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Original Articles

Large area operational wheat yield model development and validation based on spectral and meteorological data

Pages 3023-3038 | Published online: 25 Nov 2010

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Rim Mehdaoui & Makram Anane. (2020) Exploitation of the red-edge bands of Sentinel 2 to improve the estimation of durum wheat yield in Grombalia region (Northeastern Tunisia). International Journal of Remote Sensing 41:23, pages 8986-9008.
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F. Maselli, M. Moriondo, L. Angeli, L. Fibbi & M. Bindi. (2011) Estimation of wheat production by the integration of MODIS and ground data. International Journal of Remote Sensing 32:4, pages 1105-1123.
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Lenny Wall, Denis Larocque & Pierre‐Majorique Léger. (2008) The early explanatory power of NDVI in crop yield modelling. International Journal of Remote Sensing 29:8, pages 2211-2225.
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DennisL. Wright, V.Philip Rasmussen, R.Douglas Ramsey, DoranJ. Baker & JasonW. Ellsworth. (2004) Canopy Reflectance Estimation of Wheat Nitrogen Content for Grain Protein Management. GIScience & Remote Sensing 41:4, pages 287-300.
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Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez & J. Mason Earles. (2024) Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards. Computers and Electronics in Agriculture 216, pages 108439.
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Payam Najafi, Akram Eftekhari & Alireza Sharifi. (2023) Evaluation of time-series Sentinel-2 images for early estimation of rice yields in south-west of Iran. Aircraft Engineering and Aerospace Technology 95:5, pages 741-748.
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Somnath Mandal, Subhasis Bhattacharya & Suman Paul. (2022) Assessing the impact of coal-fired thermal power plant emissions on surrounding vegetation health using geoinformatics: a case study. Safety in Extreme Environments 4:2, pages 81-100.
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Kavita Jhajharia & Pratistha Mathur. (2022) Machine Learning Approaches to Predict Crop Yield Using Integrated Satellite and Climate Data. International Journal of Ambient Computing and Intelligence 13:1, pages 1-17.
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Luwei Feng, Yumiao Wang, Zhou Zhang & Qingyun Du. (2021) Geographically and temporally weighted neural network for winter wheat yield prediction. Remote Sensing of Environment 262, pages 112514.
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Florin Sala, Cosmin Alin Popescu, Mihai Valentin Herbei & Ciprian Rujescu. (2020) Model of Color Parameters Variation and Correction in Relation to “Time-View” Image Acquisition Effects in Wheat Crop. Sustainability 12:6, pages 2470.
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Juan Cao, Zhao Zhang, Fulu Tao, Liangliang Zhang, Yuchuan Luo, Jichong Han & Ziyue Li. (2020) Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China. Remote Sensing 12:5, pages 750.
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Toshihiro Sakamoto. (2020) Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm. ISPRS Journal of Photogrammetry and Remote Sensing 160, pages 208-228.
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Yaping Cai, Kaiyu Guan, David Lobell, Andries B. Potgieter, Shaowen Wang, Jian Peng, Tianfang Xu, Senthold Asseng, Yongguang Zhang, Liangzhi You & Bin Peng. (2019) Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches. Agricultural and Forest Meteorology 274, pages 144-159.
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Sergii Skakun, Eric Vermote, Belen Franch, Jean-Claude Roger, Nataliia Kussul, Junchang Ju & Jeffrey Masek. (2019) Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models. Remote Sensing 11:15, pages 1768.
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Francesco Novelli, Heide Spiegel, Taru Sandén & Francesco Vuolo. (2019) Assimilation of Sentinel-2 Leaf Area Index Data into a Physically-Based Crop Growth Model for Yield Estimation. Agronomy 9:5, pages 255.
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Bruno Basso & Lin Liu. 2019. 201 255 .
Erdal Erbil & Mehmet Atilla Gür. (2017) Fizyolojik ve Morfolojik Parametreler Kullanarak Bazı İleri Soya (Glycine max. L.) Hatlarının Şanlıurfa İkinci Ürün Koşullarında Verim Özellikleri Yönünden Performanslarının Araştırılması. Harran Tarım ve Gıda Bilimleri Dergisi, pages 480-493.
