高光谱成像
多光谱图像
遥感
环境科学
水质
水生生态系统
生态系统
环境监测
环境资源管理
时间尺度
计算机科学
生态学
地理
环境工程
生物
作者
Mariano Bresciani,Claudia Giardino,Alice Fabbretto,Andrea Pellegrino,Salvatore Mangano,Gary Free,Monica Pinardi
出处
期刊:Resources
[Multidisciplinary Digital Publishing Institute]
日期:2022-01-19
卷期号:11 (2): 8-8
被引量:43
标识
DOI:10.3390/resources11020008
摘要
The monitoring of water bio-physical parameters and the management of aquatic ecosystems are crucial to cope with the current state of inland water degradation. Not only does water quality monitoring support management decision making, it also provides vital insights to better understand changing structural and functional lake processes. Remote sensing has been widely recognized as an essential integrating technique for water quality monitoring, thanks to its capabilities to utilize both historical archive data for thousands of lakes as well as near-real time observations at multiple scales. To date, most of the applications developed for inland water have been based on multispectral and mid to coarse spatial resolution satellites, while a new generation of spaceborne imaging spectroscopy is now available, and future missions are under development. This review aims to present the exploitation of data gathered from two currently orbiting hyperspectral sensors (i.e., PRISMA and DESIS) to retrieve water quality parameters across different aquatic ecosystems, encompassing deep clear lakes and river dammed reservoirs.
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