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Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression

LI Cun-jun WANG Ji-hua WANG Qian WANG Da-cheng SONG Xiao-yu WANG Yan HUANG Wen-jiang

农业科学学报（英文版）2012，Vol.11Issue(9)：1445-1452,8.

Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression

LI Cun-jun ¹WANG Ji-hua ²WANG Qian ¹WANG Da-cheng ²SONG Xiao-yu ³WANG Yan ³HUANG Wen-jiang³

作者信息

1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R.China
2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, P.R.China
3. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R.China
折叠

摘要

关键词

grain protein content/agronomic parameters/multi-temporal/Landsat/partial least squares regression

Key words

grain protein content/agronomic parameters/multi-temporal/Landsat/partial least squares regression

引用本文复制引用

LI Cun-jun,WANG Ji-hua,WANG Qian,WANG Da-cheng,SONG Xiao-yu,WANG Yan,HUANG Wen-jiang..Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression[J].农业科学学报（英文版）,2012,11(9):1445-1452,8.

基金项目

The project was supported by the National Natural Science Foundation of China (41171281,40701120) and the Beijing Nova Program,China (2008B33). （41171281,40701120）

农业科学学报（英文版）

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ISSN：2095-3119

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