2016
DOI: 10.3390/rs8110937
|View full text |Cite
|
Sign up to set email alerts
|

Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements

Abstract: Abstract:Because of the advantages of low cost, large coverage and short revisit cycle, Landsat 8 images have been widely applied to monitor earth surface movements. However, there are few systematic studies considering the error source characteristics or the improvement of the deformation field accuracy obtained by Landsat 8 image. In this study, we utilize the 2013 Mw 7.7 Balochistan, Pakistan earthquake to analyze error spatio-temporal characteristics and elaborate how to mitigate error sources in the defor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
26
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 39 publications
(26 citation statements)
references
References 40 publications
0
26
0
Order By: Relevance
“…However, there was no precise orbit for the JERS or ALOS1 data. So we adopted a refined method based on fringe frequency to correct the phase ramp in differential interferograms [18]. Before phase unwrapping, a modified Goldstein filter was used to reduce noise phases [19] and a manual mask applied to eliminate its impact on phase unwrapping from some low coherence areas such as isolated islands and sea areas.…”
Section: Data Coverage and Insar Processingmentioning
confidence: 99%
“…However, there was no precise orbit for the JERS or ALOS1 data. So we adopted a refined method based on fringe frequency to correct the phase ramp in differential interferograms [18]. Before phase unwrapping, a modified Goldstein filter was used to reduce noise phases [19] and a manual mask applied to eliminate its impact on phase unwrapping from some low coherence areas such as isolated islands and sea areas.…”
Section: Data Coverage and Insar Processingmentioning
confidence: 99%
“…In recent years, differential InSAR (D-InSAR) has been widely used in seismic research (Wang et al, 2002;Feng et al, 2016). Compared with the traditional geodetic method, D-InSAR technology has the characteristics of all-time, all-weather and no ground control in monitoring ground deformation, and its monitoring accuracy can reach centimeters or even millimeters level Ding et al, 2016). In addition, the surface deformation obtained by D-InSAR technology has a large range and good continuity.…”
Section: Introductionmentioning
confidence: 99%
“…Ding et al [44] develop new methods to reduce stripe artifacts (SA) and Topographic Shadowing Artifacts (TSA) in surface displacement maps retrieved from Landsat 8 optical images. Their experiments indicate that their algorithms could improve the precision of surface displacement maps (near 15%).…”
Section: New Eo Techniques and Servicesmentioning
confidence: 99%