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Water Constituents and Water Depth Retrieval from Sentinel-2A—A First Evaluation in an Oligotrophic Lake

Katja Dörnhöfer, Anna Göritz, Peter Gege, Bringfried Pflug, Natascha Oppelt
2016 Remote Sensing  
In this study, we aim to evaluate the potential of Sentinel-2 to assess and monitor water constituents and bottom characteristics of lakes at spatio-temporal synoptic scales.  ...  In deeper water, Sentinel-2A bands were incapable of allowing a WASI-2D based separation of macrophytes and sediment which led to erroneous water depths.  ...  We further thank ESA for providing Sentinel-2A data. We thank Philip Klinger of EOMAP GmbH & Co. KG for processing Sentinel-2A data with MIP.  ... 
doi:10.3390/rs8110941 fatcat:b2ljrn57hzc7lghxgoavby7atq

Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes

Milad Niroumand-Jadidi, Francesca Bovolo, Lorenzo Bruzzone, Peter Gege
2021 Remote Sensing  
Different methods are available for retrieving chlorophyll-a (Chl-a) in inland waters from optical imagery, but there is still a need for an inter-comparison among the products.  ...  To pursue the inter-comparison analysis, we demonstrate the application of Sentinel-2 imagery in the context of multitemporal retrieval of constituents in some Italian lakes.  ...  Acknowledgments: The authors appreciate the in situ Chl-a data provided by the regional environmental protection agencies of Trentino (APPA Trentino) and Umbria (ARPA Umbria).  ... 
doi:10.3390/rs13122381 fatcat:wmo4iz6nxbgdhnnoxvygjswzsq

Chlorophyll-a concentration retrieval in eutrophic lakes in Lithuania from Sentinel-2 data

Dalia Grendaitė, Edvinas Stonevičius, Jūratė Karosienė, Ksenija Savadova, Jūratė Kasperovičienė
2018 Geologija Geografija  
The first attempts to map water quality parameters in eutrophic lakes in Lithuania using the data received from the Sentinel-2 MSI sensor show good results, as the changes in reflectance, caused by the  ...  In this study the suitability of the Sentinel-2 Multispectral Imager data is tested for observing cyanobacteria bloom events in the eutrophic lakes and retrieving the chlorophyll-a concentration – an indicator  ...  The Sentinel-2 imagery was shown to be useful in retrieving water depths up to 2.5 m in oligotrophic lake characterized by 4.2 m Secchi depth (Dörnhöfer et al., 2016) .  ... 
doi:10.6001/geol-geogr.v4i1.3720 fatcat:7cqhvym4ang5hmjezb7vozoiee

D3.3 EO based processors and products

Claudia Giardino, Mariano Bresciani, Giacomo De Carolis, Francesca De Santi, Stephan Simis, M Warren, K Alikas, A. Ansper, Diana Vaiciute, M Bucas, A Hommersom, J Attila (+2 others)
2018 Zenodo  
This is particularly the case for EOMORES, whose target lakes include a wide range of water types.  ...  A first section is dedicated to the description of the methods while the last part describes how the processors have been applied to produce maps (both of the past and recent years, including 2018) of  ...  the water leaving radiance from the TOA radiances, and inherent optical properties of the water body, in a coupled system of an in-water and an atmospheric radiative transfer modelling.  ... 
doi:10.5281/zenodo.4031234 fatcat:zspfjozo6jafhpsxkfgdic6qq4

Machine learning-based retrieval of benthic reflectance and Posidonia oceanica seagrass extent using a semi-analytical inversion of Sentinel-2 satellite data

Dimosthenis Traganos, Peter Reinartz
2018 International Journal of Remote Sensing  
Here, we parameterise a semi-analytical inversion model which employs above-surface remote sensing reflectance of Sentinel-2A to derive water column and bottom properties in the Thermaikos Gulf, NW Aegean  ...  We apply a comprehensive pre-processing workflow which includes atmospheric correction using C2RCC (Case 2 Regional CoastColour) neural network, resampling of the lower spatial resolution Sentinel-2A bands  ...  Acknowledgments Dimosthenis Traganos is supported by a DLR-DAAD Research Fellowship (No. 57186656). We thank ESA for providing Sentinel-2A data through the Sentinels Scientific Data Hub.  ... 
doi:10.1080/01431161.2018.1519289 fatcat:aqlrxfjt3fci3jqebjliy54kcu

