Estimating grassland chlorophyll content using remote sensing data at leaf, canopy, and landscape scales

Kelly Kalei Wong; Yuhong He

doi:10.5589/m13-021

Estimating grassland chlorophyll content using remote sensing data at leaf, canopy, and landscape scales

Canadian Journal of Remote Sensing ◽

10.5589/m13-021 ◽

2013 ◽

Vol 39 (2) ◽

pp. 155-166 ◽

Cited By ~ 14

Author(s):

Kelly Kalei Wong ◽

Yuhong He

Keyword(s):

Remote Sensing ◽

Chlorophyll Content ◽

Remote Sensing Data ◽

Sensing Data ◽

Landscape Scales ◽

Leaf Canopy

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Estimation of chlorophyll content in radish leaves using hyperspectral remote sensing data and machine learning algorithms

10.1117/12.2600072 ◽

2021 ◽

Author(s):

Adenan Yandra Nofrizal ◽

Rei Sonobe ◽

Hiroto Yamashita ◽

Takashi Ikka ◽

Akio Morita

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Chlorophyll Content ◽

Learning Algorithms ◽

Remote Sensing Data ◽

Hyperspectral Remote Sensing ◽

Machine Learning Algorithms ◽

Sensing Data

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Retrieval of LAI and leaf chlorophyll content from remote sensing data by agronomy mechanism knowledge to solve the ill-posed inverse problem

10.1117/12.2058422 ◽

2014 ◽

Cited By ~ 1

Author(s):

Zhenhai Li ◽

Chenwei Nie ◽

Guijun Yang ◽

Xingang Xu ◽

Xiuliang Jin ◽

...

Keyword(s):

Remote Sensing ◽

Inverse Problem ◽

Chlorophyll Content ◽

Remote Sensing Data ◽

Leaf Chlorophyll Content ◽

Sensing Data ◽

Leaf Chlorophyll ◽

Ill Posed

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Vegetation Index to estimate chlorophyll content from multispectral remote sensing data

European Journal of Remote Sensing ◽

10.5721/eujrs20154818 ◽

2015 ◽

Vol 48 (1) ◽

pp. 319-326 ◽

Cited By ~ 10

Author(s):

Facundo Carmona ◽

Raúl Rivas ◽

Diana C. Fonnegra

Keyword(s):

Remote Sensing ◽

Chlorophyll Content ◽

Vegetation Index ◽

Remote Sensing Data ◽

Sensing Data ◽

Multispectral Remote Sensing

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Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2015.01.008 ◽

2015 ◽

Vol 102 ◽

pp. 85-95 ◽

Cited By ~ 33

Author(s):

H. Croft ◽

J.M. Chen ◽

Y. Zhang ◽

A. Simic ◽

T.L. Noland ◽

...

Keyword(s):

Remote Sensing ◽

Chlorophyll Content ◽

Remote Sensing Data ◽

Leaf Chlorophyll Content ◽

Sensing Data ◽

Modelling Framework ◽

Leaf Chlorophyll ◽

Physically Based ◽

Physically Based Modelling ◽

Multispectral Remote Sensing

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Retrieval Of canopy chlorophyll content for spring corn using multispectral remote sensing data

2014 The Third International Conference on Agro-Geoinformatics ◽

10.1109/agro-geoinformatics.2014.6910668 ◽

2014 ◽

Author(s):

Xu Jin ◽

Meng Jihua

Keyword(s):

Remote Sensing ◽

Chlorophyll Content ◽

Remote Sensing Data ◽

Sensing Data ◽

Multispectral Remote Sensing

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An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multi-scale Remote Sensing Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2021.3081565 ◽

2021 ◽

pp. 1-1

Author(s):

Peiqing Lou ◽

Bolin Fu ◽

Hongchang He ◽

Jianjun Chen ◽

Tonghua Wu ◽

...

Keyword(s):

Remote Sensing ◽

Chlorophyll Content ◽

Remote Sensing Data ◽

Marsh Vegetation ◽

Sensing Data ◽

Multi Scale

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New mathematical models to estimate wheat Leaf Chlorophyll Content based on Artificial Neural Network and remote sensing data

2016 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET) ◽

10.1109/imcet.2016.7777432 ◽

2016 ◽

Cited By ~ 2

Author(s):

Mohamad Awad

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Mathematical Models ◽

Chlorophyll Content ◽

Remote Sensing Data ◽

Leaf Chlorophyll Content ◽

Sensing Data ◽

Leaf Chlorophyll ◽

Wheat Leaf

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Using wavelet analysis of hyperspectral remote-sensing data to estimate canopy chlorophyll content of winter wheat under stripe rust stress

International Journal of Remote Sensing ◽

10.1080/01431161.2018.1454620 ◽

2018 ◽

Vol 39 (12) ◽

pp. 4059-4076 ◽

Cited By ~ 9

Author(s):

Ruyan He ◽

Hui Li ◽

Xiaojun Qiao ◽

Jinbao Jiang

Keyword(s):

Remote Sensing ◽

Wavelet Analysis ◽

Winter Wheat ◽

Chlorophyll Content ◽

Stripe Rust ◽

Remote Sensing Data ◽

Hyperspectral Remote Sensing ◽

Sensing Data

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Canopy Chlorophyll Content Retrieved from Time Series Remote Sensing Data as a Proxy for Detecting Bark Beetle Infestation

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2021.100524 ◽

2021 ◽

pp. 100524

Author(s):

Abebe Mohammed Ali ◽

Haid Abdullah ◽

Roshanak Darvishzadeh ◽

Andrew K. Skidmore ◽

Marco Heurich ◽

...

Keyword(s):

Remote Sensing ◽

Time Series ◽

Chlorophyll Content ◽

Bark Beetle ◽

Remote Sensing Data ◽

Sensing Data

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Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies

Agronomie ◽

10.1051/agro:2002008 ◽

2002 ◽

Vol 22 (2) ◽

pp. 205-215 ◽

Cited By ~ 62

Author(s):

Bruno Combal ◽

Fr�d�ric Baret ◽

Marie Weiss

Keyword(s):

Remote Sensing ◽

Sugar Beet ◽

Remote Sensing Data ◽

Sensing Data ◽

Ancillary Information

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