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
Miraglio, T.[Thomas],
Adeline, K.[Karine],
Huesca, M.[Margarita],
Ustin, S.[Susan],
Briottet, X.[Xavier],
Monitoring LAI, Chlorophylls, and Carotenoids Content of a Woodland
Savanna Using Hyperspectral Imagery and 3D Radiative Transfer
Modeling,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
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.
DOI Link
2001
BibRef
Annala, L.[Leevi],
Honkavaara, E.[Eija],
Tuominen, S.[Sakari],
Pölönen, I.[Ilkka],
Chlorophyll Concentration Retrieval by Training Convolutional Neural
Network for Stochastic Model of Leaf Optical Properties (SLOP)
Inversion,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
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
Kira, O.[Oz],
Sun, Y.[Ying],
Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll
fluorescence (SIF) using artificial neural network,
PandRS(161), 2020, pp. 135-146.
Elsevier DOI
2002
solar-induced chlorophyll fluorescence (SIF),
Sub-pixel SIF extraction,
Artificial neural network (ANN)
BibRef
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
BibRef
Guo, M.[Meng],
Li, J.[Jing],
Huang, S.[Shubo],
Wen, L.X.[Li-Xiang],
Feasibility of Using MODIS Products to Simulate Sun-Induced
Chlorophyll Fluorescence (SIF) in Boreal Forests,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
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,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
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 .