Lei Zhou a,b,c, Jie Zhang a,b,c, Jianjun Wu a,b,c, Lin Zhao a,b,c, Ming Liu a,b,c, Aifeng Lü d, Zhitao Wu a,b,c
a State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China;
b Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs (MOCA)/Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China;
c Key Laboratory of Environment Change and Natural Disaster, Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China;
d Department of Water & Soil, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science (CAS), Beijing, 100101, PR China.
Abstract: Numerous drought indices have been developed and applied to monitor the severity of drought. It has been demonstrated that the evaluation of the indices is very important for further utilization of remotely sensed and meteorological information. The objective of this article is to investigate and compare the different methods derived from satellite/meteorological data for drought monitoring during the typical dry year (2006) in mid-eastern China. The compared six drought indices include the vegetation condition index (VCI), percent of average seasonal greenness (PASG), temperature condition index (TCI), vegetation supply water index (VSWI), percentage of precipitation anomalies (PPA) and standardized precipitation index (SPI). These indices are calculated based on different data sources including reflective data, thermal data, the combination of reflective and thermal data and meteorological data. The correlation matrix and regression relationships among the integrals under all drought indices, the integral under the relative air humidity (RAH) curve and cumulative rainfall at the location of 11 agro-meteorological stations for 2006 were calculated. Spatial comparison analysis among the drought indices reveals that all the indices have certain coincidence in the detected regional-scale distribution of drought especially those derived from the same data set, while obviously local-scale distribution differences were found among the different groups of indices. Compared to curves of the reflective and thermal indices, the overall trend of VSWI series has better consistence with the PPA curve. Based on correlation and regression analysis, it is demonstrated that VSWI can better reflect both the amount of precipitation and the severity of drought due to lack of rainfall. Furthermore, land surface temperature (LST) contributes more to the result of hybrid index (VSWI) than reflective information. There is logarithmic relationship between integral of VSWI and cumulative precipitation, while obvious linear correlations were found between integral under VSWI curve and integral under the RAH/TCI/PASG curves. According to the filed observation of droughts from agro-meteorological stations in the study area, it can be concluded that any single index is not sufficient to precisely depicting drought characteristics. The combined use of different indices at the same time or indices which integrate various sources of information may obtain more consistent results with the actual situation.
Published in International Journal of Remote Sensing. 2012, 33(6): 1755-1779.