The increasing availability and variety of global satellite products the rapid development new algorithms has provided great potential to generate a level data with different spatial, temporal, spectral resolutions. However, ability these synthetic spatiotemporal datasets accurately map monitor our planet on field or regional scale remains underexplored. This study aimed support future research...

A sensitivity analysis of the responses of crops to the chosen production adaptation options under regional climate change was conducted in this study. Projections of winter wheat production for different sowing dates and cultivars were estimated for a major economic and agricultural province of China from 2021 to 2080 using the World Food Study model (WOFOST) under representative concentration...

Winter wheat crop yield forecasting at national, regional and local scales is an extremely important task. This paper aims at assessing the efficiency (in terms of prediction error minimization) of satellite and biophysical model based predictors assimilation into winter wheat crop yield forecasting models at different scales (region, county and field) for one of the regions in central part of ...

the models oryza2000, swap and wofost simulate the growth and development of rice under conditions of potential production and water limitation. the models were evaluated against a data set of field experiments. the study was laid out in rcbd with three replications for one traditional landrace, hashemi, carried out in 2005 at the rice research institute of iran in rasht. the irrigation managem...

Regional crop yield prediction is a significant component of national food security assessment and food policy making. The crop growth model based on field scale is limited when it is extrapolated to regional scale to estimate crop yield due to the uncertainty of the input parameters. The data assimilation method which combines crop growth model and remotely sensed data has been proven to be th...