Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands

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.

[1]  Heather McNairn,et al.  Evaluating the Cloude–Pottier and Freeman–Durden scattering decompositions for distinguishing between unharvested and post-harvest agricultural fields , 2013 .

[2]  H.W.J. van Kasteren,et al.  Ground-based X-band (3-cm wave) radar backscattering of agricultural crops. II. Wheat, barley, and oats; the impact of canopy structure , 1990 .

[3]  Mehrez Zribi,et al.  Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data , 2014, Remote. Sens..

[4]  Nicolas Baghdadi,et al.  Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island , 2009 .

[5]  T. Sakamoto,et al.  A crop phenology detection method using time-series MODIS data , 2005 .

[6]  Howard A. Zebker,et al.  Decorrelation in interferometric radar echoes , 1992, IEEE Trans. Geosci. Remote. Sens..

[7]  Paris W. Vachon,et al.  Coherence estimation for SAR imagery , 1999, IEEE Trans. Geosci. Remote. Sens..

[8]  Stephen James Ormerod,et al.  Grasslands, grazing and biodiversity: editors’ introduction , 2001 .

[9]  Paul Siqueira,et al.  A survey of temporal decorrelation from spaceborne L-Band repeat-pass InSAR , 2011 .

[10]  Jaan Praks,et al.  Monitoring of Agricultural Grasslands With Time Series of X-Band Repeat-Pass Interferometric SAR , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[11]  Lars M. H. Ulander,et al.  C-band repeat-pass interferometric SAR observations of the forest , 1997, IEEE Trans. Geosci. Remote. Sens..

[12]  Jaan Praks,et al.  Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[13]  A. Hopkins,et al.  Grassland for agriculture and nature conservation: production, quality and multi-functionality. , 2006 .

[14]  A. Gibon Managing grassland for production, the environment and the landscape. Challenges at the farm and the landscape level , 2005 .

[15]  A. Lopes,et al.  Temporal Variations of Interferometric Coherence over a Deciduous Forest , 2000 .

[16]  Thomas Pfaff,et al.  Technical Note: An open source library for processing weather radar data (wradlib) , 2012 .

[17]  Tohru Nakajima,et al.  Estimating Tree Growth Using Crown Metrics Derived from LiDAR Data , 2016, Journal of the Indian Society of Remote Sensing.

[18]  Maurizio Santoro,et al.  Multitemporal repeat pass SAR interferometry of boreal forests , 2003, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Michele Meroni,et al.  Remote Sensing Based Yield Estimation in a Stochastic Framework - Case Study of Durum Wheat in Tunisia , 2013, Remote. Sens..

[20]  Maosheng Zhao,et al.  Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .

[21]  Michael Eineder,et al.  Interferometric Processing of Sentinel-1 TOPS Data , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Frank Ewert,et al.  Spatial distribution of grassland productivity and land use in Europe , 2008 .

[23]  Chunjiang Zhao,et al.  Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery , 2015 .

[24]  Urs Wegmüller,et al.  Retrieval of vegetation parameters with SAR interferometry , 1997, IEEE Trans. Geosci. Remote. Sens..

[25]  Samuel Corgne,et al.  Combined Use of Multi-Temporal Optical and Radar Satellite Images for Grassland Monitoring , 2014, Remote. Sens..

[26]  Urs Wegmüller,et al.  SAR interferometric signatures of forest , 1995, IEEE Trans. Geosci. Remote. Sens..

[27]  D. Fuller,et al.  Trends in NDVI time series and their relation to rangeland and crop production in Senegal, 1987-1993 , 1998 .

[28]  K. Moffett,et al.  Remote Sens , 2015 .

[29]  Alexis Berne,et al.  Toward an error model for radar quantitative precipitation estimation in the Cevennes-Vivarais region, France ERAD 2006 , 2010 .

[30]  Christopher O. Justice,et al.  Cloud cover throughout the agricultural growing season: Impacts on passive optical earth observations , 2015 .

[31]  John Gray,et al.  The Common Agricultural Policy and the Re‐Invention of the Rural in the European Community , 2000 .

[32]  R. Hanssen Radar Interferometry: Data Interpretation and Error Analysis , 2001 .

[33]  Urs Wegmüller,et al.  Signatures of ERS–Envisat Interferometric SAR Coherence and Phase of Short Vegetation: An Analysis in the Case of Maize Fields , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[34]  M. S. Moran,et al.  Opportunities and limitations for image-based remote sensing in precision crop management , 1997 .

[35]  Xin Wang,et al.  Pasture Monitoring Using SAR with COSMO-SkyMed, ENVISAT ASAR, and ALOS PALSAR in Otway, Australia , 2013, Remote. Sens..

[36]  Åke Sivertun,et al.  Vegetation structure determination using LIDAR data and the forest growth parameters , 2016 .

[37]  Maurizio Santoro,et al.  Stem volume retrieval in boreal forests from ERS-1/2 interferometry , 2002 .

[38]  A. Bondeau,et al.  Combining agricultural crop models and satellite observations: from field to regional scales , 1998 .

[39]  Irena Hajnsek,et al.  Observations of Cutting Practices in Agricultural Grasslands Using Polarimetric SAR , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[40]  R. Bamler,et al.  Phase statistics of interferograms with applications to synthetic aperture radar. , 1994, Applied optics.

[41]  John D. Hunter,et al.  Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.

[42]  Irena Hajnsek,et al.  Towards a detection of grassland cutting practices with dual polarimetric TerraSAR-X data , 2013 .