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On Suitability of MODIS Satellite Chlorophyll Products for the Baltic Sea Conditions.
- Published in:
- Environmental Research, Engineering & Management / Aplinkos Tyrimai, Inžinerija ir Vadyba, 2008, v. 44, n. 2, p. 4
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- Article
Remote Quantification of the Trophic Status of Chinese Lakes.
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- Hydrology & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/hess-2022-91
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- Article
Resolving biogeochemical processes in lakes using remote sensing.
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- Aquatic Sciences, 2019, v. 81, n. 2, p. 1, doi. 10.1007/s00027-019-0626-3
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- Article
Variations in colored dissolved organic matter between boreal lakes studied by satellite remote sensing.
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- Journal of Applied Remote Sensing, 2009, v. 3, n. 1, p. 033538, doi. 10.1117/1.3184437
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- Article
Mapping Baltic Sea shallow water environments with airborne remote sensing.
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- Oceanology (00014370), 2012, v. 52, n. 6, p. 803, doi. 10.1134/S0001437012060148
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- Article
A global inventory of lakes based on high-resolution satellite imagery.
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- Geophysical Research Letters, 2014, v. 41, n. 18, p. 6396, doi. 10.1002/2014GL060641
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- Article
Mapping bathymetry and shallow water benthic habitats in inland and coastal waters with Sentinel-2.
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- Journal of Limnology, 2023, v. 82, p. 12, doi. 10.4081/jlimnol.2023.2091
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- Publication type:
- Article
Parameterization of chlorophyll-specific phytoplankton absorption coefficients for productive lake waters.
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- Journal of Limnology, 2016, v. 75, n. 3, p. 423, doi. 10.4081/jlimnol.2016.1426
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- Article
Predicting Species Cover of Marine Macrophyte and Invertebrate Species Combining Hyperspectral Remote Sensing, Machine Learning and Regression Techniques.
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- PLoS ONE, 2013, v. 8, n. 6, p. 1, doi. 10.1371/journal.pone.0063946
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- Article
Relating Remotely Sensed Optical Variability to Marine Benthic Biodiversity.
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- PLoS ONE, 2013, v. 8, n. 2, p. 1, doi. 10.1371/journal.pone.0055624
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- Article
Optical types of inland and coastal waters.
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- Limnology & Oceanography, 2018, v. 63, n. 2, p. 846, doi. 10.1002/lno.10674
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- Article
Lakes and reservoirs as regulators of carbon cycling and climate.
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- Limnology & Oceanography, 2009, v. 54, p. 3
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- Publication type:
- Article
Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing.
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- Limnology & Oceanography, 2004, v. 49, n. 6, p. 2179, doi. 10.4319/lo.2004.49.6.2179
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- Publication type:
- Article
Modeling spectral discrimination of Great Barrier Reef benthic communities by remote sensing instruments.
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- Limnology & Oceanography, 2003, v. 48, n. 1, p. 497, doi. 10.4319/lo.2003.48.1_part_2.0497
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- Publication type:
- Article
Management Options to Improve Water Quality in Lake Peipsi: Insights from Large Scale Models and Remote Sensing.
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- Water Resources Management, 2020, v. 34, n. 7, p. 2241, doi. 10.1007/s11269-018-2156-5
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- Article
Satellite data is revealing long time changes in the world largest lakes.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-65250-7
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- Publication type:
- Article
Remote quantification of the trophic status of Chinese lakes.
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- Hydrology & Earth System Sciences, 2023, v. 27, n. 19, p. 3581, doi. 10.5194/hess-27-3581-2023
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- Publication type:
- Article
Using Satellite Remote Sensing to Estimate the Colored Dissolved Organic Matter Absorption Coefficient in Lakes.
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- Ecosystems, 2005, v. 8, n. 6, p. 709, doi. 10.1007/s10021-003-0148-6
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- Article
Predicting lake dissolved organic carbon at a global scale.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-65010-3
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- Article
Global divergent trends of algal blooms detected by satellite during 1982–2018.
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- Global Change Biology, 2022, v. 28, n. 7, p. 2327, doi. 10.1111/gcb.16077
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- Article
Assessing Seasonal and Inter-Annual Changes in the Total Cover of Submerged Aquatic Vegetation Using Sentinel-2 Imagery.
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- Remote Sensing, 2024, v. 16, n. 8, p. 1396, doi. 10.3390/rs16081396
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- Article
Drought Offsets the Controls on Colored Dissolved Organic Matter in Lakes.
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- Remote Sensing, 2024, v. 16, n. 8, p. 1345, doi. 10.3390/rs16081345
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- Article
Estimation of the Biogeochemical and Physical Properties of Lakes Based on Remote Sensing and Artificial Intelligence Applications.
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- Remote Sensing, 2024, v. 16, n. 3, p. 464, doi. 10.3390/rs16030464
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- Publication type:
- Article
Lake Turbidity Mapping Using an OWTs-bp Based Framework and Sentinel-2 Imagery.
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- Remote Sensing, 2023, v. 15, n. 10, p. 2489, doi. 10.3390/rs15102489
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- Article
Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation.
