New Drought Indices and Assessment in Drought Monitoring
Tuesday, April 21, 2015
Nana Yan1, Bingfang Wu1 and Sheng Chang2, (1)RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (2)The Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing, China
Abstract:
Due to spatial coverage, data availability and cost efficiency, this paper focused on studying the potential to apply the satellite product to monitor drought. First is Standard Precipitation Index (SPI), which is widely used around the world for research and operational applications on meteorological and agricultural drought monitoring and early warning. SPI was designed to be calculated for any location that has a long-term precipitation record. Therefore, the accuracy of monthly precipitation data of TRMM (the Tropical Rainfall Measurement Mission) 3B43, was firstly investigated through comparison with rainfall data of forty ground stations in Hai Basin from 1998 to 2010.A single parameterized correction equation was presented to calibrate the TRMM rainfall data to formulate the series rainfall dataset of 30 year from 1981 to 2010. It was found that 3-month SPI was the best to depict the meteorological drought, which agreed well with the statistical drought information from 2000 to 2004. Second is Temperature-modified Anomaly NDVI Index (TANDVI) was improved based on the fact that NDVI was more affected by the accumulated temperature than precipitation in spring in the south plain of Hai Basin. The results indicated that the change of crop phenologywould be an important factor which can bring the error on assessing the drought.
