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Remote Sens. 2016, 8(10), 802;

Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

Department of Geography, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia
KappaZeta Ltd., Mäeallika, 71508 Suure-Jaani, Estonia
Department of Remote Sensing, Tartu Observatory, 61602 Tõravere, Estonia
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, S-223 62 Lund, Sweden
Department of Field Crop and Grassland Husbandry, Estonian University of Life Sciences, Kreutzwaldi 1, 51014 Tartu, Estonia
Author to whom correspondence should be addressed.
Academic Editors: James Campbell and Prasad S. Thenkabail
Received: 1 July 2016 / Revised: 25 August 2016 / Accepted: 15 September 2016 / Published: 27 September 2016
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In this study, the interferometric coherence calculated from 12-day Sentinel-1 image pairs was analysed in relation to mowing events on agricultural grasslands. Results showed that after a mowing event, median VH (vertical transmit, horizontal receive) and VV (vertical transmit, vertical receive) polarisation coherence values were statistically significantly higher than those from before the event. The shorter the time interval after the mowing event and the first interferometric acquisition, the higher the coherence. The coherence tended to stay higher, even 24 to 36 days after a mowing event. Precipitation caused the coherence to decrease, impeding the detection of a mowing event. Given the three analysed acquisition geometries, it was concluded that afternoon acquisitions and steeper incidence angles were more useful in the context of this study. In the case of morning acquisitions, dew might have caused a decrease of coherence for mowed and unmowed grasslands. Additionally, an increase of coherence after a mowing event was not evident during the rapid growth phase, due to the 12-day separation between the interferometric acquisitions. In future studies, six-day pairs utilising Sentinel-1A and 1B acquisitions should be considered. View Full-Text
Keywords: synthetic aperture radar; SAR, mowing detection; grasslands; agriculture; interferometric coherence; weather radar; precipitation estimates synthetic aperture radar; SAR, mowing detection; grasslands; agriculture; interferometric coherence; weather radar; precipitation estimates

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Tamm, T.; Zalite, K.; Voormansik, K.; Talgre, L. Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands. Remote Sens. 2016, 8, 802.

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