22.1.6.9 Chlorophyll Estimation, Chlorophyll Concentration, Chlorophyll Index

Chapter Contents (Back)
Chlorophyll.

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
BibRef

Main, R.[Russell], Cho, M.A.[Moses Azong], Mathieu, R.[Renaud], O'Kennedy, M.M.[Martha M.], Ramoelo, A.[Abel], Koch, S.[Susan],
An investigation into robust spectral indices for leaf chlorophyll estimation,
PandRS(66), No. 6, November 2011, pp. 751-761.
Elsevier DOI 1112
Leaf level reflectance; Leaf chlorophyll; Red-edge; Vegetation indices; Photosynthetic activity BibRef

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
BibRef

Fournier, A., Daumard, F., Champagne, S., Ounis, A., Goulas, Y., Moya, I.,
Effect of canopy structure on sun-induced chlorophyll fluorescence,
PandRS(68), No. 1, March 2012, pp. 112-120.
Elsevier DOI 1204
Canopy structure; Chlorophyll fluorescence measurement; Simulation; F687/F760 fluorescence ratio; Oxygen absorption band; Band infilling BibRef

Vuolo, F., Dash, J., Curran, P., Lajas, D., Kwiatkowska, E.,
Methodologies and Uncertainties in the Use of the Terrestrial Chlorophyll Index for the Sentinel-3 Mission,
RS(4), No. 5, May 2012, pp. 1112-1133.
DOI Link 1205
BibRef

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
BibRef

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

Yu, K.[Kang], Leufen, G.[Georg], Hunsche, M.[Mauricio], Noga, G.[Georg], Chen, X.P.[Xin-Ping], Bareth, G.[Georg],
Investigation of Leaf Diseases and Estimation of Chlorophyll Concentration in Seven Barley Varieties Using Fluorescence and Hyperspectral Indices,
RS(6), No. 1, 2013, pp. 64-86.
DOI Link 1402
BibRef

Yu, K., Lenz-Wiedemann, V.I.S., Leufen, G., Hunsche, M., Noga, G., Chen, X.P., Bareth, G.,
Assessing Hyperspectral Vegetation Indices for Estimating Leaf Chlorophyll Concentration of Summer Barley,
AnnalsPRS(I-7), No. 2012, pp. 89-94.
HTML Version. 1209
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
BibRef

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

Igamberdiev, R., Bill, R., Schubert, H., Lennartz, B.,
Analysis of Cross-Seasonal Spectral Response from Kettle Holes: Application of Remote Sensing Techniques for Chlorophyll Estimation,
RS(4), No. 11, November 2012, pp. 3481-3500.
DOI Link 1211
BibRef

Frampton, W.J.[William James], Dash, J.[Jadunandan], Watmough, G.[Gary], Milton, E.J.[Edward James],
Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation,
PandRS(82), No. 1, August 2013, pp. 83-92.
Elsevier DOI 1306
Vegetation; Sentinel-2; Chlorophyll; Red-Edge; LAI BibRef

Rivera, J.P.[Juan Pablo], Verrelst, J.[Jochem], Leonenko, G.[Ganna], Moreno, J.[José],
Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model,
RS(5), No. 7, 2013, pp. 3280-3304.
DOI Link 1308
BibRef

Verrelst, J.[Jochem], Rivera, J.P.[Juan Pablo], Moreno, J.[José], Camps-Valls, G.[Gustavo],
Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval,
PandRS(86), No. 1, 2013, pp. 157-167.
Elsevier DOI 1312
Uncertainty estimates 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

Sanches, I.D.[Ieda Del'Arco], de Souza Filho, C.R.[Carlos Roberto], Kokaly, R.F.[Raymond Floyd],
Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680nm absorption feature with continuum removal,
PandRS(97), No. 1, 2014, pp. 111-122.
Elsevier DOI 1410
Hyperspectral BibRef

Amaral, C.H.[Cibele H.], Roberts, D.A.[Dar A.], Almeida, T.I.R.[Teodoro I.R.], de Souza Filho, C.R.[Carlos Roberto],
Mapping invasive species and spectral mixture relationships with neotropical woody formations in southeastern Brazil,
PandRS(108), No. 1, 2015, pp. 80-93.
Elsevier DOI 1511
Invasive species BibRef

Yu, K.[Kang], Lenz-Wiedemann, V.[Victoria], Chen, X.[Xinping], Bareth, G.[Georg],
Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects,
PandRS(97), No. 1, 2014, pp. 58-77.
Elsevier DOI 1410
Leaf chlorophyll BibRef

