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Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes

Author

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  • Mariano Bresciani

    (Institute of Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), Via Bassini 15, 20133 Milan, Italy)

  • Claudia Giardino

    (Institute of Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), Via Bassini 15, 20133 Milan, Italy)

  • Alice Fabbretto

    (Institute of Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), Via Bassini 15, 20133 Milan, Italy)

  • Andrea Pellegrino

    (Institute of Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), Via Bassini 15, 20133 Milan, Italy)

  • Salvatore Mangano

    (Institute of Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), Via Bassini 15, 20133 Milan, Italy)

  • Gary Free

    (Institute of Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), Via Bassini 15, 20133 Milan, Italy)

  • Monica Pinardi

    (Institute of Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), Via Bassini 15, 20133 Milan, Italy)

Abstract

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.

Suggested Citation

  • Mariano Bresciani & Claudia Giardino & Alice Fabbretto & Andrea Pellegrino & Salvatore Mangano & Gary Free & Monica Pinardi, 2022. "Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes," Resources, MDPI, vol. 11(2), pages 1-17, January.
    • Handle: RePEc:gam:jresou:v:11:y:2022:i:2:p:8-:d:728467
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    References listed on IDEAS

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    1. Claudia Giardino & Mariano Bresciani & Paolo Villa & Angiolo Martinelli, 2010. "Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3885-3899, November.
    2. Jeff C. Ho & Anna M. Michalak & Nima Pahlevan, 2019. "Widespread global increase in intense lake phytoplankton blooms since the 1980s," Nature, Nature, vol. 574(7780), pages 667-670, October.
    3. Hanjra, Munir A. & Qureshi, M. Ejaz, 2010. "Global water crisis and future food security in an era of climate change," Food Policy, Elsevier, vol. 35(5), pages 365-377, October.
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