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Remote Sensing Technology and Application  2008, Vol. 23 Issue (1): 36-41    DOI: 10.11873/j.issn.1004-0323.2008.1.36
article     
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)
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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     
Received:  01 August 2007      Published:  24 October 2011
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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.

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

[1] Wang P X,Gong J Y,Li X W.Vegetation-Temperature Condition Index and Its Application for Drought MonitoringJ].Editorial Board of Geomatics and Information Science of Wuhan University,2001,26(5):412-418.[王鹏新,龚健雅,李小文.条件植被温度指数及其在干早监测中的应用[J].武汉大学学报(信息科学版),2001,26(5):412-418.]
[2] Pohn H A,Offield T W,Watson K .Thermal Inertia Mapping from Satellites Discrimination of Geologic Units in Oman[J].Journal of Research of US Geological Survey,1974,2(2):147-158.
[3] Watson K,Rowen L C,Offield T W.Application of Thermal Modeling in the Geologic Interpretation of IR Images
[J].Remote Sensing of Environment,1971,3:2017-2041.
[4] Price J C.Using Spatial Context in Satellite Data to Infer Regional Scale Evapotranspiration
[J]. IEEE Transactions on Geoscience and Remote Sensing,1990,28:940-948.
[5] Goward S N ,Xue Y ,Czajkowski K P.Evaluating Land Surface Moisture Conditions from the Remotely Sensed Temperature/Vegetation Index Measurements: An Exploration with the Simplified Simple Biosphere Model
[J].Remote Sensing of Environment,2002,79(2-3):225-242.
[6] Sandholt L,Rasmussen K ,Andersen J.A Simple Interpretation of the Surface Temperature/Vegetation Index Space for Assessment of Surface Moisture Status[J].Remote Sensing of Environment,2002,79:213-224.
[7] Xiao Q G,Chen W Y,Sheng Y W,et al.A Study on Soil Moisture Monitoring Using NOAA Satellite[J]. Quarterly Journal of Applied Meteorology,1994,5(2):312-317.[肖乾广,陈维英,盛永伟,等.用气象卫星监测土壤水分的试验研究[J].应用气象学报,1994,5(2):312-317.]
[8] Tian G L,Yang X H,Zheng K.Remote Sensing Model for Wheat Drought Monitoring[J].Journal of Remote Sensing,1992,7(2):83-90.[田国良,杨希华,郑柯.冬小麦旱情遥感监测模型研究[J].遥感学报,1992,7(2):83-90.]
[9] Zhang R H. Improved Thermal Inertia Model and Remote Sensing of Soil Moisture.[J].Geographical Research,1990,9(2):101-112.[张仁华.改进的热惯量模式及遥感土壤水分[J].地理研究,1990,9(2):101-112.]
[10] Sui H Z,Tian G L,Li F Q.Two-layer Model for Monitoring Drought Using Remote Sensing[J].Journal of Remote Sensing,1997,1(3):220-224.[隋洪智,田国良,李付琴.农田蒸散双层模型及其在干旱遥感监测中的应用[J].遥感学报,1997,1(3):220-224.]
[11] Liu L Y,Zhang B,Zheng L F.Target Classification and Soil Water Content Regression Using Land Surface Temperature (LST) and Vegetation Index(VI)[J].Journal of Infrared and Millimeter Waves,2002,21(4):269-273. [刘良云,张兵,郑兰芬.利用温度和植被指数进行地物分类和土壤水分反演[J].红外与毫米波学报,2002,21(4):269-273.]
[12] Xin J F.The Research of Regional Drought Monitoring with Remote Sensing[R].Report on the Work of Post-Doctoral Research,Institute of Remote Sensing Applications,Chinese Academy of Sciences,2003.[辛景峰.区域旱情遥感监测研究[R].中科院遥感应用研究所博士后研究工作报告,2003.]
[13] Liu Y H,Xin J F,Xin X Z,et al.Monitoring Agricultural Drought by Vegetation Index and Remotely Sensed Temperature[J].Science and Technology Review,2007,25(6):12-18.[柳钦火,辛景峰,辛晓洲,等.基于地表温度和植被指数的农业干旱遥感监测方法[J].科技导报,2007,25(6):12-18.]
[14] Ma Y X.A Study on Growing Dynamic of Wheat Root System Various Soils[J].Acta Agronomica Sinica,1987,3(1):37-44.[马元喜.不同土壤对小麦根系生长动态的研究[J].作物学报,1987,3(1):37-44.]
[15] Deng H,Zhou Q B.The Progress in Remote Sensing Method for Monitoring Soil Moisture[J].Journal of China Agricultural Resources and Regional Planning,2004,25(3):46-49.[邓辉,周清波.土壤水分遥感监测方法进展[J].中国农业资源与区划,2004,25(3):46-49.]
[16] Deng M T,Wang B Z.Determination of Moisture Content[M].Beijing:Advanced Education Press,1992.[邓明弢,王宝珠.水分测定法[M].北京:高等教育出版社,1992.]
[17] Liu Z,Ling F,Zhang Q W.MODIS Remote Sensing Data Processing and Acquisition of Atmosphere Products [J].Remote Sensing Information,2005,2:52-57.[刘忠,凌峰,张秋文.MODIS遥感数据产品处理流程与大气数据获取[J].遥感信息,2005,2:52-57.]
[18] Wan Z M.MODIS Land-Surface Temperature Algorithm Theoretical Basis Document(LST ATBD) Version3.3[R].NASA Contact Number:NAS 5-31370,April 1999.
[19] Chen Q. Models for Rice Yield Estimation Using Remote Sensing Data of MOD13 [J].Transactions of the Chinese Society of Agricultural Engineering,2006,22(3):79-83.[程乾.基于MOD13产品水稻遥感估产模型研究[J].农业工程学报,2006,22(3):79-83.]
[20] Yao C S,Zhang Z X,Wang X.Evaluating Soil Moisture Status in Xinjiang Using the Temperature Vegetation Dryness Index(TVDI)[J]. Remote Sensing Technology and Application,2004,19(6):473-478.[姚春生,张增祥,汪潇.使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J].遥感技术与应用,2004,19(6):473-478.]
[21] Qiang J H,Zhao P X,Chen G L.A Study on Remote Monitoring of the Growth Status Natural Forests of Chinese Pine Based on the NDVI[J].Journal of Northwest Forestry University,2007,22(1):149-151.[强建华,赵鹏祥,陈国领.基于NDVI的油松天然林生长状况的遥感监测研究[J].西北林学院学报,2007,22(1):149-151.]
[22] Tang Y,Liu L Y,Huang W J,et al.Analysis on the Influence of Soil Backgrounds on Canopy NDVI [J].Remote SensingTechnology and Application,2006,21(2):142-148.[唐怡,刘良云,黄文江,等.土壤背景对冠层NDVI的影响分析[J].遥感技术与应用,2006,21(2):142-148.]

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