Drought as a high incidence of agrometeorological disasters, long plagued industrial and agricultural production in many countries around the world. Drought is a natural disaster which has a great impact on human society and natural environment. With the development of economic and the continuous growth of population, range of drought is expanding and increasing. Monitoring and early warning of drought has become the focus of global concern. Vegetation Temperature Condition Index (VTCI) which integrates NDVI and LST can be applied to monitor current droughts more accurately at regional level, and provides the scientific basis for drought monitoring and crop yield estimation. The Aqua-MODIS remotely sensed data, precipitation and soil moisture from March to May in years from 2003 to 2013 were used to study applicability of VTCI drought monitoring method in the Guanzhong Plain of Shaanxi Province at time scales of 10, 16, 32 and 48 days. After comparing and analyzing the correlation coefficients between VTCI and cumulative precipitation and soil moisture, it is obvious that the correlation coefficients decrease with the increase of time scales, which indicates the applicability of VTCI drought monitoring method becomes worse with the increase of time scales. The VTCI drought monitoring method at the scale of 10 days is more suitable, while the method at the scale of 48 days is not suitable for monitoring droughts. The VTCI drought monitoring results at different time scales show that the method at the scale of 10 days is more accurate and practical. In order to meet the needs of different time scale agricultural drought monitoring, based on the drought monitoring results at the scale of 10 days, the time scale transformation method is applied to research and develop the drought monitoring method of main growth period for corps, which is one of the important research direction in the future.
LIN Qiao
,
WANG Peng-xin
,
ZHANG Shu-yu
,
LI Li
,
JING Yi-gang
,
LIU Jun-ming
. Applicability of Vegetation Temperature Index for Drought Monitoring at Different Time Scales[J]. Arid Zone Research, 2016
, 33(1)
: 186
-192
.
DOI: 10.13866/j.azr.2016.01.24
〔1〕 Wilhite D A,Svoboda M D,Hayes M J.Understanding the complex impacts of drought: A key to enhancing drought mitigation and preparedness〔J〕.Water Resources Management,2007,21(5):763-774.
〔2〕 李新周,刘晓东,马柱国.近百年来全球主要干旱区的干旱化特征分析〔J〕.干旱区研究,2004,21(2):97-103.〔Li Xinzhou,Liu Xiaodong,Ma Zhuguo.Analysis on the drought characteristics in the main arid regions in the world since recent hundred odd years〔J〕.Arid Zone Research,2004,21(2):97-103.〕
〔3〕 李洁,宁大同,程红光,等.基于3S技术的干旱灾害评估研究进展〔J〕.中国农业气象,2005,26(1):49-52.〔Li Jie,Ning Datong,Chen Hongguang,et al.Research progress on assessment of drought disaster based on 3S techniques〔J〕.Chinese Journal of Agrometeorology,2005,26(1):49-52.〕
〔4〕 Goodchild M F,Quattrochi D A.Scale,multi-scaling,remote sensing and GIS〔C〕//Quattrochi D A,Goodchild M F.Scale in Remote Sensing and GIS.Boca Raton:CRC Lewis Publishers,1997.
〔5〕 Takeuchi W,Tamura M,Yasuoka Y.Estimation of methane emission from West Siberian wetland by scaling technique between NOAA AVHRR and SPOT HRV〔J〕.Remote Sensing of Environment,2003,85(1):21-29.
〔6〕 苏理宏,李小文,黄裕霞.遥感尺度问题研究进展〔J〕.地球科学进展,2001,16(4):544-548.〔Su Lihong,Li Xiaowen,Huang Yuxia.An review on scale in remote sensing〔J〕.Advance in Earth Sciences,2001,16(4):544-548.〕
〔7〕 李小文,王祎婷.定量遥感尺度效应刍议〔J〕.地理学报,2013,68(9):1 163-1 169.〔Li Xiaowen,Wang Yiting.Prospects on future developments of quantitative remote sensing〔J〕.Journal of Geographical Science,2013,68(9):1 163-1 169.〕
〔8〕 王鹏新,龚健雅,李小文.条件植被温度指数及其在干旱监测中的应用〔J〕.武汉大学学报:信息科学版,2001,26(5):412-418.〔Wang Pengxin,Gong Jianya,Li Xiaowen.Vegetation temperature condition index and its application for drought monitoring〔J〕.Geomatics and Information Science of Wuhan University,2001,26(5):412-418.〕
〔9〕 Sun W,Wang P X,Zhang S Y,et al.Using the vegetation temperature condition index for time series drought occurrence monitoring in the Guanzhong Plain,PR China〔J〕.International Journal of Remote Sensing,2008,29(17/18):5 133-5 144.
〔10〕张树誉,孙威,王鹏新.条件植被温度指数干旱监测指标的等级划分〔J〕.干旱区研究,2010,27(4):600-606.〔Zhang Shuyu,Sun Wei,Wang Pengxin.Classification of drought grades based on vegetation temperature condition index〔J〕.Arid Zone Research,2010,27(4):600-606.〕
〔11〕Patel N R,Parida B R,Venus V,et al.Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite data〔J〕.Environmental Monitoring and Assessment,2012,184(12):7 153-7 163.
〔12〕田苗,王鹏新,韩萍,等.基于SARIMA模型和条件植被温度指数的干旱预测〔J〕.农业机械学报,2013,44(2):109-116.〔Tian Miao,Wang Pengxin,Han Ping,et al.Drought forecasts based on SARIMA models and vegetation temperature condition Index〔J〕.Transactions of the Chinese Society for Agricultural Machinery,2013,44(2):109-116.〕
〔13〕李慧,王鹏新.基于Terra-MODIS和NOAA-AVHRR数据的条件植被温度指数干旱监测及其对比分析〔J〕.干旱区资源与环境,2013,27(3):61-66.〔Li Hui,Wang Pengxin.Comparison study on VTCI drought monitoring results using Terra-MODIS and NOAA-AVHRR data〔J〕.Journal of Arid Land Resources and Environment,2013,27(3):61-66.〕
〔14〕李红梅,范建忠,李星敏.陕西近500年极端干旱变化初步分析〔J〕.陕西气象,2011(2):35-37.〔Li Hongmei,Fan Jianzhong,Li Xinming.Preliminary analysis Shaanxi extreme drought changes nearly 500 years〔J〕.Journal of Shaanxi Meteorology,2011(2):35-37.〕
〔15〕邵天杰,赵景波.关中平原近200年来洪涝灾害研究〔J〕.干旱区研究,2008,25(1):41-46.〔Shao Tianjie,Zhao Jingbo.Study on flood and waterlog disasters in the Guanzhong plain since recent 200 years〔J〕.Arid Zone Research,2008,25(1):41-46.〕
〔16〕石忆邵.陕西省干旱灾害的成因及其时空分布特征〔J〕.干旱区资源与环境,1994,8(3):51-57.〔Shi Yishao.Formation and temporal and spatial distribution of droughts in Shaanxi〔J〕.Journal of Arid Land Resources and Environment,1994,8(3):51-57.〕
〔17〕Cihlar J,Manak D,D'Iorio M.Evaluation of compositing algorithms for AVHRR data over land〔J〕.IEEE Transactions on Geoscience and Remote Sensing,1994,32(2):427-437.
〔18〕王鹏新,林巧,张树誉,等.2013年关中地区春旱的实时监测与剖析〔J〕.干旱地区农业研究,2013,31(3):234-236.〔Wang Pengxin,Lin Qiao,Zhang Shuyu,et al.Real time monitoring and analysis of spring drought in Guanzhong plain in 2013〔J〕.Agricultural Research in the Arid Areas,2013,31(3):234-236.〕
