Use this url to cite publication: https://hdl.handle.net/20.500.14172/26921
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Hyperspectral Prisma data processing for water quality research and applications
Type of publication
Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)
Type of document
text::conference output::conference proceedings::conference paper
Author(s)
Fabbretto, A. | National Research Council (CNR-IREA) | IT | University of Tartu | EE |
Pellegrino, A. | National Research Council (CNR-IREA) | IT | ||
Giardino, C. | National Research Council (CNR-IREA) | IT | ||
Bresciani, M. | National Research Council (CNR-IREA) | IT | ||
Alikas, K. | University of Tartu | EE | ||
Braga, F. | National Research Council (CNR-ISMAR) | IT | ||
LT | ||||
Lima, T.M.A.D. | National Institute for Space Research (INPE) | BR | ||
Mangano, S. | National Research Council (CNR-IREA) | IT | ||
Ghirardi, N. | National Research Council (CNR-IREA) | IT | ||
Daraio, M.G. | Italian Space Agency | IT | ||
Brando, V.E. | National Research Council of Italy (CNR-ISMAR) | IT |
Title
Hyperspectral Prisma data processing for water quality research and applications
Publisher
Piscataway : IEEE
Date Issued
Date Issued | Start Page | End Page |
---|---|---|
2023-07-16 | 1744 | 1747 |
Is part of
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium : proceedings : 16-21 July, 2023, Pasadena, California, USA
Field of Science
Abstract
Climate change is having a significant negative impact on freshwater systems, which provide multiple ecosystem services. In this context, the present study aims to show an overview of the main objectives achieved by exploiting the hyperspectral reflectance data provided by the PRISMA sensor to map aquatic ecosystems. Water quality products were generated using three different approaches: the bio-optical model BOMBER, adaptive semi-empirical algorithms, and machine learning models. These methods were tested in very different waterbodies worldwide: five lakes, two lagoons and one river. To assess the accuracy of the water quality products, comparisons were performed with reference measurements. The results showed an average R 2 = 0.70 and encourage using PRISMA data for aquatic applications in synergy with existing multispectral and future hyperspectral data.
ISBN (of the container)
9798350331745
9798350320107
ISSN (of the container)
2153-6996
2153-7003
WOS
001098971602004
Coverage Spatial
Jungtinės Amerikos Valstijos / United States of America (US)
Language
Anglų / English (en)
Bibliographic Details
29
Project(s)
ASI-PRISCAV
PANDA WATER
Sviluppo di Prodotti Iperspettrali Prototipali Evoluti
PrimeWater
CERTO