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

International Journal of Applied Earth Observation and Geoinformation

Volumn 39, Issue , 2015, Pages 79-87

  Bendig, Juliane ^a   Yu, Kang ^a   Aasen, Helge ^a   Bolten, Andreas ^a   Bennertz, Simon ^a   Broscheit, Janis ^a   Gnyp, Martin L ^a,b,c   Bareth, Georg ^a,c  

^a UNIVERSITY OF COLOGNE   (Germany)

^b Yara International ASA   (Germany)

^c CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

GnyLi; Green red vegetation index; NDVI; Point cloud; SAVI; Structure from motion

Indexed keywords

AERIAL PHOTOGRAPH; BARLEY; BIOMASS; HEIGHT; MONITORING SYSTEM; NDVI; NEAR INFRARED; UNMANNED VEHICLE;

GERMANY;

HORDEUM;

EID: 84939454114     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2015.02.012     Document Type: Article

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