Assimilating MODIS-LAI into Crop Growth Model with EnKF to Predict Regional Crop Yield
نویسندگان
چکیده
Regional crop yield prediction is a vital component of national food security assessment. Data assimilation method which combines crop growth model and remotely sensed data has been proven the most potential method in regional crop production estimation. This paper takes Hengshui district as study area, WOFOST as crop model, MODIS-LAI as observation data to test and verify the efficiency of EnKF assimilation method. The results show that the precision of crop yield estimation are obviously improved with EnKF assimilation, in the WOFOST potential level the R 2 improved from 0.10 to 0.38 and RMSE was reduced from 2480 kg/ha to 880kg/ha. Our study indicates that EnKF assimilation method has great potential in regional crop production forecasting.
منابع مشابه
Regional winter wheat yield prediction by integrating MODIS LAI into the WOFOST model with sequential assimilation technique
In this study, a regional winter wheat yield prediction method was developed by integration of time series of Moderate-Resolution Imaging Spectroradiometer MODIS LAI products (MOD15A2) with WOrld FOod STudies (WOFOST) model through Ensemble Kalman Filter (EnKF) algorithm at the regional scale in the Hengshui District, Hebei province in China. WOFOST model was selected as the crop growth dynamic...
متن کاملEstimating regional winter wheat yield by assimilation of time series of HJ-1 CCD NDVI into WOFOST-ACRM model with Ensemble Kalman Filter
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...
متن کاملSpatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model
Crop insurance is a viable solution to reduce the vulnerability of smallholder farmers to risks from pest and disease outbreaks, extreme weather events, and market shocks that threaten their household food and income security. In developing and emerging countries, the implementation of area yield-based insurance, the form of crop insurance preferred by clients and industry, is constrained by th...
متن کاملIntegrating Remotely Sensed Data with an Ecosystem Model to Estimate Crop Yield in North China
This paper describes a method of integrating remotely sensed data (the MODIS LAI product) with an ecosystem model (the spatial EPIC model) to estimate crop yield in North China. The traditional productivity simulations based on crop models are normally sitespecific. To simulate regional crop productivity, the spatial crop model is developed firstly in this study by integrating Geographical Info...
متن کاملCrop condition and yield simulations using Landsat and MODIS
Monitoring crop condition and yields at regional scales using imagery from operational satellites remains a challenge because of the problem in scaling local yield simulations to the regional scales. NOAA AVHRR satellite imagery has been traditionally used to monitor vegetation changes that are used indirectly to assess crop condition and yields. Additionally, the 1-km spatial resolution of NOA...
متن کامل