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Atena Haghighattalab, Jared Crain, Suchismita MondalJessica Rutkoski, Ravi Prakash SinghJesse Poland. (2017) Application of Geographically Weighted Regression to Improve Grain Yield Prediction from Unmanned Aerial System Imagery. Crop Science 57:5, pages 2478-2489.
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Muhammad UsmanRudolf LiedlMuhammad Adnan Shahid. (2014) Managing Irrigation Water by Yield and Water Productivity Assessment of a Rice-Wheat System Using Remote Sensing. Journal of Irrigation and Drainage Engineering 140:7.
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Mei-chen Feng, Lu-jie Xiao, Mei-jun Zhang, Wu-de Yang & Guang-wei Ding. (2014) Integrating Remote Sensing and GIS for Prediction of Winter Wheat (Triticum aestivum) Protein Contents in Linfen (Shanxi), China. PLoS ONE 9:1, pages e80989.
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Jingfeng Huang, Xiuzhen Wang, Xinxing Li, Hanqin Tian & Zhuokun Pan. (2013) Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAA's-AVHRR. PLoS ONE 8:8, pages e70816.
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Felix Rembold, Clement Atzberger, Igor Savin & Oscar Rojas. (2013) Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. Remote Sensing 5:4, pages 1704-1733.
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Greg Lyle, Megan Lewis & Bertram Ostendorf. (2013) Testing the Temporal Ability of Landsat Imagery and Precision Agriculture Technology to Provide High Resolution Historical Estimates of Wheat Yield at the Farm Scale. Remote Sensing 5:4, pages 1549-1567.
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Allard de Wit, Gregory Duveiller & Pierre Defourny. (2012) Estimating regional winter wheat yield with WOFOST through the assimilation of green area index retrieved from MODIS observations. Agricultural and Forest Meteorology 164, pages 39-52.
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Mei-Chen FENG & Wu-De YANG. (2011) Changes in <I>NDVI</I> and yield of winter wheat cultivars with different plant types. Chinese Journal of Eco-Agriculture 19:1, pages 87-92.
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Gennady Menzhulin, Natalya Shamshurina, Artyom Pavlovsky & Felix Kogan. 2011. Use of Satellite and In-Situ Data to Improve Sustainability. Use of Satellite and In-Situ Data to Improve Sustainability 105 112 .
I. Becker-Reshef, E. Vermote, M. Lindeman & C. Justice. (2010) A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sensing of Environment 114:6, pages 1312-1323.
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Javier Gallego, Elisabetta Carfagna & Bettina Baruth. 2010. Agricultural Survey Methods. Agricultural Survey Methods 193 211 .
A. G. T. Schut, D. J. Stephens, R. G. H. Stovold, M. Adams & R. L. Craig. (2009) Improved wheat yield and production forecasting with a moisture stress index, AVHRR and MODIS data. Crop and Pasture Science 60:1, pages 60.
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M. Moriondo, F. Maselli & M. Bindi. (2007) A simple model of regional wheat yield based on NDVI data. European Journal of Agronomy 26:3, pages 266-274.
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Fulu TAO & Masayuki YOKOZAWA. (2005) Risk Analyses of Rice Yield to Seasonal Climate Variability in China. Journal of Agricultural Meteorology 60:5, pages 885-887.
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L. Bruzzone & F. Melgani. (2005) Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data. IEEE Transactions on Geoscience and Remote Sensing 43:1, pages 159-174.
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Liu Liangyun, Wang Jihua, Song Xiaoyu, Li Cunjun, Huang Wenjiang & Zhao Chunjiang. (2004) Study on winter wheat yield estimation model based on NDVI and seedtime. Study on winter wheat yield estimation model based on NDVI and seedtime.
Jihua Wang, Liangyun Liu, Wenjiang Huang & Chunjiang Zhao. (2003) Estimating winter wheat yield from hyperspectral data. Estimating winter wheat yield from hyperspectral data.
C. Brock Porth, Lysa Porth, Wenjun Zhu, Milton S. Boyd, Ken Seng Tan & Kai Liu. (2018) Remote Sensing Applications for Insurance: A Predictive Model for Pasture Yield in the Presence of Systemic Weather. SSRN Electronic Journal.
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