Title
Creating multi-sensor time series using data from Landsat-5 TM and Landsat-7 ETM+ to characterise vegetation dynamics
Abstract
The Landsat series of satellites provide the longest contiguous earth observation record of the Earth's surface. This provides the unique capacity to track changes in vegetation over multiple decades. This paper illustrates how standardized Landsat data can be combined to create a time series of sensor independent observations. The impact of side-lap and cloud frequency on observation frequency are also examined with reference to two adjacent path/rows of data in southern Australia. The generation of Landsat scale time series provides the opportunity to track both subtle and dramatic changes in vegetation cover in much higher levels of detail than previously possible. However the approach presents new challenges associated with developing time series analysis techniques to characterize time series that have uncertain observation frequencies.
Year
DOI
Venue
2013
10.1109/IGARSS.2013.6721321
IGARSS
Keywords
Field
DocType
earth surface,remote sensing,southern australia,multisensor time series,landsat-5 tm,sensor independent observations,cloud frequency,standardized landsat data,landsat-7 etm+,landsat scale time series,time series analysis techniques,vegetation cover,vegetation dynamics,time series,vegetation,landsat,time measurement,earth,sensors,satellites
Time series,Earth remote sensing,Satellite,Vegetation,Computer science,Remote sensing,Normalized Difference Vegetation Index,Earth observation,Vegetation dynamics,Vegetation cover
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4799-1114-1
0
PageRank 
References 
Authors
0.34
2
6
Name
Order
Citations
PageRank
Leo Lymburner19114.23
Alexis McIntyre211.06
Fuqin Li3477.80
Alex Ip4152.57
Medhavy Thankappan5143.15
Joshua Sixsmith611.04