The use of qualitative airborne multispectral imaging for managing agricultural crops : a case study in south-eastern australia

By D. Lamb. 2000

84 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/27988b1b7299cd02eb4548f7b877bb883c4cfc90

How researchers see this paper

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In Ecology

1. Werner B. Herppich
2. Elke Bauriegel

Citations in the corpus

• Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves (2008, background): “Reflectance sensors generally fall into two classes; hyperspectral sensors which collect spectral reflectance data in many wavebands (typically greater than 10) and multispectral sensors which tend to collect less wavebands (typically 2–10) (Lamb 2000).”
• Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application (2009, unknown): “…(DMSV) remote sensing, which offers higher spatial resolution than commercially available satellite imagery, with the most common commercial application being the use of 50-cm imagery (Lamb 2000; Hall et al. 2002; Bramley et al. 2005b) that grape growers can purchase for approximately A$30/ha.”