Next Article in Journal
Detection and Tracking of Pedestrians Using Doppler LiDAR
Next Article in Special Issue
Empirical Approach for Modelling Tree Phenology in Mixed Forests Using Remote Sensing
Previous Article in Journal
Global Land Cover Assessment Using Spatial Uniformity Validation Dataset
Previous Article in Special Issue
Start of the Green Season and Normalized Difference Vegetation Index in Alaska’s Arctic National Parks
Article

The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany)

1
Department of Geoecology, Institute of Geosciences and Geography, University of Halle-Wittenberg, 06120 Halle (Saale), Germany
2
Department of Remote Sensing, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany
3
Department of Physical Geography, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Ahmed Laamrani, Abdelghani Chehbouni, Abdelghani Boudhar and Tarik Benabdelouahab
Remote Sens. 2021, 13(15), 2951; https://doi.org/10.3390/rs13152951
Received: 11 June 2021 / Revised: 22 July 2021 / Accepted: 23 July 2021 / Published: 27 July 2021
This study explores the potential of Sentinel-1 Synthetic Aperture Radar (SAR) to identify phenological phases of wheat, sugar beet, and canola. Breakpoint and extreme value analyses were applied to a dense time series of interferometric (InSAR) and polarimetric (PolSAR) features recorded during the growing season of 2017 at the JECAM site DEMMIN (Germany). The analyses of breakpoints and extrema allowed for the distinction of vegetative and reproductive stages for wheat and canola. Certain phenological stages, measured in situ using the BBCH-scale, such as leaf development and rosette growth of sugar beet or stem elongation and ripening of wheat, were detectable by a combination of InSAR coherence, polarimetric Alpha and Entropy, and backscatter (VV/VH). Except for some fringe cases, the temporal difference between in situ observations and breakpoints or extrema ranged from zero to five days. Backscatter produced the signature that generated the most breakpoints and extrema. However, certain micro stadia, such as leaf development of BBCH 10 of sugar beet or flowering BBCH 69 of wheat, were only identifiable by the InSAR coherence and Alpha. Hence, it is concluded that combining PolSAR and InSAR features increases the number of detectable phenological events in the phenological cycles of crops. View Full-Text
Keywords: PolSAR; InSAR; Kennaugh matrix; time series; Sentinel-1; crop phenology; DEMMIN PolSAR; InSAR; Kennaugh matrix; time series; Sentinel-1; crop phenology; DEMMIN
Show Figures

Figure 1

MDPI and ACS Style

Löw, J.; Ullmann, T.; Conrad, C. The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany). Remote Sens. 2021, 13, 2951. https://doi.org/10.3390/rs13152951

AMA Style

Löw J, Ullmann T, Conrad C. The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany). Remote Sensing. 2021; 13(15):2951. https://doi.org/10.3390/rs13152951

Chicago/Turabian Style

Löw, Johannes, Tobias Ullmann, and Christopher Conrad. 2021. "The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany)" Remote Sensing 13, no. 15: 2951. https://doi.org/10.3390/rs13152951

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop