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Remote Sens. 2016, 8(10), 802; doi:10.3390/rs8100802

Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

1
Department of Geography, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia
2
KappaZeta Ltd., Mäeallika, 71508 Suure-Jaani, Estonia
3
Department of Remote Sensing, Tartu Observatory, 61602 Tõravere, Estonia
4
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, S-223 62 Lund, Sweden
5
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
View Full-Text   |   Download PDF [6828 KB, uploaded 27 September 2016]   |  

Abstract

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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MDPI and ACS Style

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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