Climate Change Data Portal
| DOI | 10.1016/j.earscirev.2019.102929 |
| Airborne lidar change detection: An overview of Earth sciences applications | |
| Okyay U.; Telling J.; Glennie C.L.; Dietrich W.E. | |
| 发表日期 | 2019 |
| ISSN | 00128252 |
| 卷号 | 198 |
| 英文摘要 | In the last two decades, airborne laser scanning (ALS) has found widespread application and driven fundamental advances in the Earth sciences. With increasing availability and accessibility, multi-temporal ALS data have been used to advance key research topics related to dynamic Earth surface processes. This review presents a comprehensive compilation of existing applications of ALS change detection to the Earth sciences. We cover a wide scope of material pertinent to the broad field of Earth sciences to encourage the cross-pollination between sub-disciplines and discuss the outlook of ALS change detection for advancing scientific discovery. While significant progress has been made in applying repeat ALS data to change detection, numerous approaches make fundamental assumptions that limit the full potential of repeat ALS data. The use of such data for 3D change detection is, therefore, in need of novel, scalable, and computationally efficient processing algorithms that transcend the ever-increasing data density and spatial coverage. Quantification of uncertainty in change detection results also requires further attention, as it is vitally important to understand what 3D differences detected between epochs represent actual change as opposed to limitations in data or methodology. Although ALS has become increasingly integral to change detection across the Earth sciences, the existence of pre- and post-event ALS data is still uncommon for many isolated hazard events, such as earthquakes, volcanic eruptions, wildfires, and landslides. Consequently, data availability is still a major limitation for many ALS change detection applications. © 2019 Elsevier B.V. |
| 关键词 | Airborne laser scanningALSChange detectionMulti-temporalRepeat lidar |
| 英文关键词 | airborne sensing; algorithm; detection method; Earth science; laser method; lidar; spatiotemporal analysis |
| 语种 | 英语 |
| 来源期刊 | Earth Science Reviews
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/203525 |
| 作者单位 | National Center for Airborne Laser Mapping, Department of Civil and Environmental Engineering, University of Houston, 5000 Gulf Freeway, Building 4, Suite 216, Houston, TX 77204-5059, United States; Department of Earth and Planetary Science, University of California, Berkeley, 307 McCone Hall, Berkeley, CA 94720-4767, United States |
| 推荐引用方式 GB/T 7714 | Okyay U.,Telling J.,Glennie C.L.,et al. Airborne lidar change detection: An overview of Earth sciences applications[J],2019,198. |
| APA | Okyay U.,Telling J.,Glennie C.L.,&Dietrich W.E..(2019).Airborne lidar change detection: An overview of Earth sciences applications.Earth Science Reviews,198. |
| MLA | Okyay U.,et al."Airborne lidar change detection: An overview of Earth sciences applications".Earth Science Reviews 198(2019). |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
