The Take-All of Wheat Diseases Feature Extraction Method Study Using Ground Spectral Measurement Data and TM Multispectral Data

Take-all of wheat took place in major wheat production area of He Nan Province, China. The gaeumannomyces graminis infected area has increased in recent years and become one of primary reasons for wheat output reduction. This research focused on take-all of wheat monitoring by remote sensing. According to the ground spectral measurement and feature of take-all infected samples and healthy sample as well as the corresponding pixels of remote sensing images, two methods for TM multispectral remote sensing data feature extraction of take-all of wheat were proposed in this paper. The monitoring of take-all of wheat can be used in evaluation of infected area, controlling of wheat seed from infected area, and also guidance for infected area soil remedy.