Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data

By L. Galvão, A. Formaggio, Daniela Arnold Tisot. 2005

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Remote Sensing and Cropping Practices: A Review (2018, methodology): “Alternative quantitative approaches have been explored using constrained linear spectral mixture analysis of Hyperion data [136].”
Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application (2009, unknown): “Excellent reviews pertinent to both EM38 and VERIS, albeit with a North American focus, are provided by Corwin and Plant (2005 and references therein), while Gebbers and Lück (2005) provide a useful comparison of the various EM sensing technologies currently being used in Europe.”
View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data (2009, methodology): “This approach was used by Apan et al. (2004) and Galvão et al. (2005) to detect sugarcane disease and to discriminate sugarcane varieties with Hyperion data, respectively.”
Remote sensing imagery in vegetation mapping: a review (2008, methodology): “Hyperspectral data acquired by the Hyperion instrument on board the Earth Observing-1 (EO-1) satellite were evaluated for the discrimination of five important Brazilian sugarcane varieties (Galvâo et al. 2005).”