植被(病理学)
遥感
卫星
环境科学
陆地生态系统
合成
生态系统
计算机科学
环境资源管理
生态学
地理
人工智能
医学
生物
图像(数学)
工程类
病理
航空航天工程
作者
Yelu Zeng,Dalei Hao,Alfredo Huete,Benjamin Dechant,J. A. Berry,Jing M. Chen,Joanna Joiner,Christian Frankenberg,Ben Bond‐Lamberty,Youngryel Ryu,Jingfeng Xiao,Ghassem Asrar,Min Chen
标识
DOI:10.1038/s43017-022-00298-5
摘要
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as photosynthetic activity and canopy structure, are widely used to study vegetation dynamics across scales. However, VI-based results can vary between indices, sensors, quality control measures, compositing algorithms, and atmospheric and sun–target–sensor geometry corrections. These variations make it difficult to draw robust conclusions about ecosystem change and highlight the need for consistent VI application and verification. In this Technical Review, we summarize the history and ecological applications of VIs and the linkages and inconsistencies between them. VIs have been used since the early 1970s and have evolved rapidly with the emergence of new satellite sensors with more spectral channels, new scientific demands and advances in spectroscopy. When choosing VIs, the spectral sensitivity and features of VIs and their suitability for target application should be considered. During data analyses, steps must be taken to minimize the impact of artefacts, VI results should be verified with in situ data when possible and conclusions should be based on multiple sets of indicators. Next-generation VIs with higher signal-to-noise ratios and fewer artefacts will be possible with new satellite missions and integration with emerging vegetation metrics such as solar-induced chlorophyll fluorescence, providing opportunities for studying terrestrial ecosystems globally.
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