This paper works on the agricultural drought forecasting in the Guanzhong Plain of China using Autoregressive Integrated Moving Average (ARIMA) models based on the time series of drought monitoring results of Vegetation Temperature Condition Index (VTCI). About 90 VTCI images derived from Advanced Very High Resolution Radiometer (AVHRR) data were selected to develop the ARIMA models from the er...

The aim of this research was to determine the effective drought indices such as NDVI, VCI, EVI, TVX, VTCI, VHI, TCI and NVSWI based on some criteria. The satellite-based drought indices have different data from vegetation and temperature conditions. Linear and trend analysis showed that satellite-based drought indices based on vegetation condition were not more efficient indices such as NDVI an...

To further reveal the relationships between different variables and yield at each growth stage of winter wheat, an approach for estimating regional yields wheat multiple time scales was developed by assimilating CERES-Wheat model simulations remotely sensed observations. Specifically, particle filter assimilation algorithm chosen to assimilate simulated soil moisture depth 0–20 cm leaf area ind...

The Punjab region of Pakistan faced significant losses from flash flooding in 2010 and experienced a multiyear drought during 1998–2002. current study illustrates the flood conditions using multi-satellite data products derived Moderate Resolution Imaging Spectroradiometer (MODIS) Tropical Rainfall Measuring Mission (TRMM) as well TRMM Multi-satellite Precipitation Analysis (TMPA) satellites wi...

Over the last five decades, Pakistan experienced its worst drought from 1998 to 2002 and flood in 2010. This study determined record-breaking impacts of droughts (1998–2002) (2010) analyzed given 12-year period, especially follow-on period when winter wheat crop was grown. We identified drought, flood, warm cold edges over plain Punjab based on a time series (2003–2014), using vegetation temper...