Central Plains Drought Using Modis and Trmm Products
نویسندگان
چکیده
منابع مشابه
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...
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Drought is one of the most important threats for agricultural production in the world, espatially in Iran. This phenomenon has started with reduction of precipitations that lead to a decrease in soil moisture and an increase in soil surface temperature, which affect the vegetation growth. The purpose of this study was to investigate droughts in the Jaz_Murian basin by VHI, VCI, TCI and SPI indi...
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Droughts are one of the most damaging climatic phenomena, and the most complex natural hazard which affects the economy, agriculture, public health and environment in large areas. The aim of this study is to compare drought indicators derived from tropical rainfall measuring mission (TRMM) data in the south of Iran. Also the TRMM rainfall was considered, so as to investigate changes in the rai...
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تاریخ انتشار 2014