关键词: 冬小麦, CBERS-02影像, 长势分级

Abstract:

Application of remote sensing information technology could real-time monitor and predict winter wheat growth by grading, so as to help the agriculture sector to develop and implement appropriate management measures to achieve target production purposes. Taking Jiangyan City, Jiangsu Province as example, the studies on grading monitoring of winter wheat growth during jointing stage were conducted based on CBERS (CBERS-02) satellite remote sensing images. Through computer classification techniques and human-computer interactive interpretation, combining with GPS information check, the interpretation accuracy of winter wheat area is over 90%. Growth status of winter wheat in the whole region was monitored in grade by using remote sensing vegetation index (Ⅵ) and inversion of leaf area index (LAI). Compared with the growth information data of sample sites and areas, accuracy of the monitoring is more than 85%. A winter wheat growing region classified map was completed to analyze winter wheat growing status of each period. The result showed that CBERS image data could meet the needs of winter wheat growth monitoring, and be applied and extended in practical production.

Key words: winter wheat, image of CBERS-02, grading of growth vigor