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基于TM和MODIS数据的水旱地冬小麦面积提取和长势监测
引用本文:冯美臣,杨武德,张东彦,曹亮亮,王慧芳,王 芊.基于TM和MODIS数据的水旱地冬小麦面积提取和长势监测[J].农业工程学报,2009,25(3):103-109.
作者姓名:冯美臣  杨武德  张东彦  曹亮亮  王慧芳  王 芊
作者单位:山西农业大学农学院,太谷,030801
基金项目:山西省科技攻关项目(2006031114);山西省气象局开放式研究基金项目(SX053001)
摘    要:采用Mahalanobis Distance分类法提取了冬小麦种植面积,通过搭建决策树结构进行了不同灌溉类型冬小麦种植面积的提取,通过两个年份不同生育时期MODIS-NDVI的比较,分析了NDVI时间曲线与冬小麦长势的响应规律和水旱地冬小麦年同期长势。结果表明:2007年临汾地区冬小麦总种植面积为234778.5 hm2,提取精度为96.96%,其中水地种植面积为107488.3 hm2,提取精度为86.15%,旱地冬小麦为127290.2 hm2,提取精度为86.16%。生育期内,水地冬小麦整体长势好于旱地冬小麦,通过NDVI变化斜率比较,表明随着生育期的推进,水地冬小麦NDVI达到峰值前的上升速度远大于旱地冬小麦,峰值后水地冬小麦NDVI下降速度小于旱地冬小麦。

关 键 词:遥感  监测  冬小麦  面积提取  长势  目视解译  决策树
收稿时间:6/2/2008 12:00:00 AM
修稿时间:2009/2/13 0:00:00

Monitoring planting area and growth situation of irrigation-land and dry-land winter wheat based on TM and MODIS data
Feng Meichen,Yang Wude,Zhang Dongyan,Cao Liangliang,Wang Huifang and Wang Qian.Monitoring planting area and growth situation of irrigation-land and dry-land winter wheat based on TM and MODIS data[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(3):103-109.
Authors:Feng Meichen  Yang Wude  Zhang Dongyan  Cao Liangliang  Wang Huifang and Wang Qian
Institution:Agronomy College;Shanxi Agricultural University;Taigu 030801;China
Abstract:In this study, Mahalanobis Distance classification was selected to extract the planting area of winter wheat. The planting area of winter wheat under different irrigation patterns was extracted through building decision tree structure. By contrasting of MODIS-NDVI at the different stages for two years, the NDVI temporal profiles and the response law of growth situation of winter wheat were analyzed. The results show that the total planting area of winter wheat was 234778.5 hm2 with a precision of 96.96%, the planting area of irrigation-land winter wheat was 142111.6 hm2 with a precision of 86.15%, and dry-land was 92666.8 hm2 with a precision of 86.16%. During the growth stage, the whole growth situation of irrigation-land winter wheat was better than dry-land wheat. By contrasting of the slope of the NDVI variation, it showed that along with the process of growth stage, the NDVI ascending velocity of irrigation-land winter wheat was higher than dry-land before the peak value, and the NDVI declining velocity was lower than dry-land after the peak value.
Keywords:remoting sensing  monitoring  winter wheat  area extraction  growth situation  visual interpretation  decision tree
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