22.2.5.1 Chlorophyll Estimation in Water

Chapter Contents (Back)
Chlorophyll. Leaf Chlorophyll:
See also Chlorophyll Estimation, Chlorophyll Concentration, Chlorophyll Index.
See also Water Quality, Suspended Particulate Matter, Turbidity, Water Areas.
See also Ocean Color Analysis, Ocean Colour Analysis, Water Quality.
See also Cyanobacteria, Analysis, Detection.

Zhan, H.G.[Hai-Gang], Shi, P.[Ping], Chen, C.Q.[Chu-Qun],
Retrieval of oceanic chlorophyll concentration using support vector machines,
GeoRS(41), No. 12, December 2003, pp. 2947-2951.
IEEE Abstract. 0402
BibRef

Kwiatkowska, E.J., Fargion, G.S.,
Application of machine-learning techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data,
GeoRS(41), No. 12, December 2003, pp. 2844-2860.
IEEE Abstract. 0402
BibRef

Alvarez, G.A., Salinas, R.A., Malthus, T.J.,
Integrating CFD modelling, neural networks and remote sensing: controlled prediction of chlorophyll-a concentration in the Mejillones of South Bay,
IET-CV(1), No. 2, June 2007, pp. 55-65.
DOI Link 0905
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Montes-Hugo, M., Fiorani, L., Marullo, S., Roy, S., Gagné, J., Borelli, R., Demers, S., Palucci, A.,
A Comparison between Local and Global Spaceborne Chlorophyll Indices in the St. Lawrence Estuary,
RS(4), No. 12, December 2012, pp. 3666-3688.
DOI Link 1211
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El-Alem, A.[Anas], Chokmani, K.[Karem], Laurion, I.[Isabelle], El-Adlouni, S.E.[Sallah E.],
Comparative Analysis of Four Models to Estimate Chlorophyll-a Concentration in Case-2 Waters Using MODerate Resolution Imaging Spectroradiometer (MODIS) Imagery,
RS(4), No. 8, August 2012, pp. 2373-2400.
DOI Link 1209
BibRef

El-Alem, A.[Anas], Chokmani, K.[Karem], Laurion, I.[Isabelle], El-Adlouni, S.E.[Sallah E.],
An Adaptive Model to Monitor Chlorophyll-a in Inland Waters in Southern Quebec Using Downscaled MODIS Imagery,
RS(6), No. 7, 2014, pp. 6446-6471.
DOI Link 1408
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Morales, C.E.[Carmen E.], Hormazabal, S.[Samuel], Andrade, I.[Isabel], Correa-Ramirez, M.A.[Marco A.],
Time-Space Variability of Chlorophyll-a and Associated Physical Variables within the Region off Central-Southern Chile,
RS(5), No. 11, 2013, pp. 5550-5571.
DOI Link 1312
BibRef

Ha, N.T.T.[Nguyen Thi Thu], Koike, K.[Katsuaki], Nhuan, M.T.[Mai Trong],
Improved Accuracy of Chlorophyll-a Concentration Estimates from MODIS Imagery Using a Two-Band Ratio Algorithm and Geostatistics: As Applied to the Monitoring of Eutrophication Processes over Tien Yen Bay (Northern Vietnam),
RS(6), No. 1, 2013, pp. 421-442.
DOI Link 1402
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Ha, N.T.T.[Nguyen Thi Thu], Thao, N.T.P.[Nguyen Thien Phuong], Koike, K.[Katsuaki], Nhuan, M.T.[Mai Trong],
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),
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710
BibRef

Ogashawara, I.[Igor], Alcântara, E.H.[Enner H.], Curtarelli, M.P.[Marcelo P.], Adami, M.[Marcos], Nascimento, R.F.F.[Renata F. F.], Souza, A.F.[Arley F.], Stech, J.L.[José L.], Kampel, M.[Milton],
Performance Analysis of MODIS 500-m Spatial Resolution Products for Estimating Chlorophyll-a Concentrations in Oligo- to Meso-Trophic Waters Case Study: Itumbiara Reservoir, Brazil,
RS(6), No. 2, 2014, pp. 1634-1653.
DOI Link 1403
BibRef

