干旱区生态环境知识资源中心(Arid): 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

Arid

DOI	10.3390/rs11070778
	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, Aminov 1,2,3; Chen, Xi1,2,4 ; Bao, Anming1,2 ; Jamshed, Aminov 2,3,5; Yunus, Mamadjanov 3,4; Jovid, Aminov 3,6; Latipa, Tuerhanjiang 2,4
通讯作者	Chen, Xi
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:7
英文摘要	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.
英文关键词	image enhancement automatic lineament extraction Landsat-8 Sentinel-1 Sentinel-2 structural mapping
类型	Article
语种	英语
国家	Peoples R China ; Tajikistan ; Germany
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000465549300043
WOS关键词	REMOTE-SENSING DATA ; SATELLITE IMAGES ; STRUCTURAL GEOLOGY ; ZAGROS MOUNTAIN ; EASTERN DESERT ; PALSAR DATA ; FEATURES ; REGION ; ZONE ; SUITABILITY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院新疆生态与地理研究所 ; 中国科学院青藏高原研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218356
作者单位	1.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
推荐引用方式 GB/T 7714	Javhar, Aminov,Chen, Xi,Bao, Anming,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]. 中国科学院新疆生态与地理研究所, 中国科学院青藏高原研究所,2019,11(7).
APA	Javhar, Aminov.,Chen, Xi.,Bao, Anming.,Jamshed, Aminov.,Yunus, Mamadjanov.,...&Latipa, Tuerhanjiang.(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).
MLA	Javhar, Aminov,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).