APPROACHES FOR LAND COVER MONITORING OVER EUROPE BASED ON BACKSCATTER AND COHERENCE PROPERTIES OF ENVISAT AND ERS SAR DATA

  • Kyriakos Ntouanoglou Hellenic Air Force, Greece
  • Antonios Mouratidis Aristotle University of Thessaloniki, Department of Physical and Environmental Geography, Thessaloníki, Greece
Keywords: Remote sensing, SAR, Classification, Backscatter, Coherence, Land cover

Abstract

The purpose of this study is the exploitation of Synthetic Aperture Radar (SAR) satellite data for land cover monitoring. The properties of the recorded radar data heavily depend on the type of land cover, season and weather conditions. Therefore, it is possible to utilize the variability of these factors, in order to develop various techniques and methodologies that can be used for classifying land surfaces. In this context, this paper proposes approaches, which include the application of mathematical expressions and application of thresholds on multi-temporal data, for recognizing and classifying various types of land cover, on the basis of ERS and Envisat C-band SAR backscatter and coherence properties. These can be useful for any kind of contemporary SAR data, such as those of the current two Sentinel-1 satellites. Although this study focuses on four main land  cover types (urban, mountainous, agricultural-low vegetation and forested areas) over specific areas in Europe,  the same principles can be extended worldwide, leading to useful insights for designing future SAR satellite  missions or for establishing guidelines for in-depth studies of specific land cover types.

Published
2018-12-21
How to Cite
Ntouanoglou, K., & Mouratidis, A. (2018). APPROACHES FOR LAND COVER MONITORING OVER EUROPE BASED ON BACKSCATTER AND COHERENCE PROPERTIES OF ENVISAT AND ERS SAR DATA. AUC Geographica, 53(2), 207-219. https://doi.org/10.14712/23361980.2018.20
Section
Original Articles