First Evaluation of PRISMA Level 1 Data for Water Applications.

fixed position autonomous radiometers imaging spectrometry inland and coastal waters

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 Aug 2020
Historique:
received: 11 07 2020
revised: 08 08 2020
accepted: 12 08 2020
entrez: 23 8 2020
pubmed: 23 8 2020
medline: 23 8 2020
Statut: epublish

Résumé

This study presents a first assessment of the Top-Of-Atmosphere (TOA) radiances measured in the visible and near-infrared (VNIR) wavelengths from PRISMA (PRecursore IperSpettrale della Missione Applicativa), the new hyperspectral satellite sensor of the Italian Space Agency in orbit since March 2019. In particular, the radiometrically calibrated PRISMA Level 1 TOA radiances were compared to the TOA radiances simulated with a radiative transfer code, starting from in situ measurements of water reflectance. In situ data were obtained from a set of fixed position autonomous radiometers covering a wide range of water types, encompassing coastal and inland waters. A total of nine match-ups between PRISMA and in situ measurements distributed from July 2019 to June 2020 were analysed. Recognising the role of Sentinel-2 for inland and coastal waters applications, the TOA radiances measured from concurrent Sentinel-2 observations were added to the comparison. The results overall demonstrated that PRISMA VNIR sensor is providing TOA radiances with the same magnitude and shape of those in situ simulated (spectral angle difference, SA, between 0.80 and 3.39; root mean square difference, RMSD, between 0.98 and 4.76 [mW m

Identifiants

pubmed: 32823847
pii: s20164553
doi: 10.3390/s20164553
pmc: PMC7471993
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Claudia Giardino (C)

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), 20133 Milan, Italy.

Mariano Bresciani (M)

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), 20133 Milan, Italy.

Federica Braga (F)

Institute of Marine Sciences-National Research Council (CNR-ISMAR), 30122 Venice, Italy.

Alice Fabbretto (A)

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), 20133 Milan, Italy.
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milan, Italy.

Nicola Ghirardi (N)

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), 20133 Milan, Italy.

Monica Pepe (M)

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), 20133 Milan, Italy.

Marco Gianinetto (M)

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), 20133 Milan, Italy.
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milan, Italy.

Roberto Colombo (R)

Remote Sensing of Environmental Dynamics Laboratory, Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, 20126 Milano, Italy.

Sergio Cogliati (S)

Remote Sensing of Environmental Dynamics Laboratory, Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, 20126 Milano, Italy.

Semhar Ghebrehiwot (S)

Water Insight, 6709 PG Wageningen, The Netherlands.

Marnix Laanen (M)

Water Insight, 6709 PG Wageningen, The Netherlands.

Steef Peters (S)

Water Insight, 6709 PG Wageningen, The Netherlands.

Thomas Schroeder (T)

CSIRO, Oceans & Atmosphere, Brisbane, QLD 4001, Australia.

Javier A Concha (JA)

Institute of Marine Sciences, National Research Council of Italy (CNR-ISMAR), 00133 Rome, Italy.

Vittorio E Brando (VE)

Institute of Marine Sciences, National Research Council of Italy (CNR-ISMAR), 00133 Rome, Italy.

Classifications MeSH