Universität zu Köln

Bareth, Georg, Bendig, Juliane ORCID: 0000-0002-6454-5654, Tilly, Nora ORCID: 0000-0002-2978-6188, Hoffmeister, Dirk ORCID: 0000-0002-8178-557X, Aasen, Helge ORCID: 0000-0003-4343-0476 and Bolten, Andreas ORCID: 0000-0003-1287-9705 (2016). A Comparison of UAV- and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMs). Photogramm. Fernerkund. Geoinf. (2). S. 85 - 95. STUTTGART: E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG. ISSN 2363-7145

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Abstract

Multi-temporal crop surface models (CSMs) are a reliable method for agricultural crop monitoring. They provide 3-dimensional representations of crop canopies, preferably available as a multi-temporal dataset. From the CSMs the spatial distribution of plant height can be derived. The data for the CSMs are captured by remote sensing methods including terrestrial laser scanning (TLS) and imagery from unmanned aerial vehicles (UAVs) combined with computer vision techniques. Previous studies underlined the suitability of both methods. However, it remained an open question if both methods provide actually comparable information. We assume that the differing viewing angles of both sensors influence the resulting CSM and that the UAV-based CSMs contain crop density information due to the nadir sensor position. Therefore, we expect a lower mean plant height and higher variation in the UAV-based CSM. The correlation between plant heights from both methods was analyzed and complemented by using polygon grids for spatial analysis. The polygon grids provide descriptive statistics for each raster cell by zonal statistics to investigate the data's potential as a density measure. Through this analysis it is possible to maximize the extraction of spatial information for larger grid cells though it is not comparable to standard resampling methods. We analyzed CSMs at early, middle, and late growth stages from a barley experiment field and found a high correlation (R-2 = 0.91) in plant height derived from both methods. The UAV-derived plant height was generally lower than the TLS-derived plant height at all growth stages. However, contrary to the expectations the coefficient of variation was higher in the TLS data set.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Bareth, Georg UNSPECIFIED UNSPECIFIED UNSPECIFIED Bendig, Juliane UNSPECIFIED orcid.org/0000-0002-6454-5654 UNSPECIFIED Tilly, Nora UNSPECIFIED orcid.org/0000-0002-2978-6188 UNSPECIFIED Hoffmeister, Dirk UNSPECIFIED orcid.org/0000-0002-8178-557X UNSPECIFIED Aasen, Helge UNSPECIFIED orcid.org/0000-0003-4343-0476 UNSPECIFIED Bolten, Andreas UNSPECIFIED orcid.org/0000-0003-1287-9705 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-293311
DOI:	10.1127/pfg/2016/0289
Journal or Publication Title:	Photogramm. Fernerkund. Geoinf.
Number:	2
Page Range:	S. 85 - 95
Date:	2016
Publisher:	E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
Place of Publication:	STUTTGART
ISSN:	2363-7145
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Geographisches Institut
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language VEGETATION INDEXES; ESTIMATING BIOMASS; GROWTH-RATE; DRY-WEIGHT; REFLECTANCE; DENSITY; STAND Multiple languages Remote Sensing; Imaging Science & Photographic Technology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/29331