Akhoondzadeh , Mahdi
University of Tehran
[ 1 ] - Combining Neural Network and Wavelet Transform to Predict Drought in Iran Using MODIS and TRMM Satellite Data
The drought can be described as a natural disaster in each region. In this study, one of the important factors in drought, vegetation, has been considered. For this purpose, monthly vegetation cover images and snow cover data of MODIS and TRMM satellite precipitation product from 2009 to 2018 were used for the study area of Iran. After initial preprocessing, we have used artificial neural netwo...
نویسندگان همکار