Volume XLII-4/W18
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W18, 649–653, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W18-649-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W18, 649–653, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W18-649-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  18 Oct 2019

18 Oct 2019

COMPARISON OF DECOMPOSITION METHODS OVER AGRICULTURAL FIELDS USING THE UAVSAR POLARIMETRIC SYNTHETIC APERTURE RADAR

E. Kiana1, S. Homayouni2, M. A. Sharifi1, and M. R. Farid-Rohani3 E. Kiana et al.
  • 1School of Surveying and Geospatial Engineering, Dept. of Remote Sensing, College of Engineering, University of Tehran, Iran
  • 2Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, Quebec, Canada
  • 3Faculty of mathematical Sciences, Dept. of Statistics, Shahid Beheshti University, Iran

Keywords: Biomass, Agricultural fields, Polarimetric decomposition, Ground measurements, UAVSAR

Abstract. This paper investigates and compares the potential of five model-based polarimetric decompositions, namely those developed by Eigenvector-based decomposition (Van Zyl), Model-based decomposition (Freeman-Durden three-component decomposition and Yamaguchi four-component decomposition), An & Yang3 and An & Yang4 for crop biomass detection over agricultural fields covered by various crops. The time series of Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) data and the ground truth of soil and vegetation characteristics collected during the Soil Moisture Active Passive (SMAP) Validation Experiment in 2012 (SMAPVEX12) were used to compare the five decomposition methods with related to the scattering mechanisms and the biomass retrieval performances. The results show that the performance of each decomposition method for biomass retrieval depends on the crop types and the crop phenological stages. Finally, an overall biomass underestimation was observed from the five decompositions, and the highest regression value of 99% was obtained from Freeman decomposition as a result of the enhanced volume scattering. Indeed, Freeman-Durden model provided the best results.