ÃÞ »¨ ѧ ±¨   Cotton Science  2005£¬17(6)£º371-375

 

Research of Crop Canopy Characteristic Information by Using Hyperspectral Remote Sensing Dataª¤
QI Ya-qin1£¬WANG Deng-wei1£¬CHEN Guan-wen2£¬HUANG Chun-yan1£¬DUAN Zhen-yu2£¬CHEN Yan1£¬YUAN Jie1£¬YANG Kun1
(1. The oasis key laboratory of ecological agriculture of Xinjiang£¬Shihezi 832003 China;
2. Xinjiang Academy of Agricultural Sciences£¬Shihezi
832000£¬China) ª¤ª¤

Abstract£ºThe remote sensing of the hyperspectral means the resolution ratio of the spectrum is in the remote sensing information of 0.01£¬its characteristic is that a resolution ratio of spectrum is high (5-10nm )£¬wave band continuity is strong (There are hundreds of wave bands inª©0.4-2.5 ¦Ìm range). Hyperspectral remote sensing device can measure spectrum characteristic£¬goal of thing also£¬to goal formation of image (call formation of image spectrum remote sensing too sometimes)£¬so£¬it can not merely be used for improving the recognition capability to the crops and vegetation type£¬and the physics and chemistry characteristic that can also be used for monitoring the growing situation of the crops and performing the crops instead .The green plants possess the characteristics of unique spectrum curve£¬ and the crop possesses the characteristics of spectrum that the green plants are typical in the curve£¬on the basis of spectrum characteristic of the crop being the argument of research and its relation of biochemical characteristic of physiology£¬so the remote sensing data of hyperspectral are performing the biochemical characteristic of physiology of crops instead£¬draw crop preceded layers of information£¬assess and predict plant diseases and insect pests a lot of not to demonstrate enormous application potentiality. This text is to utilize high spectrum data to draw crop preceded layers of current situation to sum up the prospect of research of information£¬and the applicationprospect in the production of the cotton in Xinjiang.
Key words£ºremote sensing of hyperspectral£»extraction£»crop canopy characteristics
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