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Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and
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Diurnal and Seasonal Solar Induced Chlorophyll Fluorescence and
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1903
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1903
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1903
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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)
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Regional Models for High-Resolution Retrieval of Chlorophyll a and
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Spectral Response Analysis: An Indirect and Non-Destructive
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1906
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Beck, R.,
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Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a
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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
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Retrieving Leaf Chlorophyll Content by Incorporating Variable Leaf
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1907
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Using Solar-Induced Chlorophyll Fluorescence Observed by OCO-2 to
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1908
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Estimating Forest Leaf Area Index and Canopy Chlorophyll Content with
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1908
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Evaluation of Chlorophyll-a and POC MODIS Aqua Products in the
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Chlorophyll Concentration Response to the Typhoon Wind-Pump Induced
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1908
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Merrick, T.[Trina],
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Spatiotemporal Patterns and Phenology of Tropical Vegetation
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1908
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Matsuoka, A.[Atsushi],
Developing a New Machine-Learning Algorithm for Estimating
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1909
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Hosoi, F.[Fumiki],
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Estimating 3D Chlorophyll Content Distribution of Trees Using an
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1909
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Xie, M.M.[Meng-Meng],
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Huete, A.[Alfredo],
Brown, L.A.[Luke A.],
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Xu, X.[Xinpeng],
Ding, Y.L.[Yan-Ling],
Estimating Peanut Leaf Chlorophyll Content with Dorsiventral Leaf
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RS(11), No. 18, 2019, pp. xx-yy.
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1909
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Lu, B.[Bing],
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Evaluating Empirical Regression, Machine Learning, and Radiative
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1909
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Liu, L.Z.[Lei-Zhen],
Zhao, W.H.[Wen-Hui],
Wu, J.J.[Jian-Jun],
Liu, S.[Shasha],
Teng, Y.[Yanguo],
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The Impacts of Growth and Environmental Parameters on Solar-Induced
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1909
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The Effect of Mineral Sediments on Satellite Chlorophyll-a Retrievals
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1910
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Mapping Photosynthesis Solely from Solar-Induced Chlorophyll
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1911
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Evaluation of Red-Peak Algorithms for Chlorophyll Measurement in the
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IEEE DOI
1911
Rivers, Sea measurements, Oceans, Satellites, Image color analysis,
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Evaluation of Satellite-Based Algorithms to Retrieve Chlorophyll-a
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1911
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Comparison of Bi-Hemispherical and Hemispherical-Conical
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1911
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Shang, J.[Jiali],
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Qian, B.[Budong],
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Morrison, M.J.[Malcolm J.],
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Shi, Y.[Yichao],
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Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf
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1911
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Adeline, K.[Karine],
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Monitoring LAI, Chlorophylls, and Carotenoids Content of a Woodland
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2001
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Correction:
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Cairo, C.[Carolline],
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Novo, E.[Evlyn],
Carlos, F.[Felipe],
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Hybrid Chlorophyll-a Algorithm for Assessing Trophic States of a
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2001
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Annala, L.[Leevi],
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Chlorophyll Concentration Retrieval by Training Convolutional Neural
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Vadakke-Chanat, S.,
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A Model for the Vertical Chlorophyll-a Distribution in the Bay of
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IEEE DOI
2001
Sea measurements, Optical variables measurement, Oceans,
Optical sensors, Market research, Estimation, Biomass, Bay of Bengal,
remote sensing
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Kira, O.[Oz],
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Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll
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Elsevier DOI
2002
solar-induced chlorophyll fluorescence (SIF),
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Artificial neural network (ANN)
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Liu, G.[Guoqiang],
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Application of DINCAE to Reconstruct the Gaps in Chlorophyll-a
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2002
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Feasibility of Using MODIS Products to Simulate Sun-Induced
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2003
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Lee, D.[Dabin],
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1912
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Zineb, E.A.,
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IEEE DOI
1710
Image edge detection, Image segmentation, Ocean temperature,
Sea measurements, Sea surface, Surface, treatment
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1209
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Greenhouse Detection, Plastic Mulch Detection and Analysis .