Complex land cover classifications and physical properties retrieval of tropical forests using multi-source remote sensing [Elektronische Ressource] / submitted by Arief Wijaya
Complex Land Cover Classifications and Physical Properties Retrieval of Tropical Forests using MultiSource Remote Sensing By the Faculty of Geosciences, Geo‐Engineering and Mining of the Technische Universität Bergakademie Freiberg approved THESIS to attain the academic degree of Doctor rerum naturalium (Dr.rer.nat.) Submitted by MSc Arief Wijaya born on the 24 March 1975 in Jakarta, Indonesia Assessors: Prof. Dr. Lothar Ratschbacher, Freiberg, Germany Prof. Dr. Hermann Heilmeier, Freiberg, Germany Prof. Dr. Totok Gunawan, Yogyakarta, Indonesia Dr. Richard Gloaguen, Freiberg, Germany Dr. Irmgard Niemeyer, Jülich, Germany Date of the award: 30 April 20101 Abstract The work presented in this thesis mainly focuses on two subjects related to the application of remote sensing data: (1) for land cover classification combining optical sensor, texture features generated from spectral information and synthetic aperture radar (SAR) features, and (2) to develop a non‐destructive approach for above ground biomass (AGB) and forest attributes estimation employing multi‐source remote sensing data (i.e. optical data, SAR backscatter) combined with in‐situ data. Information provided by reliable land cover map is useful for management of forest resources to support sustainable forest management, whereas the generation of the non‐destructive approach to model forest biophysical properties (e.