ITPCAS OpenIR  > 图书馆
Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir
Javhar, A (Javhar, Aminov)1,2,3; Chen, X (Chen, Xi)1,2,4; Bao, AM (Bao, Anming)1,2; Jamshed, A (Jamshed, Aminov)2,3,5; Yunus, M (Yunus, Mamadjanov)3,4; Jovid, A (Jovid, Aminov)3,6; Latipa, T (Latipa, Tuerhanjiang)2,4
Source PublicationREMOTE SENSING
2019
Volume11Issue:7Pages:778
DOI10.3390/rs11070778
Abstract

Lineament mapping, which is an important part of any structural geological investigation, is made more efficient and easier by the availability of optical as well as radar remote sensing data, such as Landsat and Sentinel with medium and high spatial resolutions. However, the results from these multi-resolution data vary due to their difference in spatial resolution and sensitivity to soil occupation. The accuracy and quality of extracted lineaments depend strongly on the spatial resolution of the imagery. Therefore, the aim of this study was to compare the optical Landsat-8, Sentinel-2A, and radar Sentinel-1A satellite data for automatic lineament extraction. The framework of automatic approach includes defining the optimal parameters for automatic lineament extraction with a combination of edge detection and line-linking algorithms and determining suitable bands from optical data suited for lineament mapping in the study area. For the result validation, the extracted lineaments are compared against the manually obtained lineaments through the application of directional filtering and edge enhancement as well as to the lineaments digitized from the existing geological maps of the study area. In addition, a digital elevation model (DEM) has been utilized for an accuracy assessment followed by the field verification. The obtained results show that the best correlation between automatically extracted lineaments, manual interpretation, and the preexisting lineament map is achieved from the radar Sentinel-1A images. The tests indicate that the radar data used in this study, with 5872 and 5865 lineaments extracted from VH and VV polarizations respectively, is more efficient for structural lineament mapping than the Landsat-8 and Sentinel-2A optical imagery, from which 2338 and 4745 lineaments were extracted respectively.

Subject AreaRemote Sensing
WOS IDWOS:000465549300043
Language英语
Indexed BySCI
KeywordRemote-sensing Data Satellite Images Structural Geology Zagros Mountain Eastern Desert Palsar Data Features Region Zone Suitability
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
Cooperation Status国际
ISSN2072-4292
Department大陆碰撞与高原隆升
URL查看原文
PublisherMDPI
SubtypeArticle
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9342
Collection图书馆
Corresponding AuthorChen, X (Chen, Xi)
Affiliation1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 South Beijing Rd, Urumqi 830011, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Tajikistan Acad Sci, Inst Geol Earthquake Engn & Seismol, Dushanbe 735823, Tajikistan;
4.Res Ctr Ecol & Environm Cent Asia Dushanbe, Dushanbe 735823, Tajikistan;
5.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Inst Tibetan Plateau Res, Key Lab Continental Collis & Plateau Uplift, Beijing 100101, Peoples R China;
6.Univ Potsdam, Inst Erd & Umweltwissensch, D-14476 Potsdam, Germany.
Recommended Citation
GB/T 7714
Javhar, A ,Chen, X ,Bao, AM ,et al. Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir[J]. REMOTE SENSING,2019,11(7):778.
APA Javhar, A .,Chen, X .,Bao, AM .,Jamshed, A .,Yunus, M .,...&Latipa, T .(2019).Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir.REMOTE SENSING,11(7),778.
MLA Javhar, A ,et al."Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir".REMOTE SENSING 11.7(2019):778.
Files in This Item:
File Name/Size DocType Version Access License
2019316.pdf(26401KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Javhar, A (Javhar, Aminov)]'s Articles
[Chen, X (Chen, Xi)]'s Articles
[Bao, AM (Bao, Anming)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Javhar, A (Javhar, Aminov)]'s Articles
[Chen, X (Chen, Xi)]'s Articles
[Bao, AM (Bao, Anming)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Javhar, A (Javhar, Aminov)]'s Articles
[Chen, X (Chen, Xi)]'s Articles
[Bao, AM (Bao, Anming)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2019316.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.