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International Journal of Remote Sensing Volume 11, 1990 - Issue 10
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Original Articles

The relation between reflected radiation and yield on the Broadbalk winter wheat experiment†

P. M. ASHCROFT Soils Department, AFRC Institute of Arable Crops Research, Rothamsted Experimental Station, Harpenden, Hertfordshire, AL5 2JQ, England
,
J. A. CATT Soils Department, AFRC Institute of Arable Crops Research, Rothamsted Experimental Station, Harpenden, Hertfordshire, AL5 2JQ, England
,
P. J. CURRAN Department of Geography, University of Sheffield, Sheffield, S10 2TN, England
,
J. MUNDEN Soils Department, AFRC Institute of Arable Crops Research, Rothamsted Experimental Station, Harpenden, Hertfordshire, AL5 2JQ, England
&
R. WEBSTER Soils Department, AFRC Institute of Arable Crops Research, Rothamsted Experimental Station, Harpenden, Hertfordshire, AL5 2JQ, England
Pages 1821-1836 | Published online: 27 Apr 2007

Citations (14)

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Read on this site (2)

Paul C. Doraiswamy & Paul W. Cook. (1995) Spring Wheat Yield Assessment Using NOAA AVHRR Data. Canadian Journal of Remote Sensing 21:1, pages 43-51.
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R. MUNDEN, P. J. CURRAN & J. A. CATT. (1994) The relationship between red edge and chlorophyll concentration in the Broadbalk winter wheat experiment at Rothamsted. International Journal of Remote Sensing 15:3, pages 705-709.
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Articles from other publishers (12)

Amritbir Riar & Gurbir S. Bhullar. 2020. Long-Term Farming Systems Research. Long-Term Farming Systems Research 3 12 .
Alfonso de Lara, Louis Longchamps & Raj Khosla. (2019) Soil Water Content and High-Resolution Imagery for Precision Irrigation: Maize Yield. Agronomy 9:4, pages 174.
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Jian-Ou CONG, Ning LI, Ying-Jun XU, Wei GU, Zhang-Yan LE, Shu-Qing HUANG, Bin XI & Yang LEI. (2010) Relationship between indices of growth, physiology and reflectivity and yield of winter wheat under water stress. Chinese Journal of Eco-Agriculture 18:1, pages 67-71.
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Xiaoyu Song, Jihua Wang, Wenjiang Huang, Liangyun Liu, Guangjian Yan & Ruiliang Pu. (2009) The delineation of agricultural management zones with high resolution remotely sensed data. Precision Agriculture 10:6, pages 471-487.
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P. D. Fisher, M. Abuzar, M. A. Rab, F. Best & S. Chandra. (2009) Advances in precision agriculture in south-eastern Australia. I. A regression methodology to simulate spatial variation in cereal yields using farmers' historical paddock yields and normalised difference vegetation index. Crop and Pasture Science 60:9, pages 844.
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Horst Domsch, Michael Heisig & Katrin Witzke. (2008) Estimation of yield zones using aerial images and yield data from a few tracks of a combine harvester. Precision Agriculture 9:5, pages 321-337.
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K. L. Martin, K. Girma, K. W. Freeman, R. K. Teal, B. Tubańa, D. B. Arnall, B. Chung, O. Walsh, J. B. Solie, M. L. Stone & W. R. Raun. (2007) Expression of Variability in Corn as Influenced by Growth Stage Using Optical Sensor Measurements. Agronomy Journal 99:2, pages 384-389.
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María Amparo Gilabert, Soledad Gandía & Joaquín Meliá. (1996) Analyses of spectral-biophysical relationships for a corn canopy. Remote Sensing of Environment 55:1, pages 11-20.
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C. B. Field, J. A. Gamon & J. Peñuelas. 1994. Ecophysiology of Photosynthesis. Ecophysiology of Photosynthesis 511 527 .
F.Mark Danson & Paul J Curran. (1993) Factors affecting the remotely sensed response of coniferous forest plantations. Remote Sensing of Environment 43:1, pages 55-65.
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Paul J Curran, Jennifer L Dungan & Henry L Gholz. (1992) Seasonal LAI in slash pine estimated with landsat TM. Remote Sensing of Environment 39:1, pages 3-13.
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J. G. HANSEN. (2008) Use of multispectral radiometry in wheat yellow rust experiments 1 . EPPO Bulletin 21:3, pages 651-658.
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