Review of Remote Sensing Monitoring of Crop Pests and Diseases

doi:10.13474/j.cnki.11-2246.2018.0273

Abstract

Abstract:

Monitoring and early warning of pests and diseases in crops is an important direction in precision agriculture,which can effectively improve grain yield and quality.From the principle and technical route of monitoring crop pests and diseases with hyperspectral remote sensing,this paper first expounds four spectral feature extraction and transformation methods,including the derivative transformation and logarithmic transformation of original spectra,the characteristic parameters based on spectral position and area,the feature parameters of continuum removal,and the vegetation indexes.Then this paper discusses three inversion methods,including the statistical analysis,the machine learning and the physical model,by which the regression relationship between spectral reflectance and pest monitoring parameters is established.Finally this paper analyzes the advantages and problems of using hyperspectral remote sensing technology for crop pests and diseases monitoring.

Key words: remote sensing, hyperspectral, monitoring, crop, pests and diseases

CLC Number:

P237

JIAN Junfan, HE Hongchang, WANG Xiaofei, LI Yue. Review of Remote Sensing Monitoring of Crop Pests and Diseases[J]. 测绘通报, 2018, 0(9): 24-28.

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