关于CBERS遥感的冬小麦长势分级监测.pdf

, 2010, 12( 3) : 79- 83 Journal of Agricu ltural Science and Technology CBER S 1 1, 2 2 李 卫国, 李正金 , 杨 澄 ( 1. , 21001 ; 2. , 2100 ) : , , , , ( CBERS02) , GPS, 90% ( LAI), , 85% , , , , : ; CBERS02; doi: 10. 3969/ .j issn. 1008086 . 2010. 03. 1 : TP79 : A : 1008086 ( 2010) G rading M on itoring of W in ter W heat G row th Condition by CBER S Satellite Im age 1 1, 2 2 LIW eiguo, LI Zhengjin , YANG Cheng ( 1. Institute ofResource and Environm ent, Jiangsu Academ y ofAgricultural Sciences, Nanjing 21001 ; 2. School of AppliedM eteorological Science, Najing University of Information Science Technology, Nanj ing 2100 , China) A bstrac t: Application of remote sensing inform ation technology cou ld realtmi e m on itor and predict w inter w heat grow th by grad ing, so as to help the agricu lture sector to develop and mi p lement appropriate managem ent m easures to achieve target production purposes. Tak ing Jiangyan C ity, Jiangsu Province as examp le, the stud ies on grad ing mon i toring of w inter w heat grow th during jointing stage w ere conducted based on CBERS ( CBERS02) satellite rem ote sensing mi ages. Through computer classification techn iques and hum ancom puter interactive interpretation, comb in ing w ith GPS inform ation check, the interpretation accuracy of w interw heat area is over 90% . Grow th status of w inter wheat in thew hole regionw as mon itored in grade by using rem ote sensing vegetation index ( ) and inversion of leaf area index ( LA I) . Com paredw ith the g