Couto, A.B.[André B.], Holbrook, N.J.[Neil J.], Maharaj, A.M.[Angela M.],
Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing,
RS(5), No. 8, 2013, pp. 4067-4087.
DOI Link 1309
BibRef

Zhou, L.[Liguo], Roberts, D.A.[Dar A.], Ma, W.C.[Wei-Chun], Zhang, H.[Hao], Tang, L.[Lin],
Estimation of higher chlorophylla concentrations using field spectral measurement and HJ-1A hyperspectral satellite data in Dianshan Lake, China,
PandRS(88), No. 1, 2014, pp. 41-47.
Elsevier DOI 1402
Hyperspectral BibRef

Song, K.[Kaishan], Li, L.[Lin], Li, S.[Shuai], Tedesco, L., Duan, H.T.[Hong-Tao], Li, Z.[Zuchuan], Shi, K.[Kun], Du, J.[Jia], Zhao, Y.[Ying], Shao, T.T.[Tian-Tian],
Using Partial Least Squares-Artificial Neural Network for Inversion of Inland Water Chlorophyll-a,
GeoRS(52), No. 2, February 2014, pp. 1502-1517.
IEEE DOI 1402
calibration BibRef

Yu, G.L.[Gong-Liang], Yang, W.[Wei], Matsushita, B.[Bunkei], Li, R.H.[Ren-Hui], Oyama, Y.[Yoichi], Fukushima, T.[Takehiko],
Remote Estimation of Chlorophyll-a in Inland Waters by a NIR-Red-Based Algorithm: Validation in Asian Lakes,
RS(6), No. 4, 2014, pp. 3492-3510.
DOI Link 1405
BibRef

Huang, C.C.[Chang-Chun], Zou, J.[Jun], Li, Y.M.[Yun-Mei], Yang, H.[Hao], Shi, K.[Kun], Li, J.[Junsheng], Wang, Y.H.[Yan-Hua], Chena, X.[Xia], Zheng, F.[Fa],
Assessment of NIR-red algorithms for observation of chlorophyll-a in highly turbid inland waters in China,
PandRS(93), No. 1, 2014, pp. 29-39.
Elsevier DOI 1407
Optimal spectral band BibRef

Zhang, Y.C.[Yu-Chao], Ma, R.H.[Rong-Hua], Duan, H.T.[Hong-Tao], Loiselle, S.[Steven], Xu, J.[Jinduo],
A Spectral Decomposition Algorithm for Estimating Chlorophyll-a Concentrations in Lake Taihu, China,
RS(6), No. 6, 2014, pp. 5090-5106.
DOI Link 1407
BibRef

Kahru, M.[Mati], Kudela, R.M.[Raphael M.], Anderson, C.R.[Clarissa R.], Manzano-Sarabia, M.[Marlenne], Mitchell, B.G.[B. Greg],
Evaluation of Satellite Retrievals of Ocean Chlorophyll-a in the California Current,
RS(6), No. 9, 2014, pp. 8524-8540.
DOI Link 1410
BibRef

Qi, L.[Lin], Hu, C.M.[Chuan-Min], Duan, H.T.[Hong-Tao], Barnes, B.B.[Brian B.], Ma, R.H.[Rong-Hua],
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,
RS(6), No. 11, 2014, pp. 10694-10715.
DOI Link 1412
BibRef

Augusto-Silva, P.B.[Pétala B.], Ogashawara, I.[Igor], Barbosa, C.C.F.[Cláudio C. F.], de Carvalho, L.A.S.[Lino A. S.], Jorge, D.S.F.[Daniel S. F.], Fornari, C.I.[Celso Israel], Stech, J.L.[José L.],
Analysis of MERIS Reflectance Algorithms for Estimating Chlorophyll-a Concentration in a Brazilian Reservoir,
RS(6), No. 12, 2014, pp. 11689-11707.
DOI Link 1412
BibRef

