Share Email Print
cover

Proceedings Paper • new

UAV data reliability improvements based on multifunctional GCPs
Author(s): J. Alex Thomasson; Xiongzhe Han; Cody Bagnall; Chao Sima; Yeyin Shi; William Rooney; Chenghai Yang; Jinha Jung; Anjin Chang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Commercial off-the shelf systems of UAVs and sensors are touted as being able to collect remote-sensing data on crops that include spectral reflectance and plant height. Historically a great deal of effort has gone into quantifying and reducing the error levels in the geometry of UAV-based orthomosaics, but little effort has gone into quantifying and reducing the error of the reflectance and plant-height. We have been developing systems and protocols involving multifunctional ground-control points (GCPs) in order to produce crop phenotypic data that are as repeatable as possible. These multifunctional GCPs aid not only geometric correction, but also image calibration of reflectance and plantheight. The GCPs have known spectral-reflectance characteristics that are used to enable reference-based digital numberto-reflectance calibration of multispectral images. They also have known platform heights that are used to enable reference-based digital surface model-to-height maps. Results show that using these GCPs for reflectance and plantheight calibrations significantly reduces the error levels in reflectance (ca. 50% reduction) and plant-height (ca. 20% reduction) measurements.

Paper Details

Date Published: 7 June 2019
PDF: 9 pages
Proc. SPIE 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 110080A (7 June 2019); doi: 10.1117/12.2518541
Show Author Affiliations
J. Alex Thomasson, Texas A&M Univ. (United States)
Xiongzhe Han, Texas A&M Univ. (United States)
Cody Bagnall, Texas A&M Univ. (United States)
Chao Sima, Texas A&M Univ. (United States)
Yeyin Shi, Univ. of Nebraska-Lincoln (United States)
William Rooney, Texas A&M Univ. (United States)
Chenghai Yang, Agricultural Research Service (United States)
Jinha Jung, Texas A&M Univ. (United States)
Anjin Chang, Texas A&M Univ. Corpus Christi (United States)


Published in SPIE Proceedings Vol. 11008:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV
J. Alex Thomasson; Mac McKee; Robert J. Moorhead, Editor(s)

© SPIE. Terms of Use
Back to Top