Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/8752
Title: | Extended-altitude, aerial mapping of crop NDVI using an active optical sensor: A case study using a Raptor™ sensor over wheat | Contributor(s): | Lamb, David (author); Schneider, Derek (author) ; Trotter, Mark (author); Schaefer, Michael Thomas (author); Yule, IJ (author) | Publication Date: | 2011 | DOI: | 10.1016/j.compag.2011.03.009 | Handle Link: | https://hdl.handle.net/1959.11/8752 | Abstract: | Recently reported testing of active, optical crop sensors in low-level aircraft have demonstrated a new class of airborne sensing system that can be deployed under any ambient illumination conditions, including at night. A second-generation, high-powered, light-emitting diode system has been assembled and tested over a 80 ha field of wheat ('Triticum aestevum') by mapping the normalised difference vegetation index (NDVI) at altitudes ranging from 15 to 45 m above the canopy; significantly higher altitudes than existing systems. Comparisons with a detailed on-ground NDVI survey indicated the aerial sensor values were highly correlated to the on-ground sensor (0.79 < R² < 0.85), with close to unity slope and zero offset. The maximum average deviation between aerial and on-ground NDVI values was 0.04. Sample calculations involving two exemplar algorithms, one for estimating monoculture pasture biomass and the other for estimating wheat yield, indicate such deviations to have no significant effect on prediction accuracy. The subsequent NDVI maps proved to be invariant to sensor height over the 15-45 m altitude range meaning this new sensor configuration can be deployed over undulating crops and pastures and in areas with nearby obstacles such as trees and buildings. | Publication Type: | Journal Article | Source of Publication: | Computers and Electronics in Agriculture, 77(1), p. 69-73 | Publisher: | Elsevier BV | Place of Publication: | Netherlands | ISSN: | 1872-7107 0168-1699 |
Fields of Research (FoR) 2008: | 070304 Crop and Pasture Biomass and Bioproducts 070104 Agricultural Spatial Analysis and Modelling |
Socio-Economic Objective (SEO) 2008: | 820507 Wheat | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Science and Technology |
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