Land surface satellite time series can be interpreted as the output of a dynamical system which generates a process of interest. In this research, the qualitative theory of dynamical systems is applied to understand seasonal time series, which correspond, respectively, to spectral indexes and to the reflectance of single wavelengths from Alpine areas affected by wildfire.
DI MAURO, B., Crosta, G., Fava, F., Busetto, L., Colombo, R. (2013). A Dynamical System Perspective of Multi-temporal Remote Sensing: Analysis of MODIS Spectral Index Time Series from Forest Wildfires. In PIERS PROCEEDINGS - Progress In Electromagnetics Research Symposium (pp.1451-1451). Cambridge, MA 02138 : The Electromagnetics Academy.
A Dynamical System Perspective of Multi-temporal Remote Sensing: Analysis of MODIS Spectral Index Time Series from Forest Wildfires
DI MAURO, BIAGIO;CROSTA, GIOVANNI FRANCO FILIPPO;FAVA, FRANCESCO PIETRO;BUSETTO, LORENZO;COLOMBO, ROBERTO
2013
Abstract
Land surface satellite time series can be interpreted as the output of a dynamical system which generates a process of interest. In this research, the qualitative theory of dynamical systems is applied to understand seasonal time series, which correspond, respectively, to spectral indexes and to the reflectance of single wavelengths from Alpine areas affected by wildfire.
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