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Hilborn, A.[Andrea],
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Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and
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Retrieval of Chlorophyll a from Sentinel-2 MSI Data for the European
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Nichol, C.J.[Caroline J.],
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Mammarella, I.[Ivan],
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Diurnal and Seasonal Solar Induced Chlorophyll Fluorescence and
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1902
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Campbell, P.K.E.[Petya K. E.],
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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
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DOI Link
1903
BibRef
Ahlman, L.[Linnéa],
Bånkestad, D.[Daniel],
Wik, T.[Torsten],
Relation between Changes in Photosynthetic Rate and Changes in Canopy
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1903
BibRef
Li, X.[Xing],
Xiao, J.F.[Jing-Feng],
A Global, 0.05-Degree Product of Solar-Induced Chlorophyll
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DOI Link
1903
BibRef
Jin, J.,
Wang, Q.,
Selection of Informative Spectral Bands for PLS Models to Estimate
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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
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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
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1906
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Xu, M.,
Liu, H.,
Beck, R.,
Lekki, J.,
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Johansen, R.,
Emery, E.,
Reif, M.,
Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a
Concentration in Inland Waters From Remotely Sensed Multispectral and
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IEEE DOI
1907
Lakes, Adaptation models, Hyperspectral imaging,
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Multitemporal Chlorophyll Mapping in Pome Fruit Orchards from
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1907
BibRef
Qiu, F.[Feng],
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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
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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
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RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
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Moutier, W.[William],
Thomalla, S.J.[Sandy J],
Bernard, S.[Stewart],
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Ryan-Keogh, T.J.[Thomas J],
Smith, M.E.[Marié E],
Evaluation of Chlorophyll-a and POC MODIS Aqua Products in the
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DOI Link
1908
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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.
DOI Link
1908
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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
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RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
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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,
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
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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,
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DOI Link
1909
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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
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Li, X.[Xing],
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Mapping Photosynthesis Solely from Solar-Induced Chlorophyll
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RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
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
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DOI Link
1610
BibRef
Irteza, S.M.,
Nichol, J.E.,
Measurement Of Sun Induced Chlorophyll Fluorescence Using Hyperspectral
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DOI Link
1610
BibRef
Bao, Y.,
Tian, Q.,
Sun, S.,
Wei, H.,
Tian, J.,
Seasonal Differences in Spatial Scales of Chlorophyll-a Concentration
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ISPRS12(XXXIX-B7:269-274).
DOI Link
1209
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Greenhouse Detection and Analysis .