Liu, X.J.[Xin-Jie], Liu, L.Y.[Liang-Yun],
Assessing Band Sensitivity to Atmospheric Radiation Transfer for Space-Based Retrieval of Solar-Induced Chlorophyll Fluorescence,
RS(6), No. 11, 2014, pp. 10656-10675.
DOI Link 1412
BibRef

Qi, L.[Lin], Hu, C.[Chuanmin], Duan, H.T.[Hong-Tao], Barnes, B.B.[Brian B.], Ma, R.[Ronghua],
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.[Gongliang], 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

Croft, H., Chen, J.M., Zhang, Y., Simic, A., Noland, T.L., Nesbitt, N., Arabian, J.,
Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework,
PandRS(102), No. 1, 2015, pp. 85-95.
Elsevier DOI 1503
Leaf area index BibRef

Ni, Z.Y.[Zhuo-Ya], Liu, Z.G.[Zhi-Gang], Huo, H.Y.[Hong-Yuan], Li, Z.L.[Zhao-Liang], Nerry, F.[Françoise], Wang, Q.S.[Qing-Shan], Li, X.[Xiaowen],
Early Water Stress Detection Using Leaf-Level Measurements of Chlorophyll Fluorescence and Temperature Data,
RS(7), No. 3, 2015, pp. 3232-3249.
DOI Link 1504
BibRef

Liu, X.J.[Xin-Jie], Liu, L.Y.[Liang-Yun], Zhang, S.[Su], Zhou, X.F.[Xian-Feng],
New Spectral Fitting Method for Full-Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval Based on Principal Components Analysis,
RS(7), No. 8, 2015, pp. 10626.
DOI Link 1509
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

Julitta, T.[Tommaso], Corp, L.A.[Lawrence A.], Rossini, M.[Micol], Burkart, A.[Andreas], Cogliati, S.[Sergio], Davies, N.[Neville], Hom, M.[Milton], Arthur, A.M.[Alasdair Mac], Middleton, E.M.[Elizabeth M.], Rascher, U.[Uwe], Schickling, A.[Anke], Colombo, R.[Roberto],
Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers,
RS(8), No. 2, 2016, pp. 122.
DOI Link 1603
BibRef

Sabater, N.[Neus], Vicent, J.[Jorge], Alonso, L.[Luis], Verrelst, J.[Jochem], Middleton, E.M.[Elizabeth M.], Porcar-Castell, A.[Albert], Moreno, J.[José],
Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy-Leaving Sun-Induced Chlorophyll Fluorescence,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Pacheco-Labrador, J.[Javier], Hueni, A.[Andreas], Mihai, L.[Laura], Sakowska, K.[Karolina], Julitta, T.[Tommaso], Kuusk, J.[Joel], Sporea, D.[Dan], Alonso, L.[Luis], Burkart, A.[Andreas], Cendrero-Mateo, M.P.[M. Pilar], Aasen, H.[Helge], Goulas, Y.[Yves], Arthur, A.M.[Alasdair Mac],
Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Aasen, H.[Helge], Van Wittenberghe, S.[Shari], Medina, N.S.[Neus Sabater], Damm, A.[Alexander], Goulas, Y.[Yves], Wieneke, S.[Sebastian], Hueni, A.[Andreas], Malenovský, Z.[Zbynek], Alonso, L.[Luis], Pacheco-Labrador, J.[Javier], Cendrero-Mateo, M.P.[M. Pilar], Tomelleri, E.[Enrico], Burkart, A.[Andreas], Cogliati, S.[Sergio], Rascher, U.[Uwe], Arthur, A.M.[Alasdair Mac],
Sun-Induced Chlorophyll Fluorescence II: Review of Passive Measurement Setups, Protocols, and Their Application at the Leaf to Canopy Level,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Cendrero-Mateo, M.P.[M. Pilar], Wieneke, S.[Sebastian], Damm, A.[Alexander], Alonso, L.[Luis], Pinto, F.[Francisco], Moreno, J.[Jose], Guanter, L.[Luis], Celesti, M.[Marco], Rossini, M.[Micol], Sabater, N.[Neus], Cogliati, S.[Sergio], Julitta, T.[Tommaso], Rascher, U.[Uwe], Goulas, Y.[Yves], Aasen, H.[Helge], Pacheco-Labrador, J.[Javier], Arthur, A.M.[Alasdair Mac],
Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Rossini, M.[Micol], Meroni, M.[Michele], Celesti, M.[Marco], Cogliati, S.[Sergio], Julitta, T.[Tommaso], Panigada, C.[Cinzia], Rascher, U.[Uwe], van der Tol, C.[Christiaan], Colombo, R.[Roberto],
Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled Data,
RS(8), No. 5, 2016, pp. 412.
DOI Link 1606
BibRef