Feng, L.[Lian], Hu, C.M.[Chuan-Min], Han, X.X.[Xing-Xing], Chen, X.L.[Xiao-Ling], Qi, L.[Lin],
Long-Term Distribution Patterns of Chlorophyll-a Concentration in China's Largest Freshwater Lake: MERIS Full-Resolution Observations with a Practical Approach,
RS(7), No. 1, 2014, pp. 275-299.
DOI Link 1502
BibRef

Matsushita, B.[Bunkei], Yang, W.[Wei], Yu, G.L.[Gong-Liang], Oyama, Y.[Youichi], Yoshimura, K.[Kazuya], Fukushima, T.[Takehiko],
A hybrid algorithm for estimating the chlorophyll-a concentration across different trophic states in Asian inland waters,
PandRS(102), No. 1, 2015, pp. 28-37.
Elsevier DOI 1503
Chlorophyll-a concentration BibRef

Bao, Y.[Ying], Tian, Q.J.[Qing-Jiu], Chen, M.[Min],
A Weighted Algorithm Based on Normalized Mutual Information for Estimating the Chlorophyll-a Concentration in Inland Waters Using Geostationary Ocean Color Imager (GOCI) Data,
RS(7), No. 9, 2015, pp. 11731.
DOI Link 1511
BibRef

Delgado, A.L.[Ana L.], Loisel, H.[Hubert], Jamet, C.[Cédric], Vantrepotte, V.[Vincent], Perillo, G.M.E.[Gerardo M.E.], Piccolo, M.C.[M. Cintia],
Seasonal and Inter-Annual Analysis of Chlorophyll-a and Inherent Optical Properties from Satellite Observations in the Inner and Mid-Shelves of the South of Buenos Aires Province (Argentina),
RS(7), No. 9, 2015, pp. 11821.
DOI Link 1511
BibRef

Wattelez, G.[Guillaume], Dupouy, C.[Cécile], Mangeas, M.[Morgan], Lefèvre, J.[Jérôme], Touraivane, Frouin, R.[Robert],
A Statistical Algorithm for Estimating Chlorophyll Concentration in the New Caledonian Lagoon,
RS(8), No. 1, 2016, pp. 45.
DOI Link 1602
BibRef

Arabi, B.[Behnaz], Salama, M.S.[Mhd. Suhyb], Wernand, M.R.[Marcel Robert], Verhoef, W.[Wouter],
MOD2SEA: A Coupled Atmosphere-Hydro-Optical Model for the Retrieval of Chlorophyll-a from Remote Sensing Observations in Complex Turbid Waters,
RS(8), No. 9, 2016, pp. 722.
DOI Link 1610
BibRef

