Title :
Forest change detection based on GNSS signal strength measurements
Author :
Kegen Yu ; Rizos, Chris ; Dempster, A.G.
Author_Institution :
Australian Centre for Space Eng. Res. (ACSER), Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
This study investigates identifying forest condition changes using Global Navigation Satellite System (GNSS) signal measurements obtained in a recently conducted airborne experiment. Received signal strength (i.e. the peak correlation power) of the reflected signal is used to distinguish ground surfaces or forest conditions from each other. A simple threshold based method is developed to perform the identification of forest condition change. Through processing the logged airborne experimental data, it is observed that GNSS signal power can be used to reliably and accurately identify abnormal conditions in a forest.
Keywords :
geophysical signal processing; satellite navigation; vegetation; vegetation mapping; GNSS signal power; GNSS signal strength measurements; Global Navigation Satellite System signal measurements; airborne experiment; forest condition change detection; ground surfaces; logged airborne experimental data; peak correlation power; reflected signal; threshold based method; Aircraft; Global Positioning System; Reflectivity; Rough surfaces; Satellites; Sea surface; Surface topography; GNSS remote sensing; airborne experiment; forest change detection; received signal strength; threshold based method;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721332
