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)orcid ; 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: The Netherlands
ISSN: 1872-7107
0168-1699
Field of Research (FOR): 070304 Crop and Pasture Biomass and Bioproducts
070104 Agricultural Spatial Analysis and Modelling
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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