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Original Articles

The early explanatory power of NDVI in crop yield modelling

, &
Pages 2211-2225 | Received 14 Sep 2006, Accepted 29 Mar 2007, Published online: 25 Mar 2008

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Crossref
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Crossref
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Crossref
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Crossref
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Crossref
Yuki Hamada, Herbert Ssegane & Maria Negri. (2015) Mapping Intra-Field Yield Variation Using High Resolution Satellite Imagery to Integrate Bioenergy and Environmental Stewardship in an Agricultural Watershed. Remote Sensing 7:8, pages 9753-9768.
Crossref
Raúl López-Lozano, Gregory Duveiller, Lorenzo Seguini, Michele Meroni, Sara García-Condado, Josh Hooker, Olivier Leo & Bettina Baruth. (2015) Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level. Agricultural and Forest Meteorology 206, pages 12-32.
Crossref
Caio C. de Araujo Barbosa, Peter M. Atkinson & John A. Dearing. (2015) Remote sensing of ecosystem services: A systematic review. Ecological Indicators 52, pages 430-443.
Crossref
Laigang Wang, Yongchao Tian, Xia Yao, Yan Zhu & Weixing Cao. (2014) Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images. Field Crops Research 164, pages 178-188.
Crossref
M.E. Holzman, R. Rivas & M.C. Piccolo. (2014) Estimating soil moisture and the relationship with crop yield using surface temperature and vegetation index. International Journal of Applied Earth Observation and Geoinformation 28, pages 181-192.
Crossref
David M. Johnson. (2014) An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States. Remote Sensing of Environment 141, pages 116-128.
Crossref
Syeda Refat Sultana, Amjed Ali, Ashfaq Ahmad, Muhammad Mubeen, M. Zia-Ul-Haq, Shakeel Ahmad, Sezai Ercisli & Hawa Z. E. Jaafar. (2014) Normalized Difference Vegetation Index as a Tool for Wheat Yield Estimation: A Case Study from Faisalabad, Pakistan. The Scientific World Journal 2014, pages 1-8.
Crossref
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.
Crossref
Gustavo H. Dalposso, Miguel A. Uribe-Opazo, Erivelto Mercante & Rubens A. C. Lamparelli. (2013) Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season. Engenharia Agrícola 33:3, pages 525-537.
Crossref
Douglas K. Bolton & Mark A. Friedl. (2013) Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics. Agricultural and Forest Meteorology 173, pages 74-84.
Crossref
Stein I. Øvergaard, Tomas Isaksson & Audun Korsaeth. (2013) Prediction of Wheat Yield and Protein Using Remote Sensors on Plots—Part I: Assessing near Infrared Model Robustness for Year and Site Variations. Journal of Near Infrared Spectroscopy 21:2, pages 117-131.
Crossref
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.
Crossref
Y.P. Dang, M.J. Pringle, M. Schmidt, R.C. Dalal & A. Apan. (2011) Identifying the spatial variability of soil constraints using multi-year remote sensing. Field Crops Research 123:3, pages 248-258.
Crossref
M.S. Mkhabela, P. Bullock, S. Raj, S. Wang & Y. Yang. (2011) Crop yield forecasting on the Canadian Prairies using MODIS NDVI data. Agricultural and Forest Meteorology 151:3, pages 385-393.
Crossref
Stein Ivar Øvergaard, Tomas Isaksson, Knut Kvaal & Audun Korsaeth. (2010) Comparisons of Two Hand-Held, Multispectral Field Radiometers and a Hyperspectral Airborne Imager in Terms of Predicting Spring Wheat Grain Yield and Quality by Means of Powered Partial Least Squares Regression. Journal of Near Infrared Spectroscopy 18:4, pages 247-261.
Crossref
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.
Crossref
Javier Gallego, Elisabetta Carfagna & Bettina Baruth. 2010. Agricultural Survey Methods. Agricultural Survey Methods 193 211 .
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.
Crossref

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