

Mathematical modeling

Reliability

Vegetation

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