Evaluation of Atmospheric Correction Algorithms over Spanish Inland Waters for Sentinel-2 Multi Spectral Imagery Data

Marcela Pereira-Sandoval, Ana Ruescas, Patricia Urrego, Antonio Ruiz-Verdú, Jesús Delegido, Carolina Tenjo, Xavier Soria-Perpinyà, Eduardo Vicente, Juan Soria, José Moreno
2019 Remote Sensing  
An evaluation of the performance based on water types and single bands–classification based on ranges of in situ chlorophyll-a concentration and Secchi disk depth values- showed that performance of these  ...  ACOLITE, iCOR and Sen2Cor had a better performance when applied to meso- and hyper-eutrophic waters, compare with oligotrophic.  ...  We also thank the Confederación Hidrográfica del Júcar for their support in the field campaigns and to the Spanish National Institute for Aerospace Technology (INTA) for helping us to generate the HydroLight  ... 
doi:10.3390/rs11121469 fatcat:6sflhyg4jbgnvojseye3rg5pyq

Modelling of Greek Lakes Water Quality Using Earth Observation in the Framework of the Water Framework Directive (WFD)

Vassiliki Markogianni, Dionissios Kalivas, George P. Petropoulos, Elias Dimitriou
2022 Remote Sensing  
Given the great importance of lakes in Earth's environment and human life, continuous water quality (WQ) monitoring within the frame of the Water Framework Directive (WFD) is the most crucial aspect for  ...  from 50 lakes located in Greece with the main objective of delivering robust WQ assessment models.  ...  The network is supervised by the Directorate for the Protection and Management of Water Resources of the Special Secretariat for Waters of the Ministry of Environment and Energy.  ... 
doi:10.3390/rs14030739 fatcat:ttol7xqoizhrrgx4n47hqpgmbm

Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

Nima Pahlevan, Brandon Smith, John Schalles, Caren Binding, Zhigang Cao, Ronghua Ma, Krista Alikas, Kersti Kangro, Daniela Gurlin, Nguyễn Hà, Bunkei Matsushita, Wesley Moses (+5 others)
2020 Remote Sensing of Environment  
Our performance evaluations of the model, via two-thirds of the in situ dataset with Chla ranging from 0.2 to 1209 mg/m 3 and a mean Chla of 21.7 mg/m 3 , suggest significant improvements in Chla retrievals  ...  ) and the Ocean and Land Color Imager (OLCI) onboard Sentinel-2A/B and Sentinel-3A/B, respectively.  ...  Acknowledgement The algorithm development, the implementation, and the analyses were funded under NASA ROSES Awards #80NSSC18K0077, #80HQTR19C0015, and the USGS Landsat Science Team Award #140G0118C0011  ... 
doi:10.1016/j.rse.2019.111604 fatcat:jnuac2b4z5e7nng7dmekrjskm4

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

M. Bresciani, I. Cazzaniga, M. Austoni, T. Sforzi, F. Buzzi, G. Morabito, C. Giardino
2018 Hydrobiologia  
In situ data of phytoplankton composition, chlorophyll-a (chl-a) concentration and water reflectance were used in synergy with satellite observations to map some algal blooms in 2016.  ...  Results were compared with in situ data, showing good agreement. The shape and magnitude of water reflectance from different satellite data were consistent.  ...  Landsat-8 OLI data were gathered from USGS; Sentinel-2 images were provided by ESA. We are very grateful to Fabio Genoni (ARPA Lombardy) for providing us in situ data of Lake Idro.  ... 
doi:10.1007/s10750-017-3462-2 fatcat:2b2sdjd2azbx7bf44a56myndui

Synergy of multispectral and multisensors satellite observations to evaluate desert aerosol transport and impact of dust deposition on inland waters: study case of Lake Garda

Walter Di Nicolantonio, Ilaria Cazzaniga, Alessandra Cacciari, Mariano Bresciani, Claudia Giardino
2015 Journal of Applied Remote Sensing  
Estimates of the increased chl-a in the lake have been derived with values in concentration from 30% to 170%.  ...  the impact of Saharan dust deposition in inland waters, such as those of Lake Garda.  ...  Zibordi for Ispra and Venice sites and S. Corradini and S. Teggi for Modena. LST in situ measurements were kindly provided by G.  ... 
doi:10.1117/1.jrs.9.095980 fatcat:272qvaw42fgclg7hjggtxky3am