Schickling, A.[Anke], Matveeva, M.[Maria], Damm, A.[Alexander], Schween, J.H.[Jan H.], Wahner, A.[Andreas], Graf, A.[Alexander], Crewell, S.[Susanne], Rascher, U.[Uwe],
Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity,
RS(8), No. 7, 2016, pp. 574.
DOI Link 1608
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

Zhang, C.[Chao], Filella, I.[Iolanda], Garbulsky, M.F.[Martín F.], Peñuelas, J.[Josep],
Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies,
RS(8), No. 9, 2016, pp. 677.
DOI Link 1610
BibRef

Davila, J.C., Zaremba, M.B.,
An Iterative Learning Framework for Multimodal Chlorophyll-a Estimation,
GeoRS(54), No. 12, December 2016, pp. 7299-7308.
IEEE DOI 1612
hydrological techniques BibRef

de Sousa, C.H.R.[Celio Helder Resende], Hilker, T.[Thomas], Waring, R.[Richard], de Moura, Y.M.[Yhasmin Mendes], Lyapustin, A.[Alexei],
Progress in Remote Sensing of Photosynthetic Activity over the Amazon Basin,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Tong, A.[Alexander], He, Y.[Yuhong],
Estimating and mapping chlorophyll content for a heterogeneous grassland: Comparing prediction power of a suite of vegetation indices across scales between years,
PandRS(126), No. 1, 2017, pp. 146-167.
Elsevier DOI 1704
Spectral indices BibRef

Sonobe, R.[Rei], Wang, Q.[Quan],
Towards a Universal Hyperspectral Index to Assess Chlorophyll Content in Deciduous Forests,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Zeng, C.[Chen], Zeng, T.[Tao], Fischer, A.M.[Andrew M.], Xu, H.[Huiping],
Fluorescence-Based Approach to Estimate the Chlorophyll-A Concentration of a Phytoplankton Bloom in Ardley Cove (Antarctica),
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Wang, Z.[Zuomin], Kawamura, K.[Kensuke], Sakuno, Y.[Yuji], Fan, X.[Xinyan], Gong, Z.[Zhe], Lim, J.[Jihyun],
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
BibRef

Li, D.[Dong], Cheng, T.[Tao], Zhou, K.[Kai], Zheng, H.[Hengbiao], Yao, X.[Xia], Tian, Y.[Yongchao], Zhu, Y.[Yan], Cao, W.[Weixing],
WREP: A wavelet-based technique for extracting the red edge position from reflectance spectra for estimating leaf and canopy chlorophyll contents of cereal crops,
PandRS(129), No. 1, 2017, pp. 103-117.
Elsevier DOI 1706
Chlorophyll content BibRef

Clevers, J.G.P.W.[Jan G.P.W.], Kooistra, L.[Lammert], van den Brande, M.M.M.[Marnix M. M.],
Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Pinto, F.[Francisco], Müller-Linow, M.[Mark], Schickling, A.[Anke], Cendrero-Mateo, M.P.[M. Pilar], Ballvora, A.[Agim], Rascher, U.[Uwe],
Multiangular Observation of Canopy Sun-Induced Chlorophyll Fluorescence by Combining Imaging Spectroscopy and Stereoscopy,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Madani, N.[Nima], Kimball, J.S.[John S.], Jones, L.A.[Lucas A.], Parazoo, N.C.[Nicholas C.], Guan, K.[Kaiyu],
Global Analysis of Bioclimatic Controls on Ecosystem Productivity Using Satellite Observations of Solar-Induced Chlorophyll Fluorescence,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