Salem, S.I.[Salem Ibrahim], Higa, H.[Hiroto], Kim, H.J.[Hyung-Jun], Kazuhiro, K.[Komatsu], Kobayashi, H.[Hiroshi], Oki, K.[Kazuo], Oki, T.[Taikan],
Multi-Algorithm Indices and Look-Up Table for Chlorophyll-a Retrieval in Highly Turbid Water Bodies Using Multispectral Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Wang, Z.M.[Zuo-Min], Kawamura, K.[Kensuke], Sakuno, Y.[Yuji], Fan, X.Y.[Xin-Yan], Gong, Z.[Zhe], Lim, J.Y.[Jih-Yun],
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,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Al-Naimi, N.[Noora], Raitsos, D.E.[Dionysios E.], Ben-Hamadou, R.[Radhouan], Soliman, Y.[Yousria],
Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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Lins, R.C.[Regina Camara], Martinez, J.M.[Jean-Michel], da Motta Marques, D.[David], Cirilo, J.A.[José Almir], Fragoso, C.R.[Carlos Ruberto],
Assessment of Chlorophyll: A Remote Sensing Algorithms in a Productive Tropical Estuarine-Lagoon System,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Zhang, H.L.[Hai-Long], Qiu, Z.F.[Zhong-Feng], Sun, D.Y.[De-Yong], Wang, S.Q.[Sheng-Qiang], He, Y.J.[Yi-Jun],
Seasonal and Interannual Variability of Satellite-Derived Chlorophyll-a (2000-2012) in the Bohai Sea, China,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Li, W.Z.[Wen-Zhao], El-Askary, H.[Hesham], ManiKandan, K.P., Qurban, M.A.[Mohamed A.], Garay, M.J.[Michael J.], Kalashnikova, O.V.[Olga V.],
Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Salem, S.I.[Salem Ibrahim], Strand, M.H.[Marie Hayashi], Higa, H.[Hiroto], Kim, H.[Hyungjun], Kazuhiro, K.[Komatsu], Oki, K.[Kazuo], Oki, T.[Taikan],
Evaluation of MERIS Chlorophyll-a Retrieval Processors in a Complex Turbid Lake Kasumigaura over a 10-Year Mission,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Carswell, T.[Tyson], Costa, M.[Maycira], Young, E.[Erika], Komick, N.[Nicholas], Gower, J.[Jim], Sweeting, R.[Ruston],
Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Laliberté, J.[Julien], Larouche, P.[Pierre], Devred, E.[Emmanuel], Craig, S.[Susanne],
Chlorophyll-a Concentration Retrieval in the Optically Complex Waters of the St. Lawrence Estuary and Gulf Using Principal Component Analysis,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Watanabe, F.[Fernanda], Rodrigues, T.[Thanan], do Carmo, A.[Alisson], Alcântara, E.H.[Enner Herênio], Shimabukuro, M.[Milton], Imai, N.[Nilton], Bernardo, N.[Nariane], Rotta, L.H.[Luiz Henrique],
Assessment of Scattering Error Correction Techniques for AC-S Meter in a Tropical Eutrophic Reservoir,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
Measurements of absorption coefficients overestimate due to scattering. BibRef

Watanabe, F.[Fernanda], Alcântara, E.H.[Enner Herênio], Imai, N.[Nilton], Rodrigues, T.[Thanan], Bernardo, N.[Nariane],
Estimation of Chlorophyll-a Concentration from Optimizing a Semi-Analytical Algorithm in Productive Inland Waters,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Markogianni, V.[Vassiliki], Kalivas, D.[Dionissios], Petropoulos, G.P.[George P.], Dimitriou, E.[Elias],
An Appraisal of the Potential of Landsat 8 in Estimating Chlorophyll-a, Ammonium Concentrations and Other Water Quality Indicators,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Campos Gomes, A.C.[Ana Carolina], Bernardo, N.[Nariane], Coelho do Carmo, A.[Alisson], Rodrigues, T.[Thanan], Alcântara, E.H.[Enner Herênio],
Diffuse Attenuation Coefficient Retrieval in CDOM Dominated Inland Water with High Chlorophyll-a Concentrations,
RS(10), No. 7, 2018, pp. xx-yy.
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Yang, M.M.[Meng Meng], Ishizaka, J.[Joji], Goes, J.I.[Joaquim I.], do R. Gomes, H.[Helga], de Raús Maúre, E.[Elígio], Hayashi, M.[Masataka], Katano, T.[Toshiya], Fujii, N.[Naoki], Saitoh, K.[Katsuya], Mine, T.[Takayuki], Yamashita, H.[Hirokazu], Fujii, N.[Naoki], Mizuno, A.[Akiko],
Improved MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay, Japan,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Lins, R.C.[Regina Camara], Martinez, J.M.[Jean-Michel], da Motta Marques, D.[David], Cirilo, J.A.[José Almir], Medeiros, P.R.P.[Paulo Ricardo Petter], Júnior, C.R.F.[Carlos Ruberto Fragoso],
A Multivariate Analysis Framework to Detect Key Environmental Factors Affecting Spatiotemporal Variability of Chlorophyll-a in a Tropical Productive Estuarine-Lagoon System,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Lacava, T.[Teodosio], Ciancia, E.[Emanuele], di Polito, C.[Carmine], Madonia, A.[Alice], Pascucci, S.[Simone], Pergola, N.[Nicola], Piermattei, V.[Viviana], Satriano, V.[Valeria], Tramutoli, V.[Valerio],
Evaluation of MODIS: Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Bellacicco, M.[Marco], Ciani, D.[Daniele], Doxaran, D.[David], Vellucci, V.[Vincenzo], Antoine, D.[David], Wang, M.[Menghua], d'Ortenzio, F.[Fabrizio], Marullo, S.[Salvatore],
Assessing the Potential Benefits of the Geostationary Vantage Point for Generating Daily Chlorophyll-a Maps in the Baltic Sea,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
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Ansper, A.[Ave], Alikas, K.[Krista],
Retrieval of Chlorophyll a from Sentinel-2 MSI Data for the European Union Water Framework Directive Reporting Purposes,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
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Molkov, A.A.[Alexander A.], Fedorov, S.V.[Sergei V.], Pelevin, V.V.[Vadim V.], Korchemkina, E.N.[Elena N.],
Regional Models for High-Resolution Retrieval of Chlorophyll a and TSM Concentrations in the Gorky Reservoir by Sentinel-2 Imagery,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
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Xu, M., Liu, H., Beck, R., Lekki, J., Yang, B., Shu, S., Liu, Y., Benko, T., Anderson, R., Tokars, R., Johansen, R., Emery, E., Reif, M.,
Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery,
GeoRS(57), No. 7, July 2019, pp. 4758-4774.
IEEE DOI 1907
Lakes, Adaptation models, Hyperspectral imaging, Atmospheric modeling, Water resources, Airborne hyperspectral, Sentinel-2 multispectral BibRef

