Soil moisture (SM) is an important parameter in all environments because it affects the relationship between land surface and atmospheric processes. Therefore, finding products that can accurately measure SM critical to improving drought management. The objective of this study was investigate accuracy satellite data from produced by China Meteorological Administration Land Data Assimilation Sys...

in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...

In recent decades, the area and proportion of planted forests have increased; thus, understanding the responses of planted and natural forests to drought are crucial because it forms the basis for forest risk assessments and management strategies. In this study, we combined the moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index (EVI), meteorological aridity indices,...

regional vegetation plays an important role in modeling ecosystem changes and conservation. meteorological drought indices which are directly obtained from such meteorological data as precipitation can't be useful in drought monitoring if those data are absence. therefore, remote sensing techniques may provide an efficient technique for drought monitoring. in this study, the values of norm...

In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...