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Titel:

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Bendig, Juliane; Yu, Kang; Aasen, Helge; Bolten, Andreas; Bennertz, Simon; Broscheit, Janis; Gnyp, Martin L.; Bareth, Georg
Abstract:
In this study we combined selected vegetation indices (VIs) and plant height information to estimate biomass in a summer barley experiment. The VIs were calculated from ground-based hyperspectral data and unmanned aerial vehicle (UAV)-based red green blue (RGB) imaging. In addition, the plant height information was obtained from UAV-based multi-temporal crop surface models (CSMs). The test site is a summer barley experiment comprising 18 cultivars and two nitrogen treatments located in Western G...     »
Zeitschriftentitel:
International Journal of Applied Earth Observation and Geoinformation
Jahr:
2015
Band / Volume:
39
Seitenangaben Beitrag:
79-87
Volltext / DOI:
doi:10.1016/j.jag.2015.02.012
Verlag / Institution:
Elsevier BV
E-ISSN:
1569-8432
Publikationsdatum:
01.07.2015
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