Airborne lidar change detection: An overview of Earth sciences applications
Airborne lidar change detection: An overview of Earth sciences applications
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DOI：
10.1016/j.earscirev.2019.102929
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发表时间：
2019-11
影响因子：
12.1
通讯作者：
U. Okyay;J. Telling;C. Glennie;W. Dietrich
中科院分区：
文献类型：
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作者：
U. Okyay;J. Telling;C. Glennie;W. Dietrich
在过去的二十年中，机载激光扫描（ALS）得到了广泛的应用，并推动了地球科学的根本性进步。随着ALS数据的可用性和可及性的增加，多时相ALS数据已被用于推进与地球表面动态过程相关的关键研究课题。本文综述了ALS变化检测在地球科学中的应用。我们涵盖了与地球科学广泛领域相关的广泛材料，以鼓励子学科之间的交叉授粉，并讨论ALS变化检测的前景，以促进科学发现。虽然在将重复ALS数据应用于变化检测方面取得了重大进展，但许多方法都做出了基本假设，限制了重复ALS数据的全部潜力。因此，将这些数据用于3D变化检测需要新颖的、可扩展的、计算效率高的处理算法，以超越不断增加的数据密度和空间覆盖范围。变化检测结果的不确定性的量化也需要进一步关注，因为了解在不同时代之间检测到的3D差异代表的是实际变化，而不是数据或方法上的限制，这一点至关重要。尽管ALS已经成为整个地球科学变化检测中不可或缺的一部分，但对于许多孤立的灾害事件，如地震、火山爆发、野火和山体滑坡，存在事前和事后的ALS数据仍然不常见。因此，数据可用性仍然是许多ALS变化检测应用程序的主要限制。
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.