Geographic information system (GIS)-aided per-segment scene analysis of multitemporal spaceborne synthetic aperture radar (SAR) series with application to urban areas

Abstract

It is well known that multi-temporal series of synthetic aperture radar (SAR) data are able to provide interesting clues about temporal evolution of some land covers. In this work, a per-segment approach based on the use of ancillary geographic information system data is proposed. The results of a test case show the effectiveness of the technique and its usefulness for quickly detecting changes from rural to urban land uses and discriminating to some extent different urban dynamics.

Acknowledgments

The dataset used in this work was kindly provided by Telerilevamento Europa (TRE), Milan, Italy. The authors acknowledge the help of the whole TRE team and their great support in working on these data. This work was partly funded by ESA.