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遥感技术与应用  2008, Vol. 23 Issue (1): 36-41    DOI: 10.11873/j.issn.1004-0323.2008.1.36
研究与应用     
仪征地区农田深层土壤湿度遥感反演初探
魏国栓,沈润平,丁国香
(南京信息工程大学遥感学院,江苏南京 210044)
Primary Studies on Estimating Soil Moisture in Deep Layer of Farmland by Remote Sensing in Yizheng
WEI Guo-shuan,SHEN Run-ping,DING Guo-xiang
(School of Remote Sensing,Nangjing University Information Sciences
and Technology,Nanjing210044,China)
 全文: PDF(1558 KB)  
摘要:

利用MODIS合成产品数据MOD11A2和MOD13A2获取的陆地表面温度(Ts)和归一化植被指数(NDVI)构建Ts/NDVI特征空间,依据该特征空间计算温度植被干旱指数(TVDI),进而反演了仪征地区不同季节的40 cm土壤相对湿度。使用野外同步实测数据进行验证,结果显示,总体平均相对误差为11.83%,2004年11月误差最小,为4.30%。遥感反演的仪征地区土壤湿度分布图表明该地区存在两个土壤湿度高值区,分别位于仪征南部的长江冲积平原和西北部的谷底平原地带,并且土壤平均相对湿度越大,其高值区与低值区之间的差异越小。

关键词: 温度植被干旱指数MODIS产品数据土壤湿度地表温度/归一化植被指数    
Abstract:

8-day composite MODIS temperature product MOD11A2 and 16-day composite MODIS NDVI product MOD13A2 were combined to construct Ts/NDVI space and the TVDI(Temperature Vegetation Dryness Index) was obtained.Every 16-day soil moisture in 40cm depth in different seasons in Yizheng was retrieved by TVDI.When compared with the soil moisture in 40cm depth measured simultaneously with satellite in the field,the mean error was 11.83% and minimum error reached 4.30%.The soil moisture distribution map shows that there were two high-value soil moisture areas,located in the Yangtze River alluvial plains in the southern part of Yizheng and the corner plains in the northwest part of Yizheng.The greater of the mean soil moisture is,the smaller of the difference between its high value and low value in the region .

Key words: TVDI    MODIS product data    Soil moisture    Ts/NDVI
收稿日期: 2007-08-01 出版日期: 2011-10-24
:  TP 79  
基金资助:

国家重点基础研究发展计划(973计划)(2005CB121108)和江苏省“青蓝工程”资助。

通讯作者: 沈润平(1963-),男,教授,博士生导师,研究方向为土地利用遥感与监测、图像处理、土壤过程建模与参数遥感、土壤资源与生态管理。E-mail: rpshen@nuist.edu.cn。     E-mail: robins_wei@126.com。
作者简介: 魏国栓(1981-)男,硕士研究生,研究方向为陆面过程遥感与建模。E-mail: robins_wei@126.com。
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引用本文:

魏国栓,沈润平,丁国香. 仪征地区农田深层土壤湿度遥感反演初探[J]. 遥感技术与应用, 2008, 23(1): 36-41.

WEI Guo-shuan,SHEN Run-ping,DING Guo-xiang. Primary Studies on Estimating Soil Moisture in Deep Layer of Farmland by Remote Sensing in Yizheng. Remote Sensing Technology and Application, 2008, 23(1): 36-41.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2008.1.36        http://www.rsta.ac.cn/CN/Y2008/V23/I1/36

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