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
BibRef

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
BibRef

Rahimzadeh-Bajgiran, P.[Parinaz], Tubuxin, B.[Bayaer], Omasa, K.[Kenji],
Estimating Chlorophyll Fluorescence Parameters Using the Joint Fraunhofer Line Depth and Laser-Induced Saturation Pulse (FLD-LISP) Method in Different Plant Species,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Sabater, N.[Neus], Vicent, J.[Jorge], Alonso, L.[Luis], Cogliati, S.[Sergio], Verrelst, J.[Jochem], Moreno, J.[José],
Impact of Atmospheric Inversion Effects on Solar-Induced Chlorophyll Fluorescence: Exploitation of the Apparent Reflectance as a Quality Indicator,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Beck, R.[Richard], Xu, M.[Min], Zhan, S.A.[Sheng-An], Liu, H.X.[Hong-Xing], Johansen, R.A.[Richard A.], Tong, S.[Susanna], Yang, B.[Bo], Shu, S.[Song], Wu, Q.S.[Qiu-Sheng], Wang, S.[Shujie], Berling, K.[Kevin], Murray, A.[Andrew], Emery, E.[Erich], Reif, M.[Molly], Harwood, J.[Joseph], Young, J.[Jade], Martin, M.[Mark], Stillings, G.[Garrett], Stumpf, R.[Richard], Su, H.B.[Hai-Bin], Ye, Z.X.[Zhao-Xia], Huang, Y.[Yan],
Comparison of Satellite Reflectance Algorithms for Estimating Phycocyanin Values and Cyanobacterial Total Biovolume in a Temperate Reservoir Using Coincident Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

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

Du, S.S.[Shan-Shan], Liu, L.Y.[Liang-Yun], Liu, X.J.[Xin-Jie], Hu, J.C.[Jiao-Chan],
Response of Canopy Solar-Induced Chlorophyll Fluorescence to the Absorbed Photosynthetically Active Radiation Absorbed by Chlorophyll,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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
BibRef

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
BibRef

Verrelst, J.[Jochem], Rivera Caicedo, J.P.[Juan Pablo], Muñoz-Marí, J.[Jordi], Camps-Valls, G.[Gustau], Moreno, J.[José],
SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
chlorophyll fluorescence BibRef

Sun, J.[Jia], Shi, S.[Shuo], Yang, J.[Jian], Du, L.[Lin], Gong, W.[Wei], Chen, B.[Biwu], Song, S.[Shalei],
Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval,
PandRS(135), No. Supplement C, 2018, pp. 74-83.
Elsevier DOI 1712
Leaf optical properties, PROSPECT, Hyperspectral data, Biochemistry BibRef

Bertani, G.[Gabriel], Wagner, F.H.[Fabien H.], Anderson, L.O.[Liana O.], Aragão, L.E.O.C.[Luiz E. O. C.],
Chlorophyll Fluorescence Data Reveals Climate-Related Photosynthesis Seasonality in Amazonian Forests,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Ma, X.D.[Xiao-Dan], Feng, J.R.[Jia-Rui], Guan, H.[Haiou], Liu, G.[Gang],
Prediction of Chlorophyll Content in Different Light Areas of Apple Tree Canopies based on the Color Characteristics of 3D Reconstruction,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

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
BibRef

Hu, J.C.[Jiao-Chan], Liu, X.J.[Xin-Jie], Liu, L.Y.[Liang-Yun], Guan, L.L.[Lin-Lin],
Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Liu, X.J.[Xin-Jie], Guo, J.[Jian], Hu, J.C.[Jiao-Chan], Liu, L.Y.[Liang-Yun],
Atmospheric Correction for Tower-Based Solar-Induced Chlorophyll Fluorescence Observations at O2-A Band,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Watanabe, F.[Fernanda], Alcântara, E.[Enner], 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
BibRef

Sala, I.[Iria], Navarro, G.[Gabriel], Bolado-Penagos, M.[Marina], Echevarría, F.[Fidel], García, C.M.[Carlos M.],
High-Chlorophyll-Area Assessment Based on Remote Sensing Observations: The Case Study of Cape Trafalgar,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Blix, K.[Katalin], Eltoft, T.[Torbjørn],
Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Lu, X.L.[Xiao-Liang], Liu, Z.[Zhunqiao], Zhou, Y.[Yuyu], Liu, Y.L.[Ya-Ling], Tang, J.[Jianwu],
Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

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
BibRef

Lu, X.L.[Xiao-Liang], Liu, Z.[Zhunqiao], Zhou, Y.[Yuyu], Liu, Y.L.[Ya-Ling], An, S.[Shuqing], Tang, J.[Jianwu],
Comparison of Phenology Estimated from Reflectance-Based Indices and Solar-Induced Chlorophyll Fluorescence (SIF) Observations in a Temperate Forest Using GPP-Based Phenology as the Standard,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

