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Xiao Fu, Guannan Zhao, Weicheng Wu, Bin Xu, Jie Li, Xiaoting Zhou, Xinxin Ke, Yuan Li, Wenjing Li, Cuimin Zhou, Jingheng Jiang, Ming Zhang, Yixuan Liu & Qihong Tu. (2022) Assessing the impacts of natural disasters on rice production in Jiangxi, China. International Journal of Remote Sensing 43:5, pages 1919-1941.
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Marilyn Dalen, Brenda Tubana, Yumiko Kanke & Collins Kimbeng. (2020) Relationship of red and red-edge reflectance-based vegetation indices with stalk and fiber yield of energy cane harvested at different dates. Archives of Agronomy and Soil Science 66:13, pages 1888-1907.
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Nguyen-Thanh Son, Chi-Farn Chen, Cheng-Ru Chen, Horng-Yuh Guo, Youg-Sing Cheng, Shu-Ling Chen, Huan-Sheng Lin & Shih-Hsiang Chen. (2020) Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan. International Journal of Remote Sensing 41:20, pages 7868-7888.
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Farai Kuri, Mhosisi Masocha, Amon Murwira & Karin S. Murwira. (2020) Differential impact of remotely sensed dry dekads on maize yield in Zimbabwe. Geocarto International 35:13, pages 1489-1510.
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Saif Alharbi, William R. Raun, Daryl B. Arnall & Hailin Zhang. (2019) Prediction of maize (Zea mays L.) population using normalized-difference vegetative index (NDVI) and coefficient of variation (CV). Journal of Plant Nutrition 42:6, pages 673-679.
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Wenze Yang, Wei Guo & Felix Kogan. (2018) VIIRS-based high resolution spectral vegetation indices for quantitative assessment of vegetation health: second version. International Journal of Remote Sensing 39:21, pages 7417-7436.
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Farai Kuri, Amon Murwira, Karin S. Murwira & Mhosisi Masocha. (2018) Accounting for phenology in maize yield prediction using remotely sensed dry dekads. Geocarto International 33:7, pages 723-736.
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Felix Kogan, Wei Guo & Wenze Yang. (2017) SNPP/VIIRS vegetation health to assess 500 California drought. Geomatics, Natural Hazards and Risk 8:2, pages 1383-1395.
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Walter Chivasa, Onisimo Mutanga & Chandrashekhar Biradar. (2017) Application of remote sensing in estimating maize grain yield in heterogeneous African agricultural landscapes: a review. International Journal of Remote Sensing 38:23, pages 6816-6845.
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Péter Bognár, Anikó Kern, Szilárd Pásztor, János Lichtenberger, Dávid Koronczay & Csaba Ferencz. (2017) Yield estimation and forecasting for winter wheat in Hungary using time series of MODIS data. International Journal of Remote Sensing 38:11, pages 3394-3414.
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Jing Huang & Dawei Han. (2014) Meta-analysis of influential factors on crop yield estimation by remote sensing. International Journal of Remote Sensing 35:6, pages 2267-2295.
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Nan An, KevinP. Price & JohnM. Blair. (2013) Estimating above-ground net primary productivity of the tallgrass prairie ecosystem of the Central Great Plains using AVHRR NDVI. International Journal of Remote Sensing 34:11, pages 3717-3735.
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Felix Kogan, Luis Salazar & Leonid Roytman. (2012) Forecasting crop production using satellite-based vegetation health indices in Kansas, USA. International Journal of Remote Sensing 33:9, pages 2798-2814.
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Chunjiang Zhao, Yansong Bao, Maosi Cheng, Wenjiang Huang & Liangyun Liu. (2012) Use of Landsat TM and EOS MODIS imaging technologies for estimation of winter wheat yield in the North China Plain. International Journal of Remote Sensing 33:4, pages 1029-1041.
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J. C. D. M. Esquerdo, J. Zullo Júnior & J. F. G. Antunes. (2011) Use of NDVI/AVHRR time-series profiles for soybean crop monitoring in Brazil. International Journal of Remote Sensing 32:13, pages 3711-3727.
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Weimin Ju, Ping Gao, Yanlian Zhou, Jing M. Chen, Shu Chen & Xianfeng Li. (2010) Prediction of summer grain crop yield with a process-based ecosystem model and remote sensing data for the northern area of the Jiangsu Province, China. International Journal of Remote Sensing 31:6, pages 1573-1587.
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Chaitali Sarkar, BimalK. Bhattacharya, Alaka Gadgil, Kanishka Mallick, N. K. Patel & J. S. Parihar. (2008) Estimation of relative evapotranspiration from NOAA PAL to derive growth characteristics in India. International Journal of Remote Sensing 29:11, pages 3271-3293.
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Xikang Chen, Ju-E Guo & Cuihong Yang. (2008) Yearly Grain Output Predictions in China 1980–2004. Economic Systems Research 20:2, pages 139-150.
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L. Salazar, F. Kogan & L. Roytman. (2008) Using vegetation health indices and partial least squares method for estimation of corn yield. International Journal of Remote Sensing 29:1, pages 175-189.
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JesslynF. Brown, BrianD. Wardlow, Tsegaye Tadesse, MichaelJ. Hayes & BradleyC. Reed. (2008) The Vegetation Drought Response Index (VegDRI): A New Integrated Approach for Monitoring Drought Stress in Vegetation. GIScience & Remote Sensing 45:1, pages 16-46.
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L. Salazar, F. Kogan & L. Roytman. (2007) Use of remote sensing data for estimation of winter wheat yield in the United States. International Journal of Remote Sensing 28:17, pages 3795-3811.
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JohnD. All & StephenR. Yool. (2004) Indexing Endangered Species Risk in the Colorado River Delta, Mexico Using AVHRR NDVI Time Series Data. Geocarto International 19:4, pages 5-13.
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J. Wang, P. M. Rich, K. P. Price & W. D. Kettle. (2004) Relations between NDVI and tree productivity in the central Great Plains
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A. Knudby. (2004) An AVHRR-based model of groundnut yields in the Peanut Basin of Senegal
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C. Domenikiotis$suffix/text()$suffix/text(), M. Spiliotopoulos, E. Tsiros & N. R. Dalezios. (2004) Early cotton yield assessment by the use of the NOAA/AVHRR derived
Vegetation Condition Index (VCI) in Greece
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D. Jiang$suffix/text()$suffix/text(), X. Yang, N. Clinton & N. Wang. (2004) An artificial neural network model for estimating crop yields using remotely sensed information
. International Journal of Remote Sensing 25:9, pages 1723-1732.
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Jesús Soria-Ruíz & Yolanda Fernández-Ordoñez. (2003) Prediction of Corn Yield in Mexico Using Vegetation Indices from NOAA‐AVHRR Satellite Images and Degree‐days. Geocarto International 18:4, pages 33-42.
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Carlo Bozzini & Fabio Maselli. (2002) Analysis of Multitemporal NDVI Data for Crop Yield Forecasting in the Sahel. Geocarto International 17:1, pages 53-60.
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C. Lim & M. Kafatos. (2002) Frequency analysis of natural vegetation distribution using NDVI/AVHRR data from 1981 to 2000 for North America: Correlations with SOI. International Journal of Remote Sensing 23:17, pages 3347-3383.
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W. T. Liu & F. Kogan. (2002) Monitoring Brazilian soybean production using NOAA/AVHRR based vegetation condition indices. International Journal of Remote Sensing 23:6, pages 1161-1179.
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