Title :
Statistics of TanDEM-X DSM, coherence and backscatter for the characterization of tropical forest structural configuration
Author :
Elsa Carla De Grandi;Edward T. A. Mitchard;Iain H. Woodhouse;Astrid Verhegghen;Fiona Muirhead
Author_Institution :
University of Edinburgh, School of GeoSciences, Crew Building, King´s Buildings, Alexander Crum, Brown Road, EH9 3JN, United Kingdom
fDate :
7/1/2015 12:00:00 AM
Abstract :
Orbital InSAR is an ideal observation instrument in tropical areas, where optical imagery is hampered by persistent cloud cover. In particular, TanDEM-X provides backscatter, interferometric coherence and digital surface model from phase (DSM) at high spatial resolution (4 m), whose spatial statistics can in principle hold information on forest structure. This information, in turn, could lay the ground to distinguish between naturally occurring forest heterogeneity (e.g. due to the presence of emergent species) and forest disturbance, such as forest degradation (e.g. removal of vegetation) and forest regeneration. The present work investigates by experimental analysis how statistical measures of the spatial random fields (SRF) provided by TanDEM-X InSAR data can be mapped onto properties of the forest spatial structure. The analysis is focused on a case study in the Republic of Congo.
Keywords :
"Coherence","Backscatter","Optical interferometry","Vegetation","Optical imaging","Spatial resolution","Degradation"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326141