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Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters

International journal of remote sensing, 2009-01, Vol.30 (17), p.4401-4425

Kutser, Tiit

2009

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Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data

Sensors (Basel, Switzerland), 2020-01, Vol.20 (3), p.742

2020

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Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea

Remote sensing (Basel, Switzerland), 2017-10, Vol.9 (10), p.1070

2017

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Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters

Remote Sensing, 2016-06, Vol.8 (6), p.497

2016

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Mapping spatial distribution, percent cover and biomass of benthic vegetation in optically complex coastal waters using hyperspectral CASI and multispectral Sentinel-2 sensors

International journal of applied earth observation and geoinformation, 2021-10, Vol.102, p.102444, Article 102444

2021

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Removing glint effects from field radiometry data measured in optically complex coastal and inland waters

Remote sensing of environment, 2013-06, Vol.133, p.85-89

2013

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The possibility of using the Landsat image archive for monitoring long time trends in coloured dissolved organic matter concentration in lake waters

Remote sensing of environment, 2012-08, Vol.123, p.334-338

Kutser, Tiit

2012

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Lake Turbidity Mapping Using an OWTs-bp Based Framework and Sentinel-2 Imagery

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (10), p.2489

2023

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Performance and Applicability of Water Column Correction Models in Optically Complex Coastal Waters

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1861

2020

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Assessing Seasonal and Inter-Annual Changes in the Total Cover of Submerged Aquatic Vegetation Using Sentinel-2 Imagery

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1396

2024

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Estimation of the Biogeochemical and Physical Properties of Lakes Based on Remote Sensing and Artificial Intelligence Applications

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (3), p.464

2024

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Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Remote sensing (Basel, Switzerland), 2013-05, Vol.5 (5), p.2451-2474

2013

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Spatio-Temporal Variability in Bio-Optical Properties of the Southern Caspian Sea: A Historic Analysis of Ocean Color Data

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3975

2020

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Management Options to Improve Water Quality in Lake Peipsi: Insights from Large Scale Models and Remote Sensing

Water resources management, 2020-05, Vol.34 (7), p.2241-2254

2020

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Detecting Long Time Changes in Benthic Macroalgal Cover Using Landsat Image Archive

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1901

2020

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Trophic state assessment of optically diverse lakes using Sentinel-3-derived trophic level index

International journal of applied earth observation and geoinformation, 2022-11, Vol.114, p.103026, Article 103026

2022

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Deriving Nutrient Concentrations from Sentinel-3 OLCI Data in North-Eastern Baltic Sea

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (6), p.1487

2022

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Predicting macroalgal pigments (chlorophyll a, chlorophyll b, chlorophyll a + b, carotenoids) in various environmental conditions using high-resolution hyperspectral spectroradiometers

International journal of remote sensing, 2018-09, Vol.39 (17), p.5716-5738

2018

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A Model-Based Assessment of Canopy-Scale Primary Productivity for the Baltic Sea Benthic Vegetation Using Environmental Variables and Spectral Indices

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (1), p.158

2022

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Spatial-temporal distribution of labeled set bias remote sensing estimation: An implication for supervised machine learning in water quality monitoring

International journal of applied earth observation and geoinformation, 2024-07, Vol.131, p.103959, Article 103959

2024

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Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (5), p.1114

2022

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Drought Offsets the Controls on Colored Dissolved Organic Matter in Lakes

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1345

2024

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Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.157

2020

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Spatio-Temporal Variability of Phytoplankton Primary Production in Baltic Lakes Using Sentinel-3 OLCI Data

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2415

2020

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Feasibility of hyperspectral remote sensing for mapping benthic macroalgal cover in turbid coastal waters—a Baltic Sea case study

Remote sensing of environment, 2006-04, Vol.101 (3), p.342-351

2006

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Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters

Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data

Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea

Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters

Mapping spatial distribution, percent cover and biomass of benthic vegetation in optically complex coastal waters using hyperspectral CASI and multispectral Sentinel-2 sensors

Removing glint effects from field radiometry data measured in optically complex coastal and inland waters

The possibility of using the Landsat image archive for monitoring long time trends in coloured dissolved organic matter concentration in lake waters

Lake Turbidity Mapping Using an OWTs-bp Based Framework and Sentinel-2 Imagery

Performance and Applicability of Water Column Correction Models in Optically Complex Coastal Waters

Assessing Seasonal and Inter-Annual Changes in the Total Cover of Submerged Aquatic Vegetation Using Sentinel-2 Imagery

Estimation of the Biogeochemical and Physical Properties of Lakes Based on Remote Sensing and Artificial Intelligence Applications

Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Spatio-Temporal Variability in Bio-Optical Properties of the Southern Caspian Sea: A Historic Analysis of Ocean Color Data

Management Options to Improve Water Quality in Lake Peipsi: Insights from Large Scale Models and Remote Sensing

Detecting Long Time Changes in Benthic Macroalgal Cover Using Landsat Image Archive

Trophic state assessment of optically diverse lakes using Sentinel-3-derived trophic level index

Deriving Nutrient Concentrations from Sentinel-3 OLCI Data in North-Eastern Baltic Sea

Predicting macroalgal pigments (chlorophyll a, chlorophyll b, chlorophyll a + b, carotenoids) in various environmental conditions using high-resolution hyperspectral spectroradiometers

A Model-Based Assessment of Canopy-Scale Primary Productivity for the Baltic Sea Benthic Vegetation Using Environmental Variables and Spectral Indices

Spatial-temporal distribution of labeled set bias remote sensing estimation: An implication for supervised machine learning in water quality monitoring

Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation

Drought Offsets the Controls on Colored Dissolved Organic Matter in Lakes

Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data

Spatio-Temporal Variability of Phytoplankton Primary Production in Baltic Lakes Using Sentinel-3 OLCI Data

Feasibility of hyperspectral remote sensing for mapping benthic macroalgal cover in turbid coastal waters—a Baltic Sea case study

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