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Assimilating MODIS-LAI into Crop Growth Model with EnKF to Predict Regional Crop Yield
[chapter]
2012
IFIP Advances in Information and Communication Technology
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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 ...
Remotely Sensed Data In
Assimilating MODIS-LAI into WOFOST Ensemble Kalman Filter The Ensemble Kalman Filter is an optional recursive data assimilation method. ...
doi:10.1007/978-3-642-27275-2_46
fatcat:s2srwy4elrgpxku6p267kplqhm
Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation
2019
Sensors
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In this study, we assimilated remotely sensed LAI and SM into the Word Food Studies (WOFOST) model to estimate winter wheat yield using an ensemble Kalman filter (EnKF) algorithm. ...
Hence, joint assimilation of LAI and SM from Sentinel-1 and Sentinel-2 at a 20 m resolution into the WOFOST provides a robust method to improve crop yield estimations. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s19143161
fatcat:bnlxe64l5fa7hiq5ynjajrotuu
Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model
2015
Agricultural and Forest Meteorology
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The TM LAI and scale-adjusted LAI datasets were assimilated into the WOFOST model to allow evaluation of the yield estimation accuracy. ...
To predict regional-scale winter wheat yield, we developed a crop model and data assimilation framework that assimilated leaf area index (LAI) derived from Landsat TM and MODIS data into the WOFOST crop ...
Acknowledgements This study was financially supported by the National Natural Science Foundation Project of China (No. 41371326), the authors are grateful to the anonymous reviewers who provided constructive ...
doi:10.1016/j.agrformet.2015.02.001
fatcat:5qzu3leu3ncuzeyzg3zfhl2qje
Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model
2021
Sensors
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We incorporated leaf area index (LAI) and soil moisture derived from multi-source Sentinel data with the CERES-Wheat model using ensemble Kalman filter data assimilation. ...
Assimilation of LAI independently estimated yield with high precision and efficiency in irrigated areas for winter wheat, with RMSE and absolute relative error (ARE) of 427.57 kg ha−1 and 6.07%, respectively ...
Note: DA represents data assimilation; LAI represents leaf area index; * p < 0.05, ** p < 0.01, *** p < 0.001. ...
doi:10.3390/s21041247
pmid:33578703
fatcat:jltcui5pnfgrpmpyim44salhoq
Assimilation of remote sensing into crop growth models: Current status and perspectives
2019
Agricultural and Forest Meteorology
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Data assimilation (DA) provides a way of blending the monitoring properties of EO data with the predictive and explanatory abilities of crop growth models. ...
The use of Earth Observation (EO) data allows crop monitoring at a range of spatial scales, but can be hampered by limitations in the data. ...
Acknowledgments This study was supported by the National Natural Science Foundation of China (Project No. 41671418, 61661136006), and Fundamental Research Funds for the Chinese Central Universities (Project ...
doi:10.1016/j.agrformet.2019.06.008
fatcat:suuzc3dcujge5go5wfmnkj4x3i
基于遥感信息和作物生长模型同化的水稻估产方法研究
2010
Scientia Sinica Informationis
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The history data set of rice cultivation is used to modify the crop model WOFOST to establish the initial rice model to estimate rice yield. ...
The initial rice model is recalibrated by the assimilation procedure. The recalibrated rice model is used to estimate rice yield and the result is evaluated by field measurements. ...
Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts. Agr Forest Meteorl, 2007,146: 38-56 5 Ritchie J T, Otter S. ...
doi:10.1360/zf2010-40-suppl-173
fatcat:xm2e2bjqijhdrnf2adstyevtt4
Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models
2017
Remote Sensing
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Authors of [24] tested the ensemble Kalman filter (EnKF), an updating assimilation method, to assimilate the LAI derived from MODIS into the WOFOST crop model [29] , in order to determine the production ...
The aim of this work was to develop and compare two methods for the estimation of winter wheat yield, suitable both at field and district level, based on data assimilation algorithms combining remotely ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs9050509
fatcat:mmicv566wjggjbcaf2z4i5irja
Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales
2017
Remote Sensing
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To improve the accuracy of winter wheat yield estimation, the Crop Environment Resource Synthesis for Wheat (CERES-Wheat) model with an assimilation strategy was performed by assimilating measured or remotely-sensed ...
