Universität zu Köln

Lussem, Ulrike ORCID: 0000-0002-6810-1997, Bolten, Andreas ORCID: 0000-0003-1287-9705, Kleppert, Ireneusz ORCID: 0009-0000-5061-1262, Jasper, Jörg, Gnyp, Martin Leon ORCID: 0000-0002-5702-4914, Schellberg, Jürgen and Bareth, Georg ORCID: 0000-0003-3692-8655 (2022). Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning. Remote Sensing, 14 (13). p. 3066. MDPI. ISSN 2072-4292

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Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Lussem, Ulrike UNSPECIFIED orcid.org/0000-0002-6810-1997 UNSPECIFIED Bolten, Andreas andreas.bolten@uni-koeln.de orcid.org/0000-0003-1287-9705 UNSPECIFIED Kleppert, Ireneusz UNSPECIFIED orcid.org/0009-0000-5061-1262 UNSPECIFIED Jasper, Jörg UNSPECIFIED UNSPECIFIED UNSPECIFIED Gnyp, Martin Leon UNSPECIFIED orcid.org/0000-0002-5702-4914 UNSPECIFIED Schellberg, Jürgen UNSPECIFIED UNSPECIFIED UNSPECIFIED Bareth, Georg UNSPECIFIED orcid.org/0000-0003-3692-8655 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-755736
DOI:	10.3390/rs14133066
Journal or Publication Title:	Remote Sensing
Volume:	14
Number:	13
Page Range:	p. 3066
Date:	2022
Publisher:	MDPI
ISSN:	2072-4292
Language:	English
Faculty:	Central Institutions / Interdisciplinary Research Centers Faculty of Mathematics and Natural Sciences
Divisions:	Außeruniversitäre Forschungseinrichtungen > Forschungszentrum Jülich Faculty of Mathematics and Natural Sciences > Department of Geosciences > Geographisches Institut
Subjects:	Earth sciences Agriculture
Open access funding:	OAPK DFG 2022-2024
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/75573