Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes

[1]  Tiit Kutser,et al.  Influence of the vertical distribution of cyanobacteria in the water column on the remote sensing signal , 2008 .

[2]  Xinyan Fan,et al.  Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) Regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan , 2017, Remote. Sens..

[3]  M. Schaepman,et al.  Review of constituent retrieval in optically deep and complex waters from satellite imagery , 2012 .

[4]  Ronghua Ma,et al.  Comparison of different semi-empirical algorithms to estimate chlorophyll-a concentration in inland lake water , 2010, Environmental monitoring and assessment.

[5]  Chunmei Cheng,et al.  Estimation of Chlorophyll-a Concentration in Turbid Lake Using Spectral Smoothing and Derivative Analysis , 2013, International journal of environmental research and public health.

[6]  Stephanie C. J. Palmer,et al.  Remote sensing of inland waters: Challenges, progress and future directions , 2015 .

[7]  M. Defoin-Platel,et al.  How ambiguous is the inverse problem of ocean color in coastal waters , 2007 .

[8]  N. Oppelt,et al.  Remote sensing for lake research and monitoring – Recent advances , 2016 .

[9]  Daniel Odermatt,et al.  Retrieval of vertical particle concentration profiles by optical remote sensing: a model study. , 2014, Optics express.

[10]  Yuri A. Gritz,et al.  Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. , 2003, Journal of plant physiology.

[11]  Bin He,et al.  Identification of long-term trends and seasonality in high-frequency water quality data from the Yangtze River basin, China , 2018, PloS one.

[12]  S. Wold,et al.  PLS-regression: a basic tool of chemometrics , 2001 .

[13]  C. Mobley,et al.  Estimation of the remote-sensing reflectance from above-surface measurements. , 1999, Applied optics.

[14]  Assefa M. Melesse,et al.  A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques , 2016, Sensors.

[15]  E. Boss,et al.  Modeling the spectral shape of absorption by chromophoric dissolved organic matter , 2004 .

[16]  Stephen R. Carpenter,et al.  State of the world's freshwater ecosystems: physical, chemical, and biological changes. , 2011 .

[17]  P. Kasprzak,et al.  Assessing in situ dominance pattern of phytoplankton classes by dominance analysis as a proxy for realized niches. , 2016, Harmful algae.

[18]  K. Ali,et al.  Multivariate approach for chlorophyll-a and suspended matter retrievals in Case II type waters using hyperspectral data , 2013 .

[19]  Stefan Hinz,et al.  Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity , 2018, International journal of environmental research and public health.

[20]  K. Ali,et al.  Application of a partial least-squares regression model to retrieve chlorophyll-a concentrations in coastal waters using hyper-spectral data , 2016, Ocean Science Journal.

[21]  Tiit Kutser,et al.  Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters , 2016, Remote. Sens..

[22]  J. D. Ritchie,et al.  Absorption spectral slopes and slope ratios as indicators of molecular weight, source, and photobleaching of chromophoric dissolved organic matter , 2008 .

[23]  D. Pierson,et al.  The effects of variability in the inherent optical properties on estimations of chlorophyll a by remote sensing in Swedish freshwaters. , 2001, The Science of the total environment.

[24]  Hans-Peter Grossart,et al.  Patterns and drivers of deep chlorophyll maxima structure in 100 lakes: The relative importance of light and thermal stratification , 2018 .

[25]  K. Cho,et al.  Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir , 2020 .

[26]  Ronghua Ma,et al.  An approach to correct the effects of phytoplankton vertical nonuniform distribution on remote sensing reflectance of cyanobacterial bloom waters , 2017 .

[27]  R. Doerffer,et al.  Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives , 2018, Surveys in Geophysics.

[28]  A. Abel,et al.  Impact of erosion-transported overburden dump materials on water quality in Lake Cospuden evolved from a former open cast lignite mine south of Leipzig, Germany , 2000 .

[29]  K. Song,et al.  Retrieval of CDOM and DOC Using In Situ Hyperspectral Data: A Case Study for Potable Waters in Northeast China , 2016, Journal of the Indian Society of Remote Sensing.

[30]  Sebastian Riedel,et al.  Retrieval of Water Constituents from Hyperspectral In-Situ Measurements under Variable Cloud Cover - A Case Study at Lake Stechlin (Germany) , 2018, Remote. Sens..

[31]  Adrian Wagner,et al.  Proximal VIS-NIR spectrometry to retrieve substance concentrations in surface waters using partial least squares modelling , 2018, Water Supply.

[32]  Donald C. Rundquist,et al.  Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir , 1997 .

[33]  Daniel Odermatt,et al.  Effects of non-uniform vertical constituent profiles on remote sensing reflectance of oligo- to mesotrophic lakes , 2018 .

[34]  Hyuk Lee,et al.  High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery , 2018, Remote. Sens..

[35]  M. Matthews.  A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters , 2011 .

[36]  Chuanmin Hu,et al.  Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions , 2015 .

[37]  Lin Li,et al.  Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model , 2013 .

[38]  Thanan Rodrigues,et al.  Atmospheric correction issues for retrieving total suspended matter concentrations in inland waters using OLI/Landsat-8 image , 2017 .

[39]  Jerzy Dera,et al.  Remote sensing reflectance of Pomeranian lakes and the Baltic , 2011 .

[40]  Michael Vohland,et al.  Use of A Portable Camera for Proximal Soil Sensing with Hyperspectral Image Data , 2015, Remote. Sens..

[41]  Stewart Bernard,et al.  Characterizing the Absorption Properties for Remote Sensing of Three Small Optically-Diverse South African Reservoirs , 2013, Remote. Sens..

[42]  M. Bauer,et al.  Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters , 2015 .

[43]  Scot E. Smith,et al.  In situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system , 2011 .

[44]  Yong Q. Tian,et al.  An assessment of remote sensing algorithms for colored dissolved organic matter in complex freshwater environments , 2014 .

[45]  S. Sterckx,et al.  Detection and correction of adjacency effects in hyperspectral airborne data of coastal and inland waters: the use of the near infrared similarity spectrum , 2011 .

[46]  Yuchao Zhang,et al.  A Remote Sensing Approach to Estimate Vertical Profile Classes of Phytoplankton in a Eutrophic Lake , 2015, Remote. Sens..

[47]  Dariusz Stramski,et al.  Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe , 2003 .