DocumentCode
3058652
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
fYear
2013
fDate
21-26 July 2013
Firstpage
1956
Lastpage
1958
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723190
Filename
6723190
Link To Document