Importance of the Collection of Abundant Ground‐Truth Data for Accurate Detection of Spatial and Temporal Variability of Vegetation by Satellite Remote Sensing

作者：Shin Nagai, Kenlo Nishida Nasahara, Tomoko Akitsu, Taku M. Saitoh, Hiroyuki Muraoka · 发表于：Geophysical monograph · 年份：2020 · DOI：10.1002/9781119413332.ch11 · 被引用次数：28 · 研究领域：Remote Sensing in Agriculture、Land Use and Ecosystem Services、Species Distribution and Climate Change

Satellite remote sensing (RS) is useful to indirectly evaluate the spatial and temporal variability of land uses, land-cover changes, aboveground biomass of vegetation, leaf-area index of terrestrial vegetation canopies, and plant phenology. These observations allow us to gain a deeper understanding of the spatial and temporal variability of ecosystem structure, ecosystem functions, and biodiversity under climate change. However, satellite RS observations include uncertainties and other issues, and our ecological understanding of satellite RS-observed data is still insufficient. To solve these issues and to better understand the ecological meaning, we need to collect abundant ground-truth data from multiple field sites to validate satellite RS-observed data and conduct integrated analyses using both types. To enhance the development of phenology observation and land-use and land-cover change studies, the Phenological Eyes Network (PEN) and the Site-based dataset for Assessment of Changing Land cover by JAXA project (SACLAJ) were established. In this chapter, we first introduce some of our findings from these two projects, and then we discuss the usability, other related issues, and the outlook of integrated ecosystem studies that use both in situ and satellite RS-observed data.