Impact of upstream landslide on perialpine lake ecosystem: an assessment using multi-temporal satellite data [article]

Paolo Villa, Mariano Bresciani, Rossano Bolpagni, Federica Braga, Dario Bellingeri, Claudia Giardino
2019 bioRxiv   pre-print
Sentinel-2 derived products revealed an increase in lake turbidity triggered by the landslide that amounted to twice the average values scored in the years preceding and following the event.  ...  perialpine Lake Mezzola (northern Italy), which was suffered from the impacts of a massive landslide that took place upstream of the lake basin in summer 2017.  ...  Zanenga for her help in Sentinel-2 pre-processing and GIS assisted delineation of reed beds of Pian di Spagna wetland.  ... 
doi:10.1101/808824 fatcat:j543xmdalve3hkqlinynms4z54

Assessment of Chlorophyll-a Remote Sensing Algorithms in a Productive Tropical Estuarine-Lagoon System

Regina Lins, Jean-Michel Martinez, David Motta Marques, José Cirilo, Carlos Fragoso
2017 Remote Sensing  
In addition, enhanced chlorophyll-a retrievals were found using the two-band algorithm based on bands of recently launched satellites such as Sentinel-2/MSI and Sentinel-3/OLCI, indicating a promising  ...  Our findings suggest that empirical models based on optical properties involving water constituents have strong potential to estimate chlorophyll-a using multispectral data from satellite, airborne or  ...  We also thank the Research Support Foundation of the State of Pernambuco (FACEPE), who granted a doctoral scholarship (PBPG-1148-3.01/12) to the first author, and IMA/AL, who provided the boat that was  ... 
doi:10.3390/rs9060516 fatcat:hmjaqddx5fe7ho2hlz2mz2p5n4

Diversity II water quality parameters from ENVISAT (2002–2012): a new global information source for lakes

Daniel Odermatt, Olaf Danne, Petra Philipson, Carsten Brockmann
2018 Earth System Science Data  
Existing retrieval methods and datasets were selected after an extensive algorithm intercomparison exercise.  ...  The Diversity II water quality dataset consists of several monthly, yearly and 9-year averaged water quality parameters for 340 lakes worldwide and is based on data from the full ENVISAT MERIS operation  ...  We thank the ESA ARC-Lake project for providing the lake surface water temperature products, and Helga Ganz for her contributions to data analysis and visualization.  ... 
doi:10.5194/essd-10-1527-2018 fatcat:sqlekbec3rfhlmz55v4kuobcl4

The OLCI Neural Network Swarm (ONNS): A Bio-Geo-Optical Algorithm for Open Ocean and Coastal Waters

Martin Hieronymi, Dagmar Müller, Roland Doerffer
2017 Frontiers in Marine Science  
The processing scheme of a novel in-water algorithm for the retrieval of ocean color products from Sentinel-3 OLCI is introduced.  ...  The algorithm generates different concentrations of water constituents, inherent and apparent optical properties, and a color index.  ...  The first of a row of consecutive satellites, Sentinel-3A, was launched early in 2016.  ... 
doi:10.3389/fmars.2017.00140 fatcat:wwusxcke3bglxf7n2ao47alyay

QDA-System: A Cloud-Based System for Monitoring Water Quality in Brazilian Hydroelectric Reservoirs from Space

Marcelo Pedroso Curtarelli, Edmar Neto, Fanny de Siqueira, Felipe Yopan, Gilmar Soares, Gilnei Pauli, João de Souza, Luana Silva, Marcio Sagaz, Miguel Demay, Natália Bortolas, Ricardo Yoshimura (+1 others)
2022 Remote Sensing  
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY  ...  and national capacity to develop innovative systems with a high degree of technological content.  ...  Acknowledgments: We would like to thank the Foz do Chapecó S.A. and the Brazilian Electricity Regulatory Agency (ANEEL) for its encouragement, long-term vision, support, and for believing in the local  ... 
doi:10.3390/rs14071541 dblp:journals/remotesensing/CurtarelliNSYSP22 fatcat:xiioweavh5gdjhxqmi7kg7q3le
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