气候变化领域集成服务门户(CCPortal): 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

CCPortal

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; Chen, Xi; Bao, Anming; Jamshed, Aminov; Yunus, Mamadjanov; Jovid, Aminov; Latipa, Tuerhanjiang
通讯作者	Chen, X (通讯作者)
发表日期	2019
EISSN	2072-4292
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.
关键词	REMOTE-SENSING DATA SATELLITE IMAGES STRUCTURAL GEOLOGY ZAGROS MOUNTAIN EASTERN DESERT PALSAR DATA FEATURES REGION ZONE SUITABILITY
英文关键词	image enhancement; automatic lineament extraction; Landsat-8; Sentinel-1; Sentinel-2; structural mapping
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000465549300043
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259616
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).