Universität zu Köln

Tilly, Nora, Aasen, Helge ORCID: 0000-0003-4343-0476 and Bareth, George (2015). Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass. Remote Sens., 7 (9). S. 11449 - 11481. BASEL: MDPI. ISSN 2072-4292

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Abstract

Plant biomass is an important parameter for crop management and yield estimation. However, since biomass cannot be determined non-destructively, other plant parameters are used for estimations. In this study, plant height and hyperspectral data were used for barley biomass estimations with bivariate and multivariate models. During three consecutive growing seasons a terrestrial laser scanner was used to establish crop surface models for a pixel-wise calculation of plant height and manual measurements of plant height confirmed the results (R-2 up to 0.98). Hyperspectral reflectance measurements were conducted with a field spectrometer and used for calculating six vegetation indices (VIs), which have been found to be related to biomass and LAI: GnyLi, NDVI, NRI, RDVI, REIP, and RGBVI. Furthermore, biomass samples were destructively taken on almost the same dates. Linear and exponential biomass regression models (BRMs) were established for evaluating plant height and VIs as estimators of fresh and dry biomass. Each BRM was established for the whole observed period and pre-anthesis, which is important for management decisions. Bivariate BRMs supported plant height as a strong estimator (R-2 up to 0.85), whereas BRMs based on individual VIs showed varying performances (R-2: 0.07-0.87). Fused approaches, where plant height and one VI were used for establishing multivariate BRMs, yielded improvements in some cases (R-2 up to 0.89). Overall, this study reveals the potential of remotely-sensed plant parameters for estimations of barley biomass. Moreover, it is a first step towards the fusion of 3D spatial and spectral measurements for improving non-destructive biomass estimations.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Tilly, Nora UNSPECIFIED UNSPECIFIED UNSPECIFIED Aasen, Helge UNSPECIFIED orcid.org/0000-0003-4343-0476 UNSPECIFIED Bareth, George UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-393704
DOI:	10.3390/rs70911449
Journal or Publication Title:	Remote Sens.
Volume:	7
Number:	9
Page Range:	S. 11449 - 11481
Date:	2015
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	2072-4292
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language CROP SURFACE MODELS; DIFFERENT GROWTH-STAGES; LASER-SCANNING DATA; LEAF-AREA INDEX; MAPPING SYSTEM; GRAIN-YIELD; BROAD-BAND; LIDAR; DENSITY; CANOPY Multiple languages Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/39370