Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not only through long-term processes but also through medium- and short-term processes. Geodiversity is, therefore, a key control and regulating variable in the overall development of landscapes and biodiversity. However, climate change and land use intensity are leading to major changes and disturbances in bio- and geodiversity. For sustainable ecosystem management, temporal, economically viable and standardized monitoring is needed to monitor and model the effects and changes in vegetation- and geodiversity. RS approaches have been used for this purpose for decades. However, to understand in detail how RS approaches capture vegetation- and geodiversity, the aim of this paper is to describe how five features of vegetation- and geodiversity are captured using RS technologies, namely: (i) trait diversity, (ii) phylogenetic/genese diversity, (iii) structural diversity, (iv) taxonomic diversity and (v) functional diversity. Trait diversity is essential for establishing the other four. Traits provide a crucial interface between in situ , close-range, aerial and space-based RS monitoring approaches. The trait approach allows complex data of different types and formats to be linked using the latest semantic data integration techniques, which will enable ecosystem integrity monitoring and modelling in the future. This article is part of the Theo Murphy meeting issue ‘Geodiversity for science and society’.

中文翻译：

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利用遥感和特征监测植被和地球多样性

地球多样性不仅通过长期过程，而且通过中短期过程，在所有时空尺度上塑造和构造了地球表面。因此，地理多样性是景观和生物多样性整体发展的关键控制和调节变量。然而，气候变化和土地利用强度正在导致生物和地理多样性发生重大变化和干扰。对于可持续的生态系统管理，需要进行时间上、经济上可行的标准化监测，以监测和模拟植被和地理多样性的影响和变化。RS 方法已用于此目的数十年。然而，为了详细了解遥感技术如何捕获植被和地球多样性，本文的目的是描述如何使用遥感技术捕获植被和地球多样性的五个特征，即：(i) 性状多样性，(ii) 系统发育/基因多样性，(iii) 结构多样性，(iv) 分类多样性和 (v) 功能多样性。特质多样性对于建立其他四个特质至关重要。特征提供了一个关键的接口就地、近距离、空中和天基遥感监测方法。特征方法允许使用最新的语义数据集成技术链接不同类型和格式的复杂数据，这将使未来的生态系统完整性监控和建模成为可能。本文是西奥·墨菲会议问题“科学与社会的地理多样性”的一部分。