Study on winter wheat yield estimation model based on NDVI and seedtime

被引：0
|
作者：
Liu, LY [1 ]
Wang, JH [1 ]
Song, XY [1 ]
Li, CJ [1 ]
Hang, WJ [1 ]
Zhao, CJ [1 ]
机构：
[1] Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China
来源：
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET | 2004年
关键词：
remote sensing; yield; multi-temporal; NDVI; seedtime;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The seedtime plays an important role on the growth, yield and quality of winter wheat. Firstly, the seedtime was successfully remotely sensed by NDVI derived from a LandSat TM image captured in elongation stage. Secondly, an optimized yield estimation model was designed based on NDVI and seedtime. and the optimized model was tested by 3 LandSat TM images captured in heading. grain filling and milking stapes.
引用
收藏
页码：4045 / 4047
页数：3
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