Title
Robust Automated Image Co-Registration of Optical Multi-Sensor Time Series Data: Database Generation for Multi-Temporal Landslide Detection
Abstract
Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor time series data characterized by high internal geometric stability, as well as high relative and absolute accuracy. For this purpose, a new methodology for fully automated co-registration has been developed allowing efficient and robust spatial alignment of standard orthorectified data products originating from a multitude of optical satellite remote sensing data of varying spatial resolution. Correlation-based co-registration uses world-wide available terrain corrected Landsat Level 1T time series data as the spatial reference, ensuring global applicability. The developed approach has been applied to a multi-sensor time series of 592 remote sensing datasets covering an approximately 12,000 km(2) area in Southern Kyrgyzstan (Central Asia) strongly affected by landslides. The database contains images acquired during the last 26 years by Landsat (E)TM, ASTER, SPOT and RapidEye sensors. Analysis of the spatial shifts obtained from co-registration has revealed sensor-specific alignments ranging between 5 m and more than 400 m. Overall accuracy assessment of these alignments has resulted in a high relative image-to-image accuracy of 17 m (RMSE) and a high absolute accuracy of 23 m (RMSE) for the whole co-registered database, making it suitable for multi-temporal landslide detection at a regional scale in Southern Kyrgyzstan.
Year
DOI
Venue
2014
10.3390/rs6032572
REMOTE SENSING
Keywords
Field
DocType
Landsat,SPOT,optical satellite data,co-registration,landslide,RapidEye,accuracy,multi-temporal,Kyrgyzstan,ASTER
Aster (genus),Time series,Remote sensing,Terrain,Mean squared error,Ranging,Landslide,Geology,Image resolution,Database,Orthophoto
Journal
Volume
Issue
Citations 
6
3
12
PageRank 
References 
Authors
1.26
10
5
Name
Order
Citations
PageRank
Robert Behling1353.97
Sigrid Roessner2868.28
Karl Segl331539.58
Birgit Kleinschmit413918.20
Hermann Kaufmann517317.15