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Optimization of Landsat Chl-a Retrieval Algorithms in Freshwater Lakes through Classification of Optical Water Types
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Optical types of inland and coastal waters
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Marine Optics and Ocean Color Remote Sensing
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Light scattering in planetary atmospheres
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Optical water types found in Brazilian waters
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Real-time segmentation of remote sensing images with a combination of clustering and Bayesian approaches
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Remote Sensing of Inland Waters
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A novel MODIS algorithm to estimate chlorophyll a concentration in eutrophic turbid lakes
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The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM)
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Segmentation and classification of hyperspectral images using watershed transformation
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Understanding variation in trophic status of lakes on the Boreal Plain: A 20 year retrospective using Landsat TM imagery
inferredcites →https://doi.org/10.1016/j.rse.2007.01.016openalex-snapshot
Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study
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A 20-year Landsat water clarity census of Minnesota's 10,000 lakes
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Extraction of remote sensing-based forest management units in tropical forests
inferredcites →https://doi.org/10.1016/j.rse.2013.11.021openalex-snapshot
An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters
inferredcites →https://doi.org/10.1016/j.rse.2014.10.010openalex-snapshot
Improved algorithm for routine monitoring of cyanobacteria and eutrophication in inland and near-coastal waters
inferredcites →https://doi.org/10.1016/j.rse.2016.01.007openalex-snapshot
Comparison of Landsat 8 and Landsat 7 for regional measurements of CDOM and water clarity in lakes
inferredcites →https://doi.org/10.1016/j.rse.2016.04.011openalex-snapshot
Landsat 8: Providing continuity and increased precision for measuring multi-decadal time series of total suspended matter
inferredcites →https://doi.org/10.1016/j.rse.2016.04.015openalex-snapshot
The impact of improved signal-to-noise ratios on algorithm performance: Case studies for Landsat class instruments
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An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications
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Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
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Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach
inferredcites →https://doi.org/10.1016/s0273-1177(03)00365-xopenalex-snapshot
Performance of the MODIS semi-analytical ocean color algorithm for chlorophyll-a
inferredcites →https://doi.org/10.1029/2003gl018065openalex-snapshot
Towards a unified approach for remote estimation of chlorophyll‐a in both terrestrial vegetation and turbid productive waters
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Evaluation of medium to low resolution satellite imagery for regional lake water quality assessments
inferredcites →https://doi.org/10.1029/98jc02160openalex-snapshot
Ocean color chlorophyll algorithms for SeaWiFS
inferredcites →https://doi.org/10.1038/s43247-021-00106-wopenalex-snapshot
The vulnerability of lakes to climate change along an altitudinal gradient
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An Optimal Two Bands Ratio Model to Monitor Chlorophyll-a in Urban Lake Using Landsat 8 Data
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Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
inferredcites →https://doi.org/10.1080/014311601450059openalex-snapshot
Determination of chlorophyll concentration changes in Lake Garda using an image-based radiative transfer code for Landsat TM images
inferredcites →https://doi.org/10.1080/01431160310001592445openalex-snapshot
On the potential of MODIS and MERIS for imaging chlorophyll fluorescence from space
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Estimating and mapping chlorophyll‐ a concentration in Pensacola Bay, Florida using Landsat ETM+ data
inferredcites →https://doi.org/10.1080/01431161.2010.512947openalex-snapshot
A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters
inferredcites →https://doi.org/10.1080/01431161.2017.1404164openalex-snapshot
Effects of sediments and coloured dissolved organic matter on remote sensing of chlorophyll-a using Landsat TM/ETM+ over turbid waters
inferredcites →https://doi.org/10.1080/01431161.2018.1430912openalex-snapshot
Monitoring algal blooms in drinking water reservoirs using the Landsat-8 Operational Land Imager
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The spectral responses of algal chlorophyll in water with varying levels of suspended sediment
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inferredcites →https://doi.org/10.1080/07438140509354442openalex-snapshot
Landsat-based Remote Sensing of Lake Water Quality Characteristics, Including Chlorophyll and Colored Dissolved Organic Matter (CDOM)
inferredcites →https://doi.org/10.1080/07438141.2011.557765openalex-snapshot
Algal blooms in Ontario, Canada: Increases in reports since 1994
inferredcites →https://doi.org/10.1088/1748-9326/4/4/045005openalex-snapshot
