Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2008, Vol. 23 Issue (6): 624-628    DOI: 10.11873/j.issn.1004-0323.2008.6.624
    
Drought Remote Sensing Monitoring Based on the Surface Water Content Index(SWCI) Method
ZHANG Hong-wei1,2,3,CHEN Huai-liang1,SHEN Shuang-he3
ZHOU Guan-hui2,YU Wei-dong1
(1.Henan Institute of Meteorology,Zhengzhou 450003,China;2.Xinxiang Meteorological Bureau,Xinxiang 453000,China;3.Institute of Applied Meteorology ofNanjing University of Information Science and Technology,Nanjing 210044,China;)
Download:  PDF (880KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring,and the spectral interpretation of vegetation and soil are serious factors in the judgment of drought degree.Based on the spectral character of water,recently,a new model of Surface Water Content Index(SWCI) has been put forward,and the index is more sensitive to the surface water content,and suit for regional drought monitoring.The comparative analysis showed that SWCI is more sensitive than NDVI to monitoring surface soil water content,it is available in real-time soil drought monitoring.

Received:  23 June 2008      Published:  07 November 2011
TP 79  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

ZHANG Hong-wei,CHEN Huai-liang,SHEN Shuang-he. Drought Remote Sensing Monitoring Based on the Surface Water Content Index(SWCI) Method. Remote Sensing Technology and Application, 2008, 23(6): 624-628.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2008.6.624     OR     http://www.rsta.ac.cn/EN/Y2008/V23/I6/624

[1] Di L,Rundquist D C,Han L.Modeling Relationships Between NDBI and Precipitation During Growth Cycle[J].International Journal of Remote Sensing,1994,5(10):2121-2136.
[2] Kogan F N.Remote Sensing of Weather Impacts on Vegetation in Non-omogeneous Areas[J].International Journal of Remote Sensing,1990,11(8):1405-1419.
[3]    Liu W,Ferreira A.Monitoring Crop Production Regions in the Sao Paulo State of Brazil Using Normalized Difference Vegetation Index[C].Proc.24th.International Symposium on Remote Sensing of Environment,Rio de Janeiro, Brazil,1991,(2):447-455,27-31.
[4] Peters A J,Walter-Shea E A ,Lei J ,et al.Drought Monitoring with NDVI-based Standardized Vegetation Index [J].Photogrammetric Engineering and Remote Sensing,2002,65(1):71-75.
[5]     Unganai L S ,Kogan F N.Drought Monitoring and Corn Yield Estimation in Southern Africa from AVHRR Data[J].Remote Sensing of Environment,1998,63(3):219-232.
[6] Yang L,Wylie B K,Tieszen L L,et al.An Analysis of Relationships among Climate Forcing and Time-integrated NDVI of Grasslands over the U.S.Northern and Central Great Plains [J].Remote Sensing of Environment,1998.65(1):25-37.
[7] Nemani R,Price L,Running S,et al.Developing Satellite Derived Estimates of Surface Moisture Status[J].Journal of Applied Meteorology,1993,32(3):548-557.
[8] Carlson T N,Ripley D A.On the Relation Between NDVI,Fractional Vegetation Cover and Leaf Area Index[J].Remote Sensing of Environment,1997,62(3):241-252.
[9] Ceccato P,Gobron N,Flasse S,et al.Designing a Spectral Index to Estimate Vegetation Water Content from Remote Sensing Data:Part 1,Theoretical Approach[J].Remote Sensing of Environment,2002,82(2/3):188-197.
[10] Du X,Zhou Y,Wang S X,et al.Monitoring and Spatio Temporal Evolution Researching on Vegetation Leaf Water in China[C].International Geoscience and Remote Sensing Symposium(IGARSS),Anchorage,Alaska,USA,2004.
[11] Ceccato P,Flasse S,Gregoire J M.Designing a Spectral Index to Estimate Vegetation Water Content from Remote Sensing Data:Part 2.Validation and Applications[J].Remote Sensing of Environment,2002,82(2/3):198-207.
[12] Du X,Wang S X,Zhou Y,et al.Construction and Validation of a New Model for Unified Surface Water Capacity Based on EOS/MODIS Data[J].Geomatics and Information Science of Wuhan University,2007,32(3):205-208.[杜晓,王世新,周艺,等.一种新的基于MODIS的地表含水量模型构造与验证[J].武汉大学学报(信息科学版),2007,32(3):205-208.]
[13] Gitelson A A.Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation[J].Journal of Plant Physiology,2004,161(2):165-173.
[14] Richardson A J,Wiegand C L.Distinguishing Vegetation from Soil Background Information[J].Photogrammetric Engineering and Remote Sensing,1977,43(12):1541-1552.
[15] Jackson R D.Spectral Indices in N-space[J].Remote Sensing of Environment,1983,13(5):409-421.
[16] Ghulam A.Remote Monitoring of Farmland Drought Based N-dimensional Spectral Feature Space[D].PhD Dissertation (In Chinese),Peking University,Beijing,2006.
[17] Liu Y J,Yang Z D.The Processing and Algorithm on EOS/MODIS Remote Sensing[M].Beijing:Science Press,2001.[刘玉洁,杨忠东.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.]
[18] Guo N.Vegetation Index and Its Advances[J].Arid Meteorology,2003,21(4):71-75.[郭妮.植被指数及其研究进展[J].干旱气象,2003,21(4):71-75.]
[19] Zhang C C,Wu Z N,Yu H X.The Compare Studied to the Methods of Estimating Soil Moisture by Remote Sensing[J].Journal of Irrigation and Drainage,2004,23(2):69-72.[张成才,吴泽宁,余弘信.遥感计算土壤含水量方法的比较研究[J].灌溉排水学报,2004,23(2):69-72.]
[20] Li J L,Jiang P,Liu P J,et al.The Study on Dynamic Monitoring Soil Water Contents Using Remote Sensing Optical Method[J].Acta Ecologica Sinica,2003,23(8):1498-1504.[李建龙,蒋平,刘培君,等.利用遥感光谱法进行农田土壤水分遥感动态监测[J].生态学报,2003,23(8):1498-1504.]
[21] Tian G L.The Remote Sensing Methods for Monitoring Soil Moisture[J].Remote Sensing of Environment,1991,16(2):89-99.[田国良.土壤水分的遥感监测方法[J].环境遥感,1991,16(2):89-99.]

No Suggested Reading articles found!