Although the best yield estimates were obtained when all of the observed LAIs were assimilated into the crop model, an acceptable estimate of crop yield could also be achieved by assimilating fewer observations ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs9030190
fatcat:z46cjp3j3zecdi47xv5nfigmj4
Parallel computing for obtaining regional scale rice growth conditions based on WOFOST and satellite images
2020
IEEE Access
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Huang [28] conducted an experiment on regional winter wheat yield forecasting with moderate-resolution imaging spectroradiometer-leaf area index (MODIS-LAI) products on the basis of assimilation between ...
Blattner [64] utilized the CUDA programming framework in numerical weather prediction by the data assimilation method, local ensemble transformed Kalman filter algorithm. ...
doi:10.1109/access.2020.3043003
fatcat:ll267opdcneqngjmwzqm5g7j4m
Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions
2019
PLoS ONE
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Planting date was estimated using a phenology model with a leaf area duration (LAD)-logistic function that describes the seasonal evolution of MODIS-derived leaf area index (LAI). ...
To improve the accuracy and precision of regional corn yield predictions, a simple approach for assimilating Moderate Resolution Imaging Spectroradiometer (MODIS) products into a crop growth model was ...
Acknowledgments This study was conducted with the support of the Cooperative Research Program for Agriculture Science & Technology Development (Project NO. 010115022017), Rural Development Administration ...
doi:10.1371/journal.pone.0211874
pmid:30802254
pmcid:PMC6389283
fatcat:dpz35tvaujazhgwpib6sltcx3e
Integration of a Crop Growth Model and Deep Learning Methods to Improve Satellite-Based Yield Estimation of Winter Wheat in Henan Province, China
2021
Remote Sensing
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Finally, an exponential model of the relationship between the field-measured LAI and MODIS NDVI was applied to obtain the regional LAI, which was input into the trained LSTM, 1-D CNN and RF models to estimate ...
In this study, a crop-growth model was integrated with time series of remotely sensed data through deep learning (DL) methods to improve the accuracy of regional wheat-yield estimations in Henan Province ...
Acknowledgments: We thank the Henan Meteorological Bureau for providing the meteorological, soil, field management parameters and wheat growth data for the CERES-Wheat model. ...
doi:10.3390/rs13214372
fatcat:slwnqrklyvftllhiv6wgopzbeu
Estimation of Winter Wheat Biomass and Yield by Combining the AquaCrop Model and Field Hyperspectral Data
2016
Remote Sensing
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This study offers a new method for agricultural resource management through consistent assessments of winter wheat biomass and yield based on the AquaCrop model and remote sensing data. ...
A combination of crop growth models and remote sensing data is a useful method for monitoring crop growth status and estimating crop yield. ...
Acknowledgments: This study was supported by the Natural Science Foundation of China (41601369, 41471285, 41471351, 41301375, 41271345,), the Beijing Natural Science Foundation (4141001), the Special ...
doi:10.3390/rs8120972
fatcat:hedbsxra65evjcwvwdrg254jcq
Assimilation of Sentinel-2 Estimated LAI into a Crop Model: Influence of Timing and Frequency of Acquisitions on Simulation of Water Stress and Biomass Production of Winter Wheat
2020
Agronomy
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LAI was assimilated in every possible combinational setup using the ensemble Kalman filter (EnKF). ...
LAI assimilation into crop simulation models could aid to improve the prediction accuracy for biomass at field level. ...
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/agronomy10111813
fatcat:x2xm7prjnbauvoa7j3jtuf4soe
Assimilation of Two Variables Derived from Hyperspectral Data into the DSSAT-CERES Model for Grain Yield and Quality Estimation
2015
Remote Sensing
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These two assimilation variables resulted in grain yield and protein content estimates of winter wheat with a high precision and R 2 and RMSE values of 0.698 and 0.726 ton•ha −1 , and 0.758% and 1.16%, ...
This study provides a more robust method for estimating the grain yield and protein content of winter wheat based on the integration of the DSSAT-CERES crop model and remote sensing data. ...
Acknowledgments This study was supported by the National Natural Science Foundation of China (Grant No. 41471285, 41171281), Science and Technology Innovation Capability Construction of Beijing Academy ...
doi:10.3390/rs70912400
fatcat:xmtyjs7jxfgi3is56fhrfwpi2u
Contribution of Remote Sensing on Crop Models: A Review
2018
Journal of Imaging
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Remote sensing can provide the missing spatial information required by crop models for improved yield prediction. ...
It examines the main methods by which remote sensing data and crop growth models can be combined. ...
Systems with the Support of Remote Sensing". ...
doi:10.3390/jimaging4040052
fatcat:vmoyde2kdjdqteenowui4dnv2u
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