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
BibRef

Pyo, J.C.[Jong Cheol], Ligaray, M.[Mayzonee], Kwon, Y.S.[Yong Sung], Ahn, M.H.[Myoung-Hwan], Kim, K.[Kyunghyun], Lee, H.[Hyuk], Kang, T.[Taegu], Cho, S.B.[Seong Been], Park, Y.[Yongeun], Cho, K.H.[Kyung Hwa],
High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Hilborn, A.[Andrea], Costa, M.[Maycira],
Applications of DINEOF to Satellite-Derived Chlorophyll-a from a Productive Coastal Region,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Kovac, Ž.[Žarko], Platt, T.[Trevor], Gladan, Ž.N.[Živana Nincevic], Morovic, M.[Mira], Sathyendranath, S.[Shubha], Raitsos, D.E.[Dionysios E.], Grbec, B.[Branka], Matic, F.[Frano], Veža, J.[Jere],
A 55-Year Time Series Station for Primary Production in the Adriatic Sea: Data Correction, Extraction of Photosynthesis Parameters and Regime Shifts,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Hu, J.C.[Jiao-Chan], Liu, L.Y.[Liang-Yun], Guo, J.[Jian], Du, S.S.[Shan-Shan], Liu, X.J.[Xin-Jie],
Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily Scale Gives an Improved Estimation of the Gross Primary Productivity,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

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
BibRef

Wei, X.X.[Xiao-Xu], Wang, X.F.[Xu-Feng], Wei, W.[Wei], Wan, W.[Wei],
Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and GOME-2 for GPP Estimates of the Heihe River Basin, China,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

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
BibRef

Nichol, C.J.[Caroline J.], Drolet, G.[Guillaume], Porcar-Castell, A.[Albert], Wade, T.[Tom], Sabater, N.[Neus], Middleton, E.M.[Elizabeth M.], MacLellan, C.[Chris], Levula, J.[Janne], Mammarella, I.[Ivan], Vesala, T.[Timo], Atherton, J.[Jon],
Diurnal and Seasonal Solar Induced Chlorophyll Fluorescence and Photosynthesis in a Boreal Scots Pine Canopy,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Campbell, P.K.E.[Petya K. E.], Huemmrich, K.F.[Karl F.], Middleton, E.M.[Elizabeth M.], Ward, L.A.[Lauren A.], Julitta, T.[Tommaso], Daughtry, C.S.T.[Craig S. T.], Burkart, A.[Andreas], Russ, A.L.[Andrew L.], Kustas, W.P.[William P.],
Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Ahlman, L.[Linnéa], Bånkestad, D.[Daniel], Wik, T.[Torsten],
Relation between Changes in Photosynthetic Rate and Changes in Canopy Level Chlorophyll Fluorescence Generated by Light Excitation of Different Led Colours in Various Background Light,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Li, X.[Xing], Xiao, J.F.[Jing-Feng],
A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Jin, J., Wang, Q.,
Selection of Informative Spectral Bands for PLS Models to Estimate Foliar Chlorophyll Content Using Hyperspectral Reflectance,
GeoRS(57), No. 5, May 2019, pp. 3064-3072.
IEEE DOI 1905
vegetation mapping, leaf chemical components, informative spectral bands, informative bands, partial least squares (PLS) BibRef

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
BibRef

Román, J.R.[José Raúl], Rodríguez-Caballero, E.[Emilio], Rodríguez-Lozano, B.[Borja], Roncero-Ramos, B.[Beatriz], Chamizo, S.[Sonia], Águila-Carricondo, P.[Pilar], Cantón, Y.[Yolanda],
Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

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

Vanbrabant, Y.[Yasmin], Tits, L.[Laurent], Delalieux, S.[Stephanie], Pauly, K.[Klaas], Verjans, W.[Wim], Somers, B.[Ben],
Multitemporal Chlorophyll Mapping in Pome Fruit Orchards from Remotely Piloted Aircraft Systems,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Qiu, F.[Feng], Chen, J.M.[Jing M.], Croft, H.[Holly], Li, J.[Jing], Zhang, Q.[Qian], Zhang, Y.Q.[Yong-Qin], Ju, W.M.[Wei-Min],
Retrieving Leaf Chlorophyll Content by Incorporating Variable Leaf Surface Reflectance in the PROSPECT Model,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Wei, J.[Jin], Tang, X.[Xuguang], Gu, Q.[Qing], Wang, M.[Min], Ma, M.[Mingguo], Han, X.[Xujun],
Using Solar-Induced Chlorophyll Fluorescence Observed by OCO-2 to Predict Autumn Crop Production in China,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Brown, L.A.[Luke A.], Ogutu, B.O.[Booker O.], Dash, J.[Jadunandan],
Estimating Forest Leaf Area Index and Canopy Chlorophyll Content with Sentinel-2: An Evaluation of Two Hybrid Retrieval Algorithms,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

