Different dimensions of biodiversity are increasingly appreciated as critical for maintaining the functions of ecosystems and their services to humans. More recently, with the emergence of functional biogeography, functional diversity is of particular interest due to its strong links with ecosystem processes such as carbon, water and energy exchange, and climate mitigation. The multi-form diversity varies in space and time. Understanding this variation across scales is important for tracking the resilience of Earth’s ecosystem, and the information on the ecosystem structural features provides necessary foundations for monitoring, predicting the ecosystem functioning patterns and process of ecosystems from individual unit to its whole in a holistic manner. In recent, the high-resolution, high-throughput, non-intrusive, and large-scale data on biodiversity monitoring and measurement are becoming a new trend toward enhancing the efficiency and coherency in ecological discovery. Still, the available multi-scale data on multi-dimensional diversity are incomplete and non-representative taxonomically, geographically and temporally. Although the studies on functional traits and their relations with function continue to grow, local observations on functional traits are limited. Recently, remote sensing has proved to be a critical technology for addressing this research gap. Air- and satellite-borne spectrometers at different levels could develop novel diversity measurements and alternati