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| A modified vegetation water supply index (MVWSI) and its application in drought monitoring over Sichuan and Chongqing, China |
| WU Men-xin, LU Hou-quan |
| National Meteorological Center, China Meteorological Administration, Beijing 100081, P.R.China |
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Abstract Based on the principle of vegetation water supply index (VWSI), relative normalized difference vegetation index (RNDVI) and relative land surface temperature (RLST) are proposed, with which a modified vegetation water supply index (MVWSI) is constructed, i.e.,  . Compared with VWSI, MVWSI eliminates the difference caused by the spatial and temporal distribution of VWSI. MVWSI was applied to monitor drought over Sichuan and Chongqing, China in 2006, suggesting that MVWSI can demonstrate the whole process of drought from its emergence and development to its weakening and disappearance. The relative precipitation index (RPI) is used to examine the effectiveness of MVWSI. The examination result shows that MVWSI and RPI have high consistency in spatial distribution and in-site time series analysis. Compared with vegetation condition index (VCI), temperature condition index (TCI), vegetation temperature condition index (VTCI) and temperature vegetation drought index (TVDI), MVWSI is simpler in calculation and more stable hence more easily realized in application.
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Received: 02 July 2015
Accepted:
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| Fund: The study was jointly supported by the National Basic Research Program of China (2013CB430205) and the National Key Technologies R&D Program of China during the 12th Five-Year Plan period (2011BAD32B01). |
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Corresponding Authors:
LU Hou-quan, Tel: +86-10-68407339,
E-mail: lvhq@cma.gov.cn
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| About author: WU Men-xin, Tel: +86-10-68409654, E-mail: wumx@cma.gov.cn; |
Cite this article:
WU Men-xin, LU Hou-quan.
2016.
A modified vegetation water supply index (MVWSI) and its application in drought monitoring over Sichuan and Chongqing, China. Journal of Integrative Agriculture, 15(9): 2132-2141.
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| Bao Y, Meng C, Shen S, Qiu, Gao P, Liu C. 2011. Analysis on characteristics of a typical drought event in Jiangsu Province. Acta Ecologica Sinica, 31, 6853–6865. (in Chinese)Carlson T N, Gillies R R, Perry E M. 1994. A method to make use of thermal infrared temperature and NDVI measurements to infer soil water content and fractional vegetation cover. Remote Sensing Reviews, 52, 45–59.China Meteorological Administration (CMA). 2007. In: Dong W, He Y, Chen Y, Wang W, eds., China Meteorological Disaster Yearbook. China Meteorological Press. pp. 171–173. (in Chinese)Gao M, Qin Z, Zhang H, Lu L, Zhou X, Yang X. 2008. Remote sensing of agro-droughts in Guangdong Province of China using MODIS satellite data. Sensors, 8, 4687–4708.Huang S, Nie Q, Zhu B. 2008. A dtudy on drought monitoring by means of remote sensing in Jiangxi Province. Journal of Jiangxi Agricultural University, 30, 944–948. (in Chinese)Kogan F N. 1995. Application of vegetation index and brightness temperature for drought detection. Advance in Space Research, 15, 91–100. Kogan F N. 1997. Global drought watch from space. Bulletin of the American Meteorological Society, 78, 621–636.Kogan F N. 2000. Satellite-observed sensitivity of world land ecosystems to El Nino/La Nina. Remote Sensing of Environment, 74, 445–462.Kogan F N. 2002. World droughts in the new millennium from AVHRR based vegetation health indices. Eos, Transactions, American Geophysical Union, 83, 557–564.McVicar T R, Bierwirth P N. 2001. Rapidly assessing the 1997 drought in Papua New Guinea using composite AVHRR imagery. International Journal of Remote Sensing, 22, 2109–2128.Mo W, Wang Z, Sun H. 2006. Remote sensing monitoring of farmland drought based on vegetation supply water index. Journal of Nanjing Institute of Meteorology, 29, 396–401. (in Chinese)NSMC (National Satellite Meteorological Center)/CMA. 1999. The drought monitoring products based on meteorological satellite. In: Dong C, Zhang G, Xing F, Feng Y, eds., The Practical Handbook of Meteorological Satellite Service Products. China Meteorological Press, China. pp. 155–159. (in Chinese)Nemani R, Pierce L, Running S, Goward S. 1993. Developing satellite-derived estimates of surface moisture status. Journal of Applied Meteorology, 32, 548–557.Nemani R, Running S. 1989. Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. Journal of Applied Meteorology, 28, 276–284.Qi S, Wang C, Niu Z. 2003. Evaluating soil moisture status in China using the temperature vegetation dryness index (TVDI). Journal of Remote Sensing, 7, 420–427. (in Chinese)Sandholt I, Rasmussen K, Andersen J. 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79, 213–224.Sheng S, Ma X, Xun S. 2003. Remote sensing monitoring and evaluation of drought in Anhui Province based on GIS. Journal of Natural Disasters, 12, 151–157. (in Chinese)Sun L, Wang F, Wu Q. 2010. Drought monitoring by remote sensing in winter-wheat-growing area of China. Transactions of the CSAE, 26, 243–249. (in Chinese)Tucker C J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127–150.Tucker C J, Choudhury B J. 1987. Satellite remote sensing of drought conditions. Remote Sensing of Environment, 23, 243–251.Wang P, Gong J, Li X. 2001. Vegetation temperature condition index and its application for drought monitoring. Geomatics and Information Science of Wuhan University, 26, 412–417. (in Chinese) Wang P, Wan Z, Gong J, Li X, Wang J. 2003. Advances in drought monitoring by using remotely sensed normalized difference vegetation index and land surface temperature products. Advance in Earth Sciences, 18, 527–533. (in Chinese)Wan Z, Wang P, Li X. 2004. Using MODIS land surface temperature and normalized difference vegetation index products for monitoring drought in the southern Great Plains, USA. International Journal of Remote Sensing, 25, 61–72.Zhan Z, Qin Q, Ghulam A. 2006. A new method of soil moisture monitoring based on NIR-red spectral space. Science in China (D: Earth Sciences), 36, 1020–1026. (in Chinese)Zhang S, Du J, Jing Y. 2006. A study on routine operational remote sensing drought monitoring model using MODIS data. Agricultural Research in the Arid Areas, 24, 1–6. (in Chinese)Zhu L, Liu J, Zhang Y, Wang M. 2010. Application of FY-3A/MERSI satellite data to drought monitoring in North China. Journal of Remote Sensing, 14, 1004–1016. (in Chinese) |
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