1. State Key Laboratory of Remote Sensing Science, Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China 2. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China 3. Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China 4. Beijing Engineering Research Center for Global Land Remote Sensing Products, Beijing Normal University, Beijing 100875, China 5. College of Tourism and Environment, Shaanxi Normal University, Xi’an 710062, China;
Henan Province was therefore chosen as the study area in this paper. The temperature condition index (TCI),vegetation condition index (VCI) and rainfall condition index (TRCI) were calculated by using the EOS-MODIS surface temperature product MOD11A2,vegetation index products MOD13A3 and tropical rainfall measuring mission’s monthly rainfall rate data TRMM3B43 from 2005 to 2014. Then an agricultural drought index (ADI) monitoring model was built up by weighing these three indices and the weights were determined by using analytic hierarchy process (AHP) analysis method. Grading indices of ADI were derived in terms of the classification scales of drought for standardized precipitation index (SPI) which were authorized by national standard. Finally,the ADI monitoring model was constructed to analyze the drought situation in Henan Province in 2014. The results indicate that the ADI proposed in this paper can well capture the temporal and spatial characteristics of the drought situation in Henan Province.
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