Caballero, I.[Isabel], Stumpf, R.P.[Richard P.], Meredith, A.[Andrew],
Preliminary Assessment of Turbidity and Chlorophyll Impact on Bathymetry Derived from Sentinel-2A and Sentinel-3A Satellites in South Florida,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
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NIR-red algorithms-based model for chlorophyll-a retrieval in highly turbid Inland Densu River Basin in South-East Ghana, West Africa,
IET-IPR(13), No. 8, 20 June 2019, pp. 1328-1332.
DOI Link 1906
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Baek, J.Y.[Ji-Yeon], Jo, Y.H.[Young-Heon], Kim, W.[Wonkook], Lee, J.S.[Jong-Seok], Jung, D.[Dawoon], Kim, D.W.[Dae-Won], Nam, J.[Jungho],
A New Algorithm to Estimate Chlorophyll-A Concentrations in Turbid Yellow Sea Water Using a Multispectral Sensor in a Low-Altitude Remote Sensing System,
RS(11), No. 19, 2019, pp. xx-yy.
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Moutier, W.[William], Thomalla, S.J.[Sandy J], Bernard, S.[Stewart], Wind, G.[Galina], Ryan-Keogh, T.J.[Thomas J], Smith, M.E.[Marié E],
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Liu, Y.[Yupeng], Tang, D.[Danling], Evgeny, M.[Morozov],
Chlorophyll Concentration Response to the Typhoon Wind-Pump Induced Upper Ocean Processes Considering Air-Sea Heat Exchange,
RS(11), No. 15, 2019, pp. xx-yy.
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Blix, K.[Katalin], Li, J.[Juan], Massicotte, P.[Philippe], Matsuoka, A.[Atsushi],
Developing a New Machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI,
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Liu, F., Tang, S.,
Evaluation of Red-Peak Algorithms for Chlorophyll Measurement in the Pearl River Estuary,
GeoRS(57), No. 11, November 2019, pp. 8928-8936.
IEEE DOI 1911
Rivers, Sea measurements, Oceans, Satellites, Image color analysis, Optical sensors, Instruments, Chlorophyll, peak enveloped area BibRef