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],
Evaluation of Chlorophyll-a and POC MODIS Aqua Products in the Southern Ocean,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

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.
DOI Link 1908
BibRef

Merrick, T.[Trina], Pau, S.[Stephanie], Jorge, M.L.S.P.[Maria Luisa S.P.], Silva, T.S.F.[Thiago S. F.], Bennartz, R.[Ralf],
Spatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observations,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

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,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Hosoi, F.[Fumiki], Umeyama, S.[Sho], Kuo, K.[Kuangting],
Estimating 3D Chlorophyll Content Distribution of Trees Using an Image Fusion Method Between 2D Camera and 3D Portable Scanning Lidar,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Xie, M.M.[Meng-Meng], Wang, Z.Q.[Zhong-Qiang], Huete, A.[Alfredo], Brown, L.A.[Luke A.], Wang, H.[Heyu], Xie, Q.[Qiaoyun], Xu, X.[Xinpeng], Ding, Y.L.[Yan-Ling],
Estimating Peanut Leaf Chlorophyll Content with Dorsiventral Leaf Adjusted Indices: Minimizing the Impact of Spectral Differences between Adaxial and Abaxial Leaf Surfaces,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Lu, B.[Bing], He, Y.H.[Yu-Hong],
Evaluating Empirical Regression, Machine Learning, and Radiative Transfer Modelling for Estimating Vegetation Chlorophyll Content Using Bi-Seasonal Hyperspectral Images,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Liu, L.Z.[Lei-Zhen], Zhao, W.H.[Wen-Hui], Wu, J.J.[Jian-Jun], Liu, S.[Shasha], Teng, Y.[Yanguo], Yang, J.H.[Jian-Hua], Han, X.[Xinyi],
The Impacts of Growth and Environmental Parameters on Solar-Induced Chlorophyll Fluorescence at Seasonal and Diurnal Scales,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Zeng, C.Q.[Chui-Qing], Binding, C.[Caren],
The Effect of Mineral Sediments on Satellite Chlorophyll-a Retrievals from Line-Height Algorithms Using Red and Near-Infrared Bands,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Li, X.[Xing], Xiao, J.F.[Jing-Feng],
Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

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,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Zhang, Q.[Qian], Zhang, X.K.[Xiao-Kang], Li, Z.H.[Zhao-Hui], Wu, Y.[Yunfei], Zhang, Y.[Yongguang],
Comparison of Bi-Hemispherical and Hemispherical-Conical Configurations for In Situ Measurements of Solar-Induced Chlorophyll Fluorescence,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Dong, T.[Taifeng], Shang, J.[Jiali], Chen, J.M.[Jing M.], Liu, J.[Jiangui], Qian, B.[Budong], Ma, B.[Baoluo], Morrison, M.J.[Malcolm J.], Zhang, C.[Chao], Liu, Y.[Yupeng], Shi, Y.[Yichao], Pan, H.[Hui], Zhou, G.[Guisheng],
Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef


Nguyen, M.V., Chu, H.J., Lin, C.H., Lalu, M.J.,
Feature Selection of Optical Satellite Images for Chlorophyll-a Concentration Estimation,
ISSDQ19(1249-1253).
DOI Link 1912
BibRef

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,
Environmental19(77-82).
DOI Link 1904
BibRef

Zineb, E.A., Khalid, M.,
A simple tool for automatic extraction of the Moroccan coastal upwelling from sea surface chlorophyll images,
ISCV17(1-4)
IEEE DOI 1710
Image edge detection, Image segmentation, Ocean temperature, Sea measurements, Sea surface, Surface, treatment BibRef

Lin, Y.[Yi], Ye, Z.[Zhanglin], Zhang, Y.[Yugan], Yu, J.[Jie],
Spectral Feature Analysis For Quantitative Estimation Of Cyanobacteria Chlorophyll-a,
ISPRS16(B7: 91-98).
DOI Link 1610
BibRef

Irteza, S.M., Nichol, J.E.,
Measurement Of Sun Induced Chlorophyll Fluorescence Using Hyperspectral Satellite Imagery,
ISPRS16(B8: 911-913).
DOI Link 1610
BibRef

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).
DOI Link 1209
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Greenhouse Detection, Plastic Mulch Detection and Analysis .


Last update:Dec 7, 2019 at 17:16:29