Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.rsase.2021.100617 |
Reappraisal of DEMs, Radar and optical datasets in lineaments extraction with emphasis on the spatial context | |
Shebl, Ali; Csamer, Arpad | |
通讯作者 | Shebl, A (corresponding author), Univ Debrecen, Dept Mineral & Geol, Egyet Ter 1, H-4032 Debrecen, Hungary. |
来源期刊 | REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
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ISSN | 2352-9385 |
出版年 | 2021 |
卷号 | 24 |
英文摘要 | Lineaments mapping is an authentic issue for deciphering the tectonic setting, geological history, mineral pro-specting, and other several applications. Consequently, the study objective is to examine various remote sensing datasets at wide various spatial resolutions (10, 12.5, 15, 20, 30 m), to recommend the best in lineaments elicitation, for usage in the geological scientific community. Toward this aim, nine various remote sensing datasets including optical sensors (Landsat OLI, ASTER, Earth Observing-1 Advanced Land Imager, Sentinel 2A), radar data (Sentinel 1), and digital elevation models (ALOS PALSAR, SRTM, NASA, ASTER V3), are tackled. In this scope, we created an entirely automatic lineament derivation environment through the integration of edge detection and line-linking algorithms. Results show that the used optical sensors are less efficient than DEMs having the same spatial resolution. Sentinel 1 radar data is more competent than optical data sources. ALOS PALSAR DEM (12.5m) is more eligible than any other utilized data type even sentinel 1 data (10 m). Wholly, DEMs built from radar data (e.g., PALSAR DEM) proved their leverage in lineament extraction to a limit that can deviate from the well-known relationship between the number of extracted lineaments and pixel size. |
英文关键词 | Lineament extraction ALOS PALSAR DEM Sentinel 1 DEMs Geological structures Landsat OLI ASTER Sentinel 2A |
类型 | Article |
语种 | 英语 |
开放获取类型 | hybrid, Green Published |
收录类别 | ESCI |
WOS记录号 | WOS:000719776500002 |
WOS关键词 | REMOTE-SENSING DATA ; EASTERN DESERT ; PALSAR DATA ; AREA ; EXPLORATION ; REGION ; CLASSIFICATION ; SYSTEMS ; IMAGES ; ASTER |
WOS类目 | Environmental Sciences ; Remote Sensing |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/374338 |
作者单位 | [Shebl, Ali; Csamer, Arpad] Univ Debrecen, Dept Mineral & Geol, Egyet Ter 1, H-4032 Debrecen, Hungary; [Shebl, Ali] Tanta Univ, Dept Geol, Tanta 31527, Egypt |
推荐引用方式 GB/T 7714 | Shebl, Ali,Csamer, Arpad. Reappraisal of DEMs, Radar and optical datasets in lineaments extraction with emphasis on the spatial context[J],2021,24. |
APA | Shebl, Ali,&Csamer, Arpad.(2021).Reappraisal of DEMs, Radar and optical datasets in lineaments extraction with emphasis on the spatial context.REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT,24. |
MLA | Shebl, Ali,et al."Reappraisal of DEMs, Radar and optical datasets in lineaments extraction with emphasis on the spatial context".REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 24(2021). |
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