摘要
利用MODIS-NDVI数据,以新疆棉花为例,探讨基于遥感影像全覆盖的大尺度农作物遥感综合自动识别及长势监测的技术方法。通过分析新疆地区棉花作物的种植结构、物候历特征及其生物学特性和时序NDVI曲线特征,确定棉花信息提取的NDVI阈值,建立棉花面积提取模型,并最终获取了2009年中国农情遥感监测中新疆棉花作物长势监测所需的作物空间分布数据。与多年平均统计数据比较,总体精度达到了78%以上。基于提取的棉花面积信息空间分布数据,利用MODIS-NDVI差值模型,对新疆棉花2009年的长势进行监测。结果表明,与近5 a平均状况对比,2009年新疆棉花在其整个生育期内长势基本与常年持平,但时空分布差异较大。
Large-scale crop type automatic identification methods were studied based on remote sensing images.The characteristics of NDVI time series of cotton in Xinjiang were analyzed,and then the threshold values of extracting planting area in different zones were set and the extraction models of planting area in different zones were established,and finally the spatial distribution of cotton of 2009 were obtained.Compared with years of average statistical data,the extraction accuracy is more than 78%.Secondly,we used NDVI difference model to monitor the cotton growth condition of Xinjiang in 2009,and compared it with the average cotton growth of last five years.The results showed that there were different characteristics in the spatio-temporal distribution.
出处
《干旱地区农业研究》
CSCD
北大核心
2011年第2期213-217,共5页
Agricultural Research in the Arid Areas
基金
国家自然科学基金项目(40930101
41001246)
"973"项目(2010CB951504)
国际科技合作项目(2010DFB10030)
中央级公益性科研院所专项资金
农业部资源遥感与数字农业重点开放实验室开放课题
农业部"全国农业遥感监测系统业务化运行"项目
关键词
MODIS数据
面积提取
中国农业遥感监测系统
长势监测
新疆
棉花
MODIS data
area extraction
China Agriculture Remote Sensing Monitoring System（CHARMS）
crop growth monitoring
Xinjiang
cotton
