Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery

Abstract. Dynamic mapping and monitoring of crop harvest on a large spatial scale will provide critical information for the formulation of optimal harvesting strategies. This study evaluates the feasibility of C-band polarimetric synthetic aperture radar (PolSAR) for monitoring the harvesting progress of oilseed rape (Brassica napus L.) fields. Five multitemporal, quad-pol Radarsat-2 images and one optical ZY-1 02C image were acquired over a farmland area in China during the 2013 growing season. Typical polarimetric signatures were obtained relying on polarimetric decomposition methods. Temporal evolutions of these signatures of harvested fields were compared with the ones of unharvested fields in the context of the entire growing cycle. Significant sensitivity was observed between the specific polarimetric parameters and the harvest status of oilseed rape fields. Based on this sensitivity, a new method that integrates two polarimetric features was devised to detect the harvest status of oilseed rape fields using a single image. The validation results are encouraging even for the harvested fields covered with high residues. This research demonstrates the capability of PolSAR remote sensing in crop harvest monitoring, which is a step toward more complex applications of PolSAR data in precision agriculture.

[1]  Amine Merzouki,et al.  Sensitivity of C-band SAR polarimetric variables to unvegetated agricultural fields , 2013 .

[2]  Nicolas Baghdadi,et al.  Multitemporal Observations of Sugarcane by TerraSAR-X Images , 2010, Sensors.

[3]  Sina Taghvakish Refined Freeman-Durden for harvest detection using POLSAR data , 2012 .

[4]  Lingli Zhao,et al.  Characteristics Analysis and Classification of Crop Harvest Patterns by Exploiting High-Frequency MultiPolarization SAR Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

[6]  Eric Pottier,et al.  Geocoding of polarimetric processing results: Alternative processing strategies , 2013 .

[7]  Yongwei Sheng,et al.  Automated georeferencing and orthorectification of Amazon basin-wide SAR mosaics using SRTM DEM data , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Heather McNairn,et al.  Multiyear Crop Monitoring Using Polarimetric RADARSAT-2 Data , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[9]  X. Tian,et al.  SUPERVISED WISHART CLASSIFIER FOR RICE MAPPING USING MULTI-TEMPORAL ENVISAT ASAR APS DATA , 2007 .

[10]  Hui Lin,et al.  Application of ENVISAT ASAR Data in Mapping Rice Crop Growth in Southern China , 2007, IEEE Geoscience and Remote Sensing Letters.

[11]  Irena Hajnsek,et al.  First Results of Rice Monitoring Practices in Spain by Means of Time Series of TerraSAR-X Dual-Pol Images , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[12]  E. Pottier,et al.  Polarimetric Radar Imaging: From Basics to Applications , 2009 .

[13]  Thuy Le Toan,et al.  Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results , 1997, IEEE Trans. Geosci. Remote. Sens..

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

[15]  M. Kudrat,et al.  Digital Remote Sensing , 1998 .

[16]  Heather McNairn,et al.  The sensitivity of RADARSAT-2 polarimetric SAR data to corn and soybean leaf area index , 2011 .

[17]  Eric Pottier,et al.  An entropy based classification scheme for land applications of polarimetric SAR , 1997, IEEE Trans. Geosci. Remote. Sens..

[18]  Stefano Pignatti,et al.  Wheat lodging monitoring using polarimetric index from RADARSAT-2 data , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[19]  Stephen L. Durden,et al.  A three-component scattering model for polarimetric SAR data , 1998, IEEE Trans. Geosci. Remote. Sens..

[20]  A. Bégué,et al.  Integrating SPOT-5 time series, crop growth modeling and expert knowledge for monitoring agricultural practices — The case of sugarcane harvest on Reunion Island , 2009 .

[21]  Christoph Hütt,et al.  Rice monitoring with multi-temporal and dual-polarimetric TerraSAR-X data , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[22]  S. Cloude Polarisation: Applications in Remote Sensing , 2009 .

[23]  Seiho Uratsuka,et al.  Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables , 2002 .

[24]  Hao Yang,et al.  Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring , 2014, Remote. Sens..