Crop yield prediction using MODIS LAI, TIGGE weather forecasts and WOFOST model: A case study for winter wheat in Hebei, China during 2009–2013
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Title
Crop yield prediction using MODIS LAI, TIGGE weather forecasts and WOFOST model: A case study for winter wheat in Hebei, China during 2009–2013
Authors
Keywords
Winter wheat yield forecasting, WOFOST, Leaf area index, Data assimilation, 4Dvar
Journal
International Journal of Applied Earth Observation and Geoinformation
Volume 106, Issue -, Pages 102668
Publisher
Elsevier BV
Online
2021-12-29
DOI
10.1016/j.jag.2021.102668
References
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- (2021) Shangrong Wu et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model
- (2020) Lei Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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- (2020) Wen Zhuo et al. Remote Sensing
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- (2020) Vikalp Mishra et al. EUROPEAN JOURNAL OF AGRONOMY
- Spatial-temporal variation in irrigation water requirement for the winter wheat-summer maize rotation system since the 1980s on the North China Plain
- (2019) Dong Wu et al. AGRICULTURAL WATER MANAGEMENT
- Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach
- (2019) Yanghui Kang et al. REMOTE SENSING OF ENVIRONMENT
- Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation
- (2019) Wen Zhuo et al. Remote Sensing
- Assessing the information in crop model and meteorological indicators to forecast crop yield over Europe
- (2018) Rémi Lecerf et al. AGRICULTURAL SYSTEMS
- A review of data assimilation of remote sensing and crop models
- (2018) Xiuliang Jin et al. EUROPEAN JOURNAL OF AGRONOMY
- Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model
- (2018) Jianxi Huang et al. EUROPEAN JOURNAL OF AGRONOMY
- Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield
- (2018) Jianxi Huang et al. International Journal of Digital Earth
- Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm
- (2017) Xiuliang Jin et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Integrating remote sensing information with crop model to monitor wheat growth and yield based on simulation zone partitioning
- (2017) Caili Guo et al. PRECISION AGRICULTURE
- Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation
- (2016) Jianxi Huang et al. AGRICULTURAL AND FOREST METEOROLOGY
- Assessing the benefits of weather and seasonal forecasts to millet growers in Niger
- (2016) P. Roudier et al. AGRICULTURAL AND FOREST METEOROLOGY
- Drought monitoring based on TIGGE and distributed hydrological model in Huaihe River Basin, China
- (2016) Junfang Zhao et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A comparison of within-season yield prediction algorithms based on crop model behaviour analysis
- (2015) B. Dumont et al. AGRICULTURAL AND FOREST METEOROLOGY
- Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model
- (2015) Jianxi Huang et al. AGRICULTURAL AND FOREST METEOROLOGY
- Jointly Assimilating MODIS LAI and ET Products Into the SWAP Model for Winter Wheat Yield Estimation
- (2015) Jianxi Huang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Impact of Ensemble Size on TIGGE Precipitation Forecasts: An End-User Perspective
- (2015) Mudasser Muneer Khan et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Predicting maize yield in Zimbabwe using dry dekads derived from remotely sensed Vegetation Condition Index
- (2014) Farai Kuri et al. International Journal of Applied Earth Observation and Geoinformation
- Assessing the potential of an algorithm based on mean climatic data to predict wheat yield
- (2014) Benjamin Dumont et al. PRECISION AGRICULTURE
- Assimilating remote sensing information with crop model using Ensemble Kalman Filter for improving LAI monitoring and yield estimation
- (2013) Yanxia Zhao et al. ECOLOGICAL MODELLING
- Estimating near future regional corn yields by integrating multi-source observations into a crop growth model
- (2013) Jing Wang et al. EUROPEAN JOURNAL OF AGRONOMY
- Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction
- (2013) Amor V.M. Ines et al. REMOTE SENSING OF ENVIRONMENT
- Estimating regional winter wheat yield with WOFOST through the assimilation of green area index retrieved from MODIS observations
- (2012) Allard de Wit et al. AGRICULTURAL AND FOREST METEOROLOGY
- The use of satellite data for crop yield gap analysis
- (2012) David B. Lobell FIELD CROPS RESEARCH
- Monitoring and forecasting drought impact on dryland farming areas
- (2012) Saleh Arshad et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS Experiment
- (2011) Yannick Curnel et al. AGRICULTURAL AND FOREST METEOROLOGY
- Rice area mapping, yield, and production forecast for the province of Nueva Ecija using RADARSAT imagery
- (2011) C. Chen et al. CANADIAN JOURNAL OF REMOTE SENSING
- Integration of MODIS LAI and vegetation index products with the CSM–CERES–Maize model for corn yield estimation
- (2011) Hongliang Fang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Assimilation of MODIS-LAI into the WOFOST model for forecasting regional winter wheat yield
- (2011) Guannan Ma et al. MATHEMATICAL AND COMPUTER MODELLING
- The THORPEX Interactive Grand Global Ensemble
- (2010) Philippe Bougeault et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Enhancing the utility of daily GCM rainfall for crop yield prediction
- (2010) Amor V. M. Ines et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Improving multimodel weather forecast of monsoon rain over China using FSU superensemble
- (2009) T. N. Krishnamurti et al. ADVANCES IN ATMOSPHERIC SCIENCES
- Statistical spring wheat yield forecasting for the Canadian prairie provinces
- (2009) Budong Qian et al. AGRICULTURAL AND FOREST METEOROLOGY
- Medium-range multimodel ensemble combination and calibration
- (2009) Christine Johnson et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
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- (2008) Ashok Mishra et al. AGRICULTURAL AND FOREST METEOROLOGY
- Methodology for the use of DSSAT models for precision agriculture decision support
- (2008) Kelly R. Thorp et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Monitoring winter wheat growth in North China by combining a crop model and remote sensing data
- (2008) Ma Yuping et al. International Journal of Applied Earth Observation and Geoinformation
- Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model
- (2008) Hongliang Fang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- TIGGE: Preliminary results on comparing and combining ensembles
- (2008) Young-Youn Park et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield
- (2007) L DENTE et al. REMOTE SENSING OF ENVIRONMENT
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