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关中西部灌区冬小麦遥感估产初探
引用本文:张智韬,李援农,陈俊英,刘昕.关中西部灌区冬小麦遥感估产初探[J].干旱地区农业研究,2005,23(5):187-190.
作者姓名:张智韬  李援农  陈俊英  刘昕
作者单位:西北农林科技大学水利与建筑工程学院,陕西,杨凌,712100;西北农林科技大学水利与建筑工程学院,陕西,杨凌,712100;漳州职业技术学院,福建,漳州,363000
基金项目:国家863计划“现代节水农业技术及新产品”专项(2002AA2Z4041)及“数字化渠系平台建设与精准灌溉管理决策应用”(2003AA209040)。
摘    要:根据冬小麦生长特点与产量的关系,认为小麦扬花期至灌浆期为最佳监测时期,利用遥感影像(TM)进行了绿度指数(GDVI)计算与分析,建立了GDVI与小麦产量的关系,完成了小麦估产。通过与实际产量进行比较,其估产精度可达88.90%以上。

关 键 词:遥感  估产  绿度指数  冬小麦
文章编号:1000-7601(2005)05-0187-04
收稿时间:2005-04-08
修稿时间:2005年4月8日

Application of remote sensing in estimating yield of winter wheat in west part of central Shaanxi
ZHANG Zhi-tao,LI Yuan-nong,CHEN Jun-ying,LIU Xin.Application of remote sensing in estimating yield of winter wheat in west part of central Shaanxi[J].Agricultural Research in the Arid Areas,2005,23(5):187-190.
Authors:ZHANG Zhi-tao  LI Yuan-nong  CHEN Jun-ying  LIU Xin
Abstract:According to the relationship between the growing characters and yield of winter wheat, it was determined that the best stage to monitor the yield by remote sensing was from blossom to filling. GDVI was derived and analyzed from the TM image, and the model was set up to express the relation between GDVI and yield of wheat, which was available to accomplish the estimation of yield. The results showed that the estimating precision was more than 88.90%.
Keywords:remote sensing  estimation of yield  GDVI
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