A5053055057- Marine and coastal ecosystems
- Water Quality Monitoring and Analysis
- Water Quality Monitoring Technologies
- Aquatic Ecosystems and Phytoplankton Dynamics
- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Water Quality and Pollution Assessment
- Remote Sensing and LiDAR Applications
- Geochemistry and Geologic Mapping
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Oceanographic and Atmospheric Processes
- Land Use and Ecosystem Services
- Hydrology and Watershed Management Studies
- Calibration and Measurement Techniques
- Fish Ecology and Management Studies
- Atmospheric Ozone and Climate
- Isotope Analysis in Ecology
- Urban Heat Island Mitigation
- Marine and environmental studies
- Air Quality Monitoring and Forecasting
- Coral and Marine Ecosystems Studies
- Oil Spill Detection and Mitigation
- Climate change and permafrost
Istituto per il Rilevamento Elettromagnetico dell'Ambiente
2016-2025
National Research Council
2015-2025
Institute for the Dynamics of Environmental Processes
2007-2024
University of Palermo
2023-2024
Universitat de València
2023
Ospedale di Livorno
2020
Terra
2020
University of Florence
2020
National Academies of Sciences, Engineering, and Medicine
2003-2020
Italian Resuscitation Council
2018
The relatively high spatial resolution, short revisit time and red-edge spectral band (705 nm) of the ESA Sentinel-2 Multi Spectral Imager makes this sensor attractive for monitoring water quality coastal inland waters. Reliable atmospheric correction is essential to support routine retrieval optically active substance concentration from water-leaving reflectance. In study, six publicly available algorithms (Acolite, C2RCC, iCOR, l2gen, Polymer Sen2Cor) are evaluated against above-water...
Freshwater ecosystems underpin global water and food security, yet are some of the most endangered in world because they particularly vulnerable to land management change climate variability. The US National Research Council's guidance NASA regarding missions for coming decade includes a polar orbiting, mapping hyperspectral satellite remote sensing mission, Hyperspectral Infrared Imager (HyspIRI), make quantitative measurements ecosystem change. Traditionally, freshwater have been...
Abstract Inland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding their functions, drivers impacting on these functions deliver more effective management. The ability observe from space has led Earth observation (EO) becoming established as an important source information water quality ecosystem condition. However, progress toward a globally valid EO approach still largely hampered by inconsistences over...
Atmospheric correction over inland and coastal waters is one of the major remaining challenges in aquatic remote sensing, often hindering quantitative retrieval biogeochemical variables analysis their spatial temporal variability within environments. The Correction Intercomparison Exercise (ACIX-Aqua), a joint NASA – ESA activity, was initiated to enable thorough evaluation eight state-of-the-art atmospheric (AC) processors available for Landsat-8 Sentinel-2 data processing. Over 1000...
The Sentinel-2A and 2B Multi-Spectral Instrument (MSI) offers a specification of potential value toward number objectives in remote sensing coral reefs. Coral reefs represent unique challenge for sensing, being highly heterogeneous at metre scales occurring variable depths water clarity regimes. However, conservation initiatives, such as the United Nations Sustainable Development Goals, add urgency to need large scale environmental monitoring information that can provide. In quest meet this...
Image correction for atmospheric effects (iCOR) is an tool that can process satellite data collected over coastal, inland or transitional waters and land. The adaptable with minimal effort to hyper- multi-spectral radiometric sensors. By using a single implementation land water, discontinuities in reflectance within one scene are reduced. iCOR derives aerosol optical thickness from the image allows adjacency correction, which SIMilarity Environmental Correction (SIMEC) water. This paper...
Constructing multi-source satellite-derived water quality (WQ) products in inland and nearshore coastal waters from the past, present, future missions is a long-standing challenge. Despite inherent differences sensors' spectral capability, spatial sampling, radiometric performance, research efforts focused on formulating, implementing, validating universal WQ algorithms continue to evolve. This extends recently developed machine-learning (ML) model, i.e., Mixture Density Networks (MDNs)...
Abstract The development of algorithms for remote sensing water quality (RSWQ) requires a large amount in situ data to account the bio-geo-optical diversity inland and coastal waters. GLObal Reflectance community dataset Imaging optical Aquatic environments (GLORIA) includes 7,572 curated hyperspectral reflectance measurements at 1 nm intervals within 350 900 wavelength range. In addition, least one co-located measurement chlorophyll , total suspended solids, absorption by dissolved...
Imaging spectrometry of non-oceanic aquatic ecosystems has been in development since the late 1980s when first airborne hyperspectral sensors were deployed over lakes. Most water quality management applications were, however, developed using multispectral mid-spatial resolution satellites or coarse spatial ocean colour till now. This situation is about to change with a suite upcoming imaging spectrometers being from experimental International Space Station. We review science developing for...
In this study we evaluate the capabilities of three satellite sensors for assessing water composition and bottom depth in Lake Garda, Italy. A consistent physics-based processing chain was applied to Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat-8 Operational Land Imager (OLI) RapidEye. Images gathered on 10 June 2014 were corrected atmospheric effects with 6SV code. The computed remote sensing reflectance (Rrs) from MODIS OLI converted into quality parameters by adopting a...
For effective lakes' management, high-frequent water quality data on a synoptic scale are essential. The aim of this study is to test the suitability latest generation satellite sensors provide information lake parameters for five largest Italian subalpine lakes. In situ phytoplankton composition, chlorophyll-a (chl-a) concentration and reflectance were used in synergy with observations map some algal blooms 2016. Chl-a maps derived from by applying bio-optical model data, previously...
Retrieval of aquatic biogeochemical variables, such as the near-surface concentration chlorophyll-a (Chl a ) in inland and coastal waters via remote observations, has long been regarded challenging task. This manuscript applies Mixture Density Networks (MDN) that use visible spectral bands available by Operational Land Imager (OLI) aboard Landsat-8 to estimate Chl . We utilize database co-located situ radiometric measurements (N = 4,354), referred Type A data, train test an MDN model (MDN )....
Following more than two decades of research and developments made possible through various proof-of-concept hyperspectral remote sensing missions, it has been anticipated that imaging would enhance the accuracy remotely sensed in-water products. This study investigates such expected improvements demonstrates utility radiometric measurements for retrieval near-surface phytoplankton properties1, i.e., absorption spectra (aph) biomass evaluated examining concentration chlorophyll-a (Chla)....
The Landsat series has marked the history of Earth observation by performing longest continuous imaging program from space. recent Landsat-9 carrying Operational Land Imager 2 (OLI-2) captures a higher dynamic range than sensors aboard Landsat-8 or Sentinel-2 (14-bit vs. 12-bit) that can potentially push forward frontiers aquatic remote sensing. This potential stems enhanced radiometric resolution OLI-2, providing sensitivity over water bodies are usually low-reflective. study performs an...
The aim of this work is to test the state-of-the-art water constituent retrieval algorithms for phycocyanin (PC) and chlorophyll-a (chl-a) concentrations in Brazilian reservoirs from hyperspectral PRISMA images concurrent situ data. One near-coincident Sentinel-3 OLCI dataset has also been considered PC mapping as its high revisit time a relevant element cyanobacterial blooms. testing was first performed on remote sensing reflectance (Rrs), derived by applying two atmospheric correction...