Low, Johannes; Conrad, Christopher; Hill, Steven; Thiel, Michael; Ullmann, Tobias; Otte, Insa A novel approach to assessing the tracking accuracy of crop phenology for multi-orbit and multi-feature Sentinel-1 time series Journal Article In: SCIENCE OF REMOTE SENSING, vol. 13, 2026, ISSN: 2666-0172. @article{WOS:001673578400001,
title = {A novel approach to assessing the tracking accuracy of crop phenology for multi-orbit and multi-feature Sentinel-1 time series},
author = {Johannes Low and Christopher Conrad and Steven Hill and Michael Thiel and Tobias Ullmann and Insa Otte},
doi = {10.1016/j.srs.2026.100370},
issn = {2666-0172},
year = {2026},
date = {2026-06-01},
urldate = {2026-06-01},
journal = {SCIENCE OF REMOTE SENSING},
volume = {13},
keywords = {Canola, DEMMIN, DiP-ZAZIkI, InSAR coherence, Phenology, Sugar beet, Wheat},
pubstate = {published},
tppubtype = {article}
}
|
Plutenko, Iaroslav; Radchuk, Volodymyr; Mayer, Simon; Keil, Peter; Ortleb, Stefan; Wagner, Steffen; Lehmann, Volker; Rolletschek, Hardy; Borisjuk, Ljudmilla MRI-Seed-Wizard: combining deep learning algorithms with magnetic resonance imaging enables advanced seed phenotyping Journal Article In: JOURNAL OF EXPERIMENTAL BOTANY, vol. 76, no. 2, pp. 393-410, 2024, ISSN: 0022-0957. @article{WOS:001337849500001,
title = {MRI-Seed-Wizard: combining deep learning algorithms with magnetic resonance imaging enables advanced seed phenotyping},
author = {Iaroslav Plutenko and Volodymyr Radchuk and Simon Mayer and Peter Keil and Stefan Ortleb and Steffen Wagner and Volker Lehmann and Hardy Rolletschek and Ljudmilla Borisjuk},
doi = {10.1093/jxb/erae408},
issn = {0022-0957},
year = {2024},
date = {2024-10-01},
urldate = {2024-10-01},
journal = {JOURNAL OF EXPERIMENTAL BOTANY},
volume = {76},
number = {2},
pages = {393-410},
keywords = {Automatic segmentation, Deep learning, DiP-Magdi, Grain phenotyping, Magnetic resonance imaging, Morphometry, Wheat},
pubstate = {published},
tppubtype = {article}
}
|
