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Assimilating MODIS-LAI into Crop Growth Model with EnKF to Predict Regional Crop Yield [chapter]

Sijie Wu, Jianxi Huang, Xingquan Liu, Jinlong Fan, Guannan Ma, Jinqiu Zou
2012 IFIP Advances in Information and Communication Technology  
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

Haizhu Pan, Zhongxin Chen, de Wit Allard, Jianqiang Ren
2019 Sensors  
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

Jianxi Huang, Liyan Tian, Shunlin Liang, Hongyuan Ma, Inbal Becker-Reshef, Yanbo Huang, Wei Su, Xiaodong Zhang, Dehai Zhu, Wenbin Wu
2015 Agricultural and Forest Meteorology  
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

Zhengchun Liu, Zhanjun Xu, Rutian Bi, Chao Wang, Peng He, Yaodong Jing, Wude Yang
2021 Sensors  
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

Jianxi Huang, Jose L. Gómez-Dans, Hai Huang, Hongyuan Ma, Qingling Wu, Philip E. Lewis, Shunlin Liang, Zhongxin Chen, Jing-Hao Xue, Yantong Wu, Feng Zhao, Jing Wang (+1 others)
2019 Agricultural and Forest Meteorology  
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


2010 Scientia Sinica Informationis  
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

Paolo Silvestro, Stefano Pignatti, Simone Pascucci, Hao Yang, Zhenhai Li, Guijun Yang, Wenjiang Huang, Raffaele Casa
2017 Remote Sensing  
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

He Li, Zhongxin Chen, Gaohuan Liu, Zhiwei Jiang, Chong Huang
2017 Remote Sensing  
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

Bingyu Zhao, Meiling Liu, Jianjun Wu, Xiangnan Liu, Mengxue Liu, Ling Wu
2020 IEEE Access  
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

Ho-Young Ban, Joong-Bae Ahn, Byun-Woo Lee, David A Lightfoot
2019 PLoS ONE  
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

Yi Xie, Jianxi Huang
2021 Remote Sensing  
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

Xiuliang Jin, Lalit Kumar, Zhenhai Li, Xingang Xu, Guijun Yang, Jihua Wang
2016 Remote Sensing  
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

Andreas Tewes, Carsten Montzka, Manuel Nolte, Gunther Krauss, Holger Hoffmann, Thomas Gaiser
2020 Agronomy  
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

Zhenhai Li, Jihua Wang, Xingang Xu, Chunjiang Zhao, Xiuliang Jin, Guijun Yang, Haikuan Feng
2015 Remote Sensing  
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

Dimitrios Kasampalis, Thomas Alexandridis, Chetan Deva, Andrew Challinor, Dimitrios Moshou, Georgios Zalidis
2018 Journal of Imaging  
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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