On the seasonal timescale, for accessible locations and when manpower is available, direct observations and field surveys are the most useful and standard approaches. However very limited studies have been conducted through direct examination on decennial-to-century timescales due to observational constrains. Here, we present an open and reproducible pipeline based on historical aerial images (across a timeline of up to 70 years) that includes sensor calibration, dense matching, and elevation reconstruction in two areas of interest that represent pristine examples of tropical and alpine environments. The Remparts and Langevin rivers, on Réunion Island, and the Bossons glacier, in the French Alps, share limited accessibility (in time and space) that can be overcome only by remote sensing. We reach a metric-to-submetric resolution close to the nominal image spatial sampling. This provides elevation time series with better resolution than most recent satellite images, such as Pleiades, in a decennial time period.

中文翻译：

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归档时间序列数字高程模型的十年地貌迁移：热带和高山环境食谱

在季节性时间尺度上，对于可访问的地点和人力可用的情况，直接观察和实地调查是最有用和最标准的方法。然而，由于观察限制，通过对十年到世纪时间尺度的直接检查进行了非常有限的研究。在这里，我们提出了一个基于历史航拍图像（跨越长达 70 年的时间线）的开放且可重复的管道，其中包括传感器校准、密集匹配和在两个感兴趣的领域中的高程重建，这些领域代表了热带和高山环境的原始示例。留尼汪岛的 Remparts 和 Langevin 河以及法国阿尔卑斯山的 Bossons 冰川共享有限的可达性（在时间和空间上），只能通过遥感来克服。我们达到了接近标称图像空间采样的公制到亚公制分辨率。这提供了比最近的卫星图像（例如昴宿星团）在十年周期内具有更好分辨率的高程时间序列。