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Interpretation and use of geomorphometry in remote sensing: a guide and review of integrated applications
International Journal of Remote Sensing ( IF 3.4 ) Pub Date : 2020-07-29 , DOI: 10.1080/01431161.2020.1792577
Steven E. Franklin 1
Affiliation  

ABSTRACT An understanding of topographic surfaces and a system of geomorphometric variables underlies the effective use of Digital Elevation Models (DEMs) in remote sensing. This paper is focussed on the basic concepts and structure of geomorphometric variable types relevant to geophysical and biophysical remote sensing applications. In general, remote sensing analysts must be satisfied that there is a reasonable expectation that geomorphometric processing will benefit the remote sensing project at hand based on physical or mathematical relationships. Careful selection of local, textural, and contextual geomorphometric variables is required. The characteristics of these data can help optimize the analysis approach, which increasingly involves machine learning algorithms and Object-based DEM Analysis (OBDA) methods. Examples from the literature and a DEM of the Peterborough Drumlin Field are used to illustrate the discussion.

中文翻译:

地貌测量在遥感中的解释和使用:综合应用指南和回顾

摘要 对地形表面和地貌测量变量系统的理解是在遥感中有效使用数字高程模型 (DEM) 的基础。本文重点介绍与地球物理和生物物理遥感应用相关的地貌测量变量类型的基本概念和结构。一般而言,遥感分析人员必须满足于基于物理或数学关系,地貌测量处理将有益于手头的遥感项目的合理预期。需要仔细选择局部、纹理和上下文地貌测量变量。这些数据的特征有助于优化分析方法,其中越来越多地涉及机器学习算法和基于对象的 DEM 分析 (OBDA) 方法。
更新日期:2020-07-29
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