GIS and Remote Sensing Applications in Geomorphology

IF 1.4 4区 社会学 Q2 GEOGRAPHY Geography Pub Date : 2020-07-29 DOI:10.1093/obo/9780199874002-0219
Yingkui Li
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Abstract

Geomorphology is the science of studying landforms, landscapes, and their related processes, including the description, materials, classification, origin, evolution, and history of earth/planetary surfaces. Geographic information system (GIS) is a computer-based system used for collection, maintenance, storage, retrieval, analysis, and distribution of geographic data and information. A closely related technique to GIS is remote sensing (RS), the noncontact recording of electromagnetic spectrum of earth/planetary surfaces based on satellite-, aircraft-, or ground-based sensors to measure, detect, and classify ground objects. GIS and remote sensing have been integrated in many geomorphological studies to quantify surface processes and landforms. GIS/RS has been strongly linked with the methodology and concepts in geomorphology since its initial development. With the continual development of GIS and RS techniques, GIS/RS has been widely used to classify landform and landscape units, extract specific landform features, quantify process-landform relationships, and detect geomorphic changes. In particular, the combination of GIS/RS with digital elevation models (DEMs) has become one of the most common approaches for geomorphological research, especially with the early-21st-century progress in using LiDAR (light detection and ranging) and UAS (unmanned aircraft systems) to obtain high-resolution DEMs. A new discipline, geomorphometry, have been developed to quantify landforms and topography at various spatial scales on the basis of mathematical, statistical, and image-processing techniques. This article first includes a section focusing on the use of GIS/RS in general landform and landscape classification and then categorizes literature into a variety of subfields of geomorphology in which GIS/RS has been applied to solve geomorphological issues. These subfields include Glacial Geomorphology, Watershed and Fluvial Geomorphology, Hillslope Processes and Landslides, Coastal Geomorphology, Karst Geomorphology, Aeolian Geomorphology, and Tectonic Geomorphology. Some subfields, such as volcanic geomorphology and planetary geomorphology, are not included, but the methods and principles summarized in this article can be applied to these subfields.
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地理信息系统与遥感在地貌学中的应用
地貌学是研究地貌、景观及其相关过程的科学,包括地球/行星表面的描述、材料、分类、起源、演化和历史。地理信息系统(GIS)是一种基于计算机的系统,用于收集、维护、存储、检索、分析和分发地理数据和信息。与地理信息系统密切相关的一种技术是遥感(RS),即基于卫星、飞机或地面传感器测量、探测和分类地面物体的地球/行星表面电磁频谱的非接触记录。地理信息系统和遥感已被整合到许多地貌学研究中,以量化地表过程和地貌。地理信息系统/遥感自其最初发展以来就与地貌学的方法和概念密切相关。随着GIS和RS技术的不断发展,GIS/RS已被广泛应用于地貌和景观单元的分类、特定地貌特征的提取、过程-地貌关系的量化以及地貌变化的检测。特别是,GIS/RS与数字高程模型(dem)的结合已成为地貌学研究最常用的方法之一,特别是在21世纪初,使用激光雷达(光探测和测距)和无人机系统(无人机系统)获得高分辨率dem的进展。一门新的学科,地貌学,已经在数学,统计和图像处理技术的基础上,在不同的空间尺度上量化地形和地形。本文首先包括一个章节,重点介绍GIS/RS在一般地形和景观分类中的应用,然后将文献分类为各种地貌学子领域,其中GIS/RS已被应用于解决地貌问题。这些子领域包括冰川地貌学、流域和河流地貌学、山坡过程和滑坡、海岸地貌学、喀斯特地貌学、风成地貌学和构造地貌学。火山地貌学和行星地貌学等子领域尚未包括在内,但本文所总结的方法和原理可以应用于这些子领域。
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来源期刊
Geography
Geography GEOGRAPHY-
CiteScore
1.70
自引率
21.40%
发文量
21
期刊介绍: An international journal, Geography meets the interests of lecturers, teachers and students in post-16 geography.
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