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基于多源数据的水稻种植面积提取

陈树辉 李杨 曾凡君 薛春燕 刘翔

安徽农业科学2011,Vol.39Issue(12):7442-7444,3.
安徽农业科学2011,Vol.39Issue(12):7442-7444,3.

基于多源数据的水稻种植面积提取

Extraction of Paddy Planting Area Based on Multi-source Remote Sensing Data

陈树辉 1李杨 2曾凡君 1薛春燕 2刘翔2

作者信息

  • 1. 北京东方泰坦科技股份有限公司,北京100083
  • 2. 南京林业大学森林资源与环境学院,江苏南京210037
  • 折叠

摘要

Abstract

Introducing analysis method of paddy extraction in critical growth period and variation vectors, with paddy in Haian County of Jiangsu Province as the study subject, taking MODIS data and environment small satellite data as main data source, the law of paddy phenophase period in 2009 was analyzed, and based on these, some appropriate medium resolution data were selected to carry out change vector analysis.The results showed that the method can effectively reflect the change law of paddy pixel, and choosing the time phase based on the analysis of critical phenophase is able to improve the accuracy of extracting the planting area of rice.

关键词

水稻面积/遥感/物候关键期/耕地地块/变化检测/TITAN Image

Key words

Paddy area/Remote sensing/ Critical phonology/ Cultivated land data/ Change detection/ TITAN Image

分类

农业科技

引用本文复制引用

陈树辉,李杨,曾凡君,薛春燕,刘翔..基于多源数据的水稻种植面积提取[J].安徽农业科学,2011,39(12):7442-7444,3.

基金项目

国家"863"计划地球观测与导航技术领域国家统计遥感业务系统关键技术研究与应用专题项目(2006AA120107). (2006AA120107)

安徽农业科学

0517-6611

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