Title :
Towards operational forest monitoring using satellite Synthetic Aperture Radar
Author :
Mark L. Williams;Anthony K. Milne;Anthea L. Mitchell
Author_Institution :
Horizon Geoscience Consulting, Sydney, Australia
Abstract :
This paper describes, and illustrates using documented applications, a general framework methodology for wide-area forest and land use mapping and change detection using Synthetic Aperture Radar (SAR) remote sensing. Consideration is given to implementation of the SAR-based methodology using both commercial and free/open-source software. Our experience shows that constructing a complete processing chain requires either a variety of expensive commercial software packages, or recourse to considerable bespoke software development, and in either case yields a fragmented solution not readily accessible to non-experts. It is argued that this poses a barrier to the uptake of satellite SAR by tropical forest countries, preventing them from exploiting a reliable and predictable source of remote sensing data suited to forest monitoring. Construction of a free software tool for use with SAR and other remotely sensed data is considered and it is argued that a single tool encompassing the complete framework methodology is both feasible and desirable.
Keywords :
"Synthetic aperture radar","Software","Monitoring","Training","Remote sensing","Satellites","Accuracy"
Conference_Titel :
Space Science and Communication (IconSpace), 2015 International Conference on
Electronic_ISBN :
2165-431X
DOI :
10.1109/IconSpace.2015.7283790