Satellite Multi/Hyper Spectral HR Sensors for Mapping the Posidonia oceanica in South Mediterranean Islands

Borfecchia, Flavio; Micheli, Carla; Cecco, L. De; Sannino, Gianmaria; Struglia, Maria Vittoria; Sarra, Alcide di; Gomez, Carlo; Mattiazzo, Giuliana

doi:10.3390/su132413715

Cited by 6 publications

(4 citation statements)

References 44 publications

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“…And, even using few validation data acquired with years of difference and the lack of knowledge about the optical properties at the moment of image acquisition (to help defining the parameterization range), the model obtained qualitatively good results. Previous studies have showed the potential of PRISMA data for optical bathymetry retrieval (Alevizos et al, 2022), seabed mapping (Borfecchia et al, 2021), and retrieval of water quality parameters in inland waters (Niroumand-Jadidi et al, 2020;Bresciani et al, 2022). Together with the results presented in our present analysis, these studies indicate the potential of the hyperspectral PRISMA sensor for monitoring aquatic systems.…”

Section: Regionsupporting

confidence: 85%

Bio-optical properties of the Brazilian Abrolhos Bank’s shallow coral-reef waters

Medeiros

Zoffoli²,

Frouin³

et al. 2022

Front. Remote Sens.

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The Abrolhos Bank harbors the richest coral reef ecosystem in the South Atlantic Ocean. It exhibits unique geomorphologic structures, is localized in shallow depths, and is divided into two reef regions with an inner arc close to the coast (3–20 m depth) and an outer deeper arc (5–30 m depth). This study aims to describe some bio-optical properties of the Abrolhos Bank waters and to evaluate the performance of the inversion Hyperspectral Optimization Processing Exemplar (HOPE) model, developed to retrieve optical properties in shallow waters, in the region. To this end, measurements at 75 stations during two field campaigns conducted during the 2013 and 2016 wet seasons were analyzed, and the HOPE model was applied to both in situ remote sensing reflectance (Rrs) spectra and PRecursore IperSpettrale della Missione Applicativa (PRISMA) imagery. Significant differences in optical and biological properties were found between the two arcs. The empirical relationships between chlorophyll-a concentration (Chl-a) and absorption coefficient of phytoplankton at 440 nm (aphy(440)) diverged from Bricaud’s models, suggesting differences in phytoplankton diversity and cell size. In both arcs, total non-water absorption coefficient at 440 nm (aT-w(440)) was dominated by colored dissolved organic matter (CDOM) by ∼60%. Absorption coefficient by CDOM (acdom) presented a higher variability within the outer arc, with the lowest contribution from non-algal particles (NAPs), and the spectral slopes of aCDOM resembled those of the inner arc. The spectral slopes of the NAP absorption coefficient suggested a dominance by organic rather than mineral particles that probably originated from biological production. The HOPE model applied to in situ Rrs performed satisfactorily for depth in the Abrolhos Bank waters, although retrievals of aphy(440), CDOM plus NAP (adg(440)) and aT-w(440) were underestimated with a relative bias of −27.9%, −32.1% and −45.8%, respectively. The HOPE model retrievals from the PRISMA image exhibited low aphy(440) values over the whole scene and the highest adg(440) values in the Caravelas river plume. Very shallow depths (≤3 m), bottom substrate reflectance used as input in the HOPE model, model parametrization associated with the water complexity in the study site, and uncertainties associated to Rrs measurements used as input might be responsible for differences found when comparing HOPE retrievals with in situ measurements.

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Section: Regionsupporting

confidence: 85%

Bio-optical properties of the Brazilian Abrolhos Bank’s shallow coral-reef waters

Medeiros

Zoffoli²,

Frouin³

et al. 2022

Front. Remote Sens.

