Terrain is considered one of the most essential natural geographic features and is a key factor in physical processes. Geomorphometry and terrain analyses have provided a wealth of topographic data and corresponding tools, thus delivering insights into geomorphology, hydrology, soil science, and geographic information systems (GIS) in general. Recent advances in analysis theory, analysis methods, data-acquisition techniques and analysis platforms are impressive in their ability to interpret not only multiscale and multiaspect topographic characteristics but also the mechanisms and processes associated with terrain morphodynamics. In this context, we review progress in the fields of geomorphometry and terrain analysis, as well as the probable future paths of these two fields. In the data collection and construction processes, novel models and acquisition techniques can support the expression of complex terrain, and scholars have explored data-related challenges such as the accuracy and security of the utilized data. Terrain analyses have also been successful in constructing efficient analysis frameworks, transforming analysis units and methodologies, and highlighting the semantics of the analysis object as well as the continuity of Earth's surface processes. Moreover, terrain-related research and complex calculations have been aided by various analysis tools and platforms that have powerful and efficient processing capabilities. Furthermore, the application scopes of geomorphometry and terrain analysis have been broadened, especially in cross-analyses in which these techniques can be integrated with other disciplines.

地形被认为是最重要的自然地理特征之一，是物理过程的关键因素。地貌测量学和地形分析提供了丰富的地形数据和相应的工具，从而提供了对地貌学、水文、土壤科学和地理信息系统 (GIS) 的一般见解。分析理论、分析方法、数据采集技术和分析平台的最新进展令人印象深刻，它们不仅能够解释多尺度和多方面的地形特征，还能够解释与地形形态动力学相关的机制和过程。在此背景下，我们回顾了地貌测量学和地形分析领域的进展，以及这两个领域未来可能的发展路径。在数据收集和构建过程中，新的模型和采集技术可以支持复杂地形的表达，学者们探索了与数据相关的挑战，例如所利用数据的准确性和安全性。地形分析还成功地构建了有效的分析框架，转换了分析单元和方法，突出了分析对象的语义以及地球表面过程的连续性。此外，具有强大和高效处理能力的各种分析工具和平台已为与地形相关的研究和复杂计算提供了帮助。此外，地貌测量学和地形分析的应用范围也得到了拓宽，特别是在交叉分析中，这些技术可以与其他学科相结合。