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...

0

Crop yield estimation and prediction constitutes a key issue in agricultural management, particularly under the context of demographic pressure climate change. Currently, main challenge estimating crop yields based on remotely sensed data data-driven methods is how to cope with small datasets limited amount annotated samples. In order samples improve accuracy winter wheat Guanzhong Plain, PR Ch...

Crop growth condition and production play an important role in food management economic development. Therefore, estimating yield accurately timely is of vital importance for regional security. The long short-term memory (LSTM) model represents a deep network structure to incorporating crop processes, which has been proven accommodate different types representations data, recognize sequential pa...