Review on crop canopy spectral analysis and retrieval

doi:10.13474/j.cnki.11-2246.2019.0277

Abstract

Abstract: The crop canopy spectral reflectance has a strong correlation with the biological and physical parameters of crops such as the leaf nitrogen content, the chlorophyll content and the leaf area index. The biological and physical parameters can be retrieved by crop canopy spectral analysis, and applied to the field of growth analysis, yield prediction, pest and disease warning and so on. Firstly, three kinds of canopy reflectance acquisition methods based on ground, airborne and space-borne spectral meters are expounded separately, whose advantages and disadvantages are compared. Secondly, the principle of vegetation index construction is given, and the complexity and performance of physical model based retrieval and statistical retrieval methods are analyzed. Finally, the future and challenges of crop canopy spectral analysis and retrieval are suggested.

Key words: canopy spectral analysis, biological and physical parameters retrieval, vegetation index, machine learning, canopy reflectance physical model

CLC Number:

P237

LI Yue, HE Hongchang, WANG Xiaofei, ZHANG Guomin. Review on crop canopy spectral analysis and retrieval[J]. 测绘通报, 2019, 0(9): 13-17.

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