Clay, S.[Stephanie], Peña, A.[Angelica], DeTracey, B.[Brendan], Devred, E.[Emmanuel],
Evaluation of Satellite-Based Algorithms to Retrieve Chlorophyll-a Concentration in the Canadian Atlantic and Pacific Oceans,
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Cairo, C.[Carolline], Barbosa, C.[Claudio], Lobo, F.[Felipe], Novo, E.[Evlyn], Carlos, F.[Felipe], Maciel, D.[Daniel], Júnior, R.F.[Rogério Flores], Silva, E.[Edson], Curtarelli, V.[Victor],
Hybrid Chlorophyll-a Algorithm for Assessing Trophic States of a Tropical Brazilian Reservoir Based on MSI/Sentinel-2 Data,
RS(12), No. 1, 2019, pp. xx-yy.
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Vadakke-Chanat, S., Shanmugam, P.,
A Model for the Vertical Chlorophyll-a Distribution in the Bay of Bengal Using Remote Sensing Data,
GeoRS(58), No. 1, January 2020, pp. 704-712.
IEEE DOI 2001
Sea measurements, Optical variables measurement, Oceans, Optical sensors, Market research, Estimation, Biomass, Bay of Bengal, remote sensing BibRef

Xu, J.[Jian], Gao, C.[Chen], Wang, Y.[Yeqiao],
Extraction of Spatial and Temporal Patterns of Concentrations of Chlorophyll-a and Total Suspended Matter in Poyang Lake Using GF-1 Satellite Data,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Han, Z.H.[Zhao-Hui], He, Y.J.[Yi-Jun], Liu, G.[Guoqiang], Perrie, W.[William],
Application of DINCAE to Reconstruct the Gaps in Chlorophyll-a Satellite Observations in the South China Sea and West Philippine Sea,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Lee, D.[Dabin], Son, S.[SeungHyun], Joo, H.[HuiTae], Kim, K.[Kwanwoo], Kim, M.J.[Myung Joon], Jang, H.K.[Hyo Keun], Yun, M.S.[Mi Sun], Kang, C.K.[Chang-Keun], Lee, S.H.[Sang Heon],
Estimation of the Particulate Organic Carbon to Chlorophyll-a Ratio Using MODIS-Aqua in the East/Japan Sea, South Korea,
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Umbert, M.[Marta], Guimbard, S.[Sebastien], Poy, J.B.[Joaquim Ballabrera], Turiel, A.[Antonio],
Synergy between Ocean Variables: Remotely Sensed Surface Temperature and Chlorophyll Concentration Coherence,
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Cui, T.W., Zhang, J., Wang, K., Wei, J.W., Mu, B., Ma, Y., Zhu, J.H., Liu, R.J., Chen, X.Y.,
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Elsevier DOI 2005
Chlorophyll concentration (Chla), Retrieval algorithm, Optical water type (OWT), Optical classification, Bohai Sea BibRef

Buma, W.G.[Willibroad Gabila], Lee, S.I.[Sang-Il],
Evaluation of Sentinel-2 and Landsat 8 Images for Estimating Chlorophyll-a Concentrations in Lake Chad, Africa,
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Yu, Y.[Yan], Chen, S.B.[Sheng-Bo], Qin, W.[Wenhan], Lu, T.Q.[Tian-Qi], Li, J.[Jian], Cao, Y.J.[Yi-Jing],
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Robles-Tamayo, C.M.[Carlos Manuel], García-Morales, R.[Ricardo], Valdez-Holguín, J.E.[José Eduardo], Figueroa-Preciado, G.[Gudelia], Herrera-Cervantes, H.[Hugo], López-Martínez, J.[Juana], Enríquez-Ocaña, L.F.[Luis Fernando],
Chlorophyll a Concentration Distribution on the Mainland Coast of the Gulf of California, Mexico,
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DOI Link 2004
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Iwasaki, S.[Suginori],
Daily Variation of Chlorophyll-A Concentration Increased by Typhoon Activity,
RS(12), No. 8, 2020, pp. xx-yy.
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Yang, M.M.[Meng-Meng], Goes, J.I.[Joaquim I.], Tian, H.Z.[Hong-Zhen], de R. Maúre, E.[Elígio], Ishizaka, J.[Joji],
Effects of Spring-Neap Tidal Cycle on Spatial and Temporal Variability of Satellite Chlorophyll-A in a Macrotidal Embayment, Ariake Sea, Japan,
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Park, J.[Jinku], Kim, H.C.[Hyun-Cheol], Bae, D.[Dukwon], Jo, Y.H.[Young-Heon],
Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based Machine Learning,
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Yang, X.[Xiao], Xu, G.J.[Guang-Jun], Liu, Y.[Yu], Sun, W.J.[Wen-Jin], Xia, C.S.[Chang-Shui], Dong, C.M.[Chang-Ming],
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Chlorophyll- (chl-), Sentinel-2 MSI, Turbid productive waters, Algorithm validation, Optical water type, Water quality BibRef