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- Remote Sensing, 2022, v. 14, n. 5, p. N.PAG, doi. 10.3390/rs14051114
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- Article
A Model-Based Assessment of Canopy-Scale Primary Productivity for the Baltic Sea Benthic Vegetation Using Environmental Variables and Spectral Indices.
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- Remote Sensing, 2022, v. 14, n. 1, p. 158, doi. 10.3390/rs14010158
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- Publication type:
- Article
Spatio-Temporal Variability in Bio-Optical Properties of the Southern Caspian Sea: A Historic Analysis of Ocean Color Data.
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- Remote Sensing, 2020, v. 12, n. 23, p. 3975, doi. 10.3390/rs12233975
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- Article
Spatio-Temporal Variability of Phytoplankton Primary Production in Baltic Lakes Using Sentinel-3 OLCI Data.
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- Remote Sensing, 2020, v. 12, n. 15, p. 2415, doi. 10.3390/rs12152415
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- Article
Detecting Long Time Changes in Benthic Macroalgal Cover Using Landsat Image Archive.
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- Remote Sensing, 2020, v. 12, n. 11, p. 1901, doi. 10.3390/rs12111901
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- Article
Performance and Applicability of Water Column Correction Models in Optically Complex Coastal Waters.
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- Remote Sensing, 2020, v. 12, n. 11, p. 1861, doi. 10.3390/rs12111861
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- Article
Correction: Al-Kharusi, E.S., et al. Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data. Remote Sensing 2020, 12(1), p.157.
- Published in:
- 2020
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- Publication type:
- Correction Notice
Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data.
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- Remote Sensing, 2020, v. 12, n. 1, p. 157, doi. 10.3390/rs12010157
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- Article
Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3.
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- Remote Sensing, 2019, v. 11, n. 23, p. 2883, doi. 10.3390/rs11232883
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- Article
Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument Imagery in the Baltic Sea.
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- Remote Sensing, 2017, v. 9, n. 10, p. 1070, doi. 10.3390/rs9101070
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- Article
First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery.
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- Remote Sensing, 2016, v. 8, n. 8, p. 640, doi. 10.3390/rs8080640
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- Article
Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters.
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- Remote Sensing, 2016, v. 8, n. 6, p. 497, doi. 10.3390/rs8060497
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- Article
Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods.
- Published in:
- Remote Sensing, 2013, v. 5, n. 6, p. 2451, doi. 10.3390/rs5052451
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- Article
Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods.
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- Remote Sensing, 2013, v. 5, n. 5, p. 2451, doi. 10.3390/rs5052451
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- Publication type:
- Article
Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data.
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- Sensors (14248220), 2020, v. 20, n. 3, p. 742, doi. 10.3390/s20030742
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- Article
Shifts, Trends, and Drivers of Lake Color Across China Since the 1980s.
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- Geophysical Research Letters, 2023, v. 50, n. 8, p. 1, doi. 10.1029/2023GL103225
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- Article
Deploying a GIS-Based Multi-Criteria Evaluation (MCE) Decision Rule for Site Selection of Desalination Plants.
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- Water (20734441), 2022, v. 14, n. 10, p. 1669, doi. 10.3390/w14101669
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- Publication type:
- Article
Effects of different conditions on particle dynamics and properties in West-Estonian coastal areas.
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- Oceanologia, 2022, v. 64, n. 4, p. 694, doi. 10.1016/j.oceano.2022.06.006
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- Article
Developing a GIS-Based Decision Rule for Sustainable Marine Aquaculture Site Selection: An Application of the Ordered Weighted Average Procedure.
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- Sustainability (2071-1050), 2021, v. 13, n. 5, p. 2672, doi. 10.3390/su13052672
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- Article
On the possibility to map submerged aquatic vegetation cover with Sentinel-2 in low-transparency waters.
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- Journal of Applied Remote Sensing, 2023, v. 17, n. 4, p. 44506, doi. 10.1117/1.JRS.17.044506
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- Article
Evaluation of remote sensing and modeled chlorophyll-a products of the Baltic Sea.
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- Journal of Applied Remote Sensing, 2022, v. 16, n. 4, p. 46516, doi. 10.1117/1.JRS.16.046516
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- Article
How much benthic information can be retrieved with hyperspectral sensor from the optically complex coastal waters?
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- Journal of Applied Remote Sensing, 2020, v. 14, n. 1, p. 16504, doi. 10.1117/1.JRS.14.016504
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- Article
Airborne mapping of shallow water bathymetry in the optically complex waters of the Baltic Sea.
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- Journal of Applied Remote Sensing, 2016, v. 10, n. 2, p. 025012-1, doi. 10.1117/1.JRS.10.025012
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- Publication type:
- Article
Testing the performance of empirical remote sensing algorithms in the Baltic Sea waters with modelled and in situ reflectance data.
- Published in:
- Oceanologia, 2017, v. 59, n. 1, p. 57, doi. 10.1016/j.oceano.2016.08.002
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- Article
Field measurements of spectral backscattering coefficient of the Baltic Sea and boreal lakes.
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- Boreal Environment Research, 2009, v. 14, n. 2, p. 305
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- Article
Optical properties of boreal lake waters in Finland and Estonia.
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- Boreal Environment Research, 2008, v. 13, n. 2, p. 133
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- Article