Title :
Global sensitivity analysis of a morphology based electromagnetic scattering model
Author :
Onur Yuzugullu;Stefano Marelli;Esra Erten;Bruno Sudret;Irena Hajnsek
Author_Institution :
Institute of Environmental Engineering, Chair of Earth Observation and Remote Sensing, ETH Zurich, CH-8093 Zurich, Switzerland
fDate :
7/1/2015 12:00:00 AM
Abstract :
Remote sensing techniques with Synthetic Aperture Radar (SAR) provides detailed information of the electromagnetic scattering behaviour of their targets. It is broadly used for agricultural monitoring due to their all-weather acquisition possibility. Based on the nature of SAR systems, they are known to be sensitive to physical changes in the targets, such as plant growth. An uncertainty analysis for a plant morphology based electromagnetic scattering model is assessed in this study. The global sensitiveness of the model to the input variables are tested with respect to their total Sobol´ indices. This helps to understand the parameters for each growth stage and polarization channel, which can be used to reduce the complexity of the scattering model.
Keywords :
"Analytical models","Scattering","Computational modeling","Synthetic aperture radar","Backscatter","Sensitivity analysis","Agriculture"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326381