Estimation of chlorophyll- a concentration in case II waters using MODIS and MERIS data—successes and challenges
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Estimation of chlorophyll-a concentration in productive turbid waters using a Hyperspectral Imager for the Coastal Ocean—the Azov Sea case study
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A fuzzy logic classification scheme for selecting and blending satellite ocean color algorithms
inferredcites →https://doi.org/10.1109/jstars.2014.2340856openalex-snapshot
Blue–Red–NIR Model for Chlorophyll- a Retrieval in Hypersaline–Alkaline Water Using Landsat ETM+ Sensor
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A Hybrid EOF Algorithm to Improve MODIS Cyanobacteria Phycocyanin Data Quality in a Highly Turbid Lake: Bloom and Nonbloom Condition
inferredcites →https://doi.org/10.1109/tgrs.2003.818464openalex-snapshot
Revised landsat-5 tm radiometric calibration procedures and postcalibration dynamic ranges
inferredcites →https://doi.org/10.1109/tgrs.2019.2933251openalex-snapshot
Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI, and OLCI Sensors
inferredcites →https://doi.org/10.1111/brv.12480openalex-snapshot
Emerging threats and persistent conservation challenges for freshwater biodiversity
inferredcites →https://doi.org/10.1111/j.1752-1688.2006.tb06029.xopenalex-snapshot
LAKE WATER QUALITY ASSESSMENT FROM LANDSAT THEMATIC MAPPER DATA USING NEURAL NETWORK: AN APPROACH TO OPTIMAL BAND COMBINATION SELECTION1
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New algorithm for MODIS chlorophyll fluorescence height retrieval: performance and comparison with the current product
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Blooming algae: a Canadian perspective on the rise of toxic cyanobacteria
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On Rayleigh Optical Depth Calculations
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Revised depolarization corrections for atmospheric extinction
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Rayleigh-scattering calculations for the terrestrial atmosphere
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Atmospheric correction of satellite ocean color imagery: the black pixel assumption
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Transformation of a high-dimensional color space for material classification
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The OLCI Neural Network Swarm (ONNS): A Bio-Geo-Optical Algorithm for Open Ocean and Coastal Waters
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Selecting the Best Band Ratio to Estimate Chlorophyll-a Concentration in a Tropical Freshwater Lake Using Sentinel 2A Images from a Case Study of Lake Ba Be (Northern Vietnam)
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Inland Water Atmospheric Correction Based on Turbidity Classification Using OLCI and SLSTR Synergistic Observations
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Toward Long-Term Aquatic Science Products from Heritage Landsat Missions
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Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters
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Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies
inferredcites →https://doi.org/10.3390/rs13091847openalex-snapshot
Comparing PlanetScope to Landsat-8 and Sentinel-2 for Sensing Water Quality in Reservoirs in Agricultural Watersheds
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An EOF-Based Algorithm to Estimate Chlorophyll a Concentrations in Taihu Lake from MODIS Land-Band Measurements: Implications for Near Real-Time Applications and Forecasting Models
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Efficient Wetland Surface Water Detection and Monitoring via Landsat: Comparison with in situ Data from the Everglades Depth Estimation Network
inferredcites →https://doi.org/10.3390/rs8110941openalex-snapshot
Water Constituents and Water Depth Retrieval from Sentinel-2A—A First Evaluation in an Oligotrophic Lake
inferredcites →https://doi.org/10.3390/rs8110964openalex-snapshot
Spatial Distribution of Diffuse Attenuation of Photosynthetic Active Radiation and Its Main Regulating Factors in Inland Waters of Northeast China
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SNR (Signal-To-Noise Ratio) Impact on Water Constituent Retrieval from Simulated Images of Optically Complex Amazon Lakes
inferredcites →https://doi.org/10.3390/rs9080807openalex-snapshot
Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery
inferredcites →https://doi.org/10.3390/s16081298openalex-snapshot
A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques
inferredcites →https://doi.org/10.3390/s17081746openalex-snapshot
Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands
inferredcites →https://doi.org/10.4236/jwarp.2011.31008openalex-snapshot
Spectral Geometric Triangle Properties of Chlorophyll-A Inversion in Taihu Lake Based on TM Data
inferredcites →https://doi.org/10.4319/lo.2005.50.1.0237openalex-snapshot
Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water
inferredcites →https://doi.org/10.4319/lo.2009.54.6_part_2.2283openalex-snapshot
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OPTMIZATION OF BIO-OPTICAL MODEL PARAMETERS FOR TURBID LAKE WATER QUALITY ESTIMATION USING LANDSAT 8 AND WASI-2D
inferredcites →https://doi.org/10.5194/isprsarchives-xl-7-w3-1511-2015openalex-snapshot
Can single empirical algorithms accurately predict inland shallow water quality status from high resolution, multi-sensor, multi-temporal satellite data?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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