Title :
An automated method for normalising large Landsat time series datasets to like values for change detection
Author :
Opie, Kimberley ; Sims, Neil
Author_Institution :
Land & Water, CSIRO, Clayton South, VIC, Australia
Abstract :
The increased availability of Landsat imagery provides the opportunity to monitor changes in the land surface over long time frames. This paper presents an automated method for normalizing satellite images to a calibrated reference image using pseudo invariant features (PIFs). The method is repeatable, objective and fast, and has been used to prepare a large collection of Landsat images for flood inundation detection.
Keywords :
geophysical techniques; remote sensing; Landsat images; Landsat time series datasets; calibrated reference image; change detection; flood inundation detection; land surface; pseudoinvariant features; satellite images; time frames; Brightness; Calibration; Earth; Floods; Remote sensing; Satellites; Time series analysis; Landsat; change detection; normalisation; pseudo-invariant features;
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.2013.6723190