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El-Alem, A.[Anas], Chokmani, K.[Karem], Venkatesan, A.[Aarthi], Rachid, L.[Lhissou], Agili, H.[Hachem], Dedieu, J.P.[Jean-Pierre],
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Liu, S.H.[Shu-Hong], Tang, D.[Danling], Yan, H.[Hong], Ning, G.[Guicai], Liu, C.C.[Cheng-Cheng], Yang, Y.J.[Yuan-Jian],
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Rousseaux, C.S.[Cecile S.], Gregg, W.W.[Watson W.], Ott, L.[Lesley],
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Hu, C.M.[Chuan-Min], Feng, L.[Lian], Guan, Q.[Qi],
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IEEE DOI 2106
Oceans, Machine learning algorithms, Water, Machine learning, Image color analysis, Sea measurements, Sensors, Algorithm, Visible Infrared Imaging Radiometer Suite (VIIRS) BibRef

Mamun, M.[Md], Ferdous, J.[Jannatul], An, K.G.[Kwang-Guk],
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Niroumand-Jadidi, M.[Milad], Bovolo, F.[Francesca], Bruzzone, L.[Lorenzo], Gege, P.[Peter],
Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes,
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Hussein, K.A.[Khalid A.], Abdouli, K.A.[Khameis Al], Ghebreyesus, D.T.[Dawit T.], Petchprayoon, P.[Pakorn], Hosani, N.A.[Naeema Al], Sharif, H.O.[Hatim O.],
Spatiotemporal Variability of Chlorophyll-a and Sea Surface Temperature, and Their Relationship with Bathymetry over the Coasts of UAE,
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Perrone, M.[Michela], Scalici, M.[Massimiliano], Conti, L.[Luisa], Moravec, D.[David], Kropácek, J.[Jan], Sighicelli, M.[Maria], Lecce, F.[Francesca], Malavasi, M.[Marco],
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Wang, Y.[Yueqi], Gao, Z.Q.[Zhi-Qiang], Ning, J.[Jicai],
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Li, J.[Junyi], Zheng, H.Y.[Hui-Yuan], Xie, L.L.[Ling-Ling], Zheng, Q.[Quanan], Ling, Z.[Zheng], Li, M.[Min],
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Stramska, M.[Malgorzata], Konik, M.[Marta], Aniskiewicz, P.[Paulina], Jakacki, J.[Jaromir], Darecki, M.[Miroslaw],
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Ye, H.B.[Hai-Bin], Tang, S.L.[Shi-Lin], Yang, C.[Chaoyu],
Deep Learning for Chlorophyll-a Concentration Retrieval: A Case Study for the Pearl River Estuary,
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Mattei, F., Scardi, M.,
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Yadav, S., Yamashiki, Y., Susaki, J., Yamashita, Y., Ishikawa, K.,
Chlorophyll Estimation of Lake Water and Coastal Water Using Landsat-8 And Sentinel-2a Satellite,
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Bao, Y., Tian, Q., Sun, S., Wei, H., Tian, J.,
Seasonal Differences in Spatial Scales of Chlorophyll-a Concentration in Lake Taihu, China,
ISPRS12(XXXIX-B7:269-274).
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Greenhouse Detection, Plastic Mulch Detection and Analysis .


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