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“…During the last decades, several techniques have supported seagrass mapping (Pasqualini et al, 2001), from Multibeam Echo-Sounding, Side Scan Sonar, Laser Imaging Detection and Ranging to panchromatic and multi-spectral data from satellites and Uncrewed Aerial Vehicles (Veettil et al, 2020). In this regard, multi/hyperspectral satellite sensors (i.e., Sentinel 2 MSI and PRISMA) have been successfully tested to monitor the stress level of PO (Borfecchia et al, 2021): time-series imagery exploits high-resolution data, while up-to-date sensors and techniques would allow to achieve even ultra-high resolution also for the time-series. More recently, photogrammetry is also increasingly being used to monitor the state of PO and the outcome of restoration projects, to derive finer-scale measurements with respect to the other geomatics techniques (Rende et al, 2022).…”

Section: State-of-the-artmentioning

confidence: 99%

Multitemporal Seagrass Mapping and Monitoring of Posidonia Meadows and Banquettes for Blue Carbon Conservation: The Poseidon Project

Ceccherelli,

Chiabrando,

Gallitto

et al. 2024

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In the framework of mapping underwater environments, Posidonia Oceanica (PO) is a fundamental indicator for environmental monitoring and related studies and analyses for climate change. The POSEIDON project aims to study, develop and test new methodologies to provide knowledge, as well as ultra-high-resolution (UHR) and beyond ultra-high-resolution (BUHR) mapping and monitoring data for the conservation of the PO and related meadows and banquettes in the Mediterranean area. The project is funded by the National Recovery and Resilience Plan and stems from the recommendation of international organizations (European Environmental Directives, Mediterranean PO Network, International Partnership for Blue Carbon, Intergovernmental Oceanographic Commission of UNESCO in the Save the Wave project). Starting from new integrated survey methods and legacy data, the PO, ichthyofauna and seagrass banquettes will be mapped to understand their evolution and extract indicators and useful trends. Furthermore, the produced information will be stored and shared in a webGIS and a dedicated app to prevent unexpected damages during sailing or other activities. POSEIDON will use imaging sensors (RGB and multi/hyperspectral cameras) to extract information. With specific lighting equipment for significant water depths, these sensors will be conducted (by scuba divers or Autonomous Underwater Vehicles) next to the object to acquire BUHR data. Finally, to monitor the fauna (fish, other species, invertebrates), terrestrial and underwater videogrammetry will be applied using mono and stereo-cameras with object detection algorithms.

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“…More recently, PRISMA and DLR's Environmental Mapping and Analysis Program (EnMap) are able to measure Earth's surface properties with narrow contiguous spectral bands from VIS to the shortwave infrared (SWIR). In particular, PRISMA, the hyperspectral sensor distributed by the Italian Space Agency (ASI) [15][16][17], has been proven to be able to support water quality studies [12,[18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Accuracy of PRISMA Standard Reflectance Products in Globally Distributed Aquatic Sites

et al. 2023

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PRISMA is the Italian Space Agency’s first proof-of-concept hyperspectral mission launched in March 2019. The present work aims to evaluate the accuracy of PRISMA’s standard Level 2d (L2d) products in visible and near-infrared (NIR) spectral regions over water bodies. For this assessment, an analytical comparison was performed with in situ water reflectance available through the ocean color component of the Aerosol Robotic Network (AERONET-OC). In total, 109 cloud-free images over 20 inland and coastal water sites worldwide were available for the match-up analysis, covering a period of three years. The quality of L2d products was further evaluated as a function of ancillary parameters, such as the trophic state of the water, aerosol optical depth (AOD), observation and illumination geometry, and the distance from the coastline (DC). The results showed significant levels of uncertainty in the L2d reflectance products, with median symmetric accuracies (MdSA) varying from 33% in the green to more than 100% in the blue and NIR bands, with higher median uncertainties in oligotrophic waters (MdSA of 85% for the entire spectral range) than in meso-eutrophic (MdSA of 46%) where spectral shapes were retained adequately. Slight variations in the statistical agreement were then noted depending on AOD values, observation and illumination geometry, and DC. Overall, the results indicate that water-specific atmospheric correction algorithms should be developed and tested to fully exploit PRISMA data as a precursor for future operational hyperspectral missions as the standard L2d products are mostly intended for terrestrial applications.

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Satellite Multi/Hyper Spectral HR Sensors for Mapping the Posidonia oceanica in South Mediterranean Islands

Cited by 6 publications

References 44 publications

Bio-optical properties of the Brazilian Abrolhos Bank’s shallow coral-reef waters

Bio-optical properties of the Brazilian Abrolhos Bank’s shallow coral-reef waters

Multitemporal Seagrass Mapping and Monitoring of Posidonia Meadows and Banquettes for Blue Carbon Conservation: The Poseidon Project

Assessing the Accuracy of PRISMA Standard Reflectance Products in Globally Distributed Aquatic Sites

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