Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation

Y. Inoue; M. Guérif; F. Baret; A.K. Skidmore; A.A. Gitelson; M. Schlerf; R. Darvishzadeh; A. Olioso

doi:10.1111/pce.12815

Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation

Y. Inoue, M. Guérif, F. Baret, A.K. Skidmore, A.A. Gitelson, M. Schlerf, R. Darvishzadeh, A. Olioso

Research output: Contribution to journal › Article › Academic › peer-review

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Original language	English
Pages (from-to)	2609-2623
Journal	Plant, cell and environment
Volume	39
Issue number	12
DOIs	https://doi.org/10.1111/pce.12815
Publication status	Published - 2016

Keywords

ITC-ISI-JOURNAL-ARTICLE
22/4 OA procedure

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10.1111/pce.12815

Inoue2016simpleFinal published version, 978 KBLicence: Taverne

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AU - Inoue, Y.

AU - Guérif, M.

AU - Baret, F.

AU - Skidmore, A.K.

AU - Gitelson, A.A.

AU - Schlerf, M.

AU - Darvishzadeh, R.

AU - Olioso, A.

PY - 2016

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KW - 22/4 OA procedure

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M3 - Article

VL - 39

SP - 2609

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JO - Plant, cell and environment

JF - Plant, cell and environment

SN - 0140-7791

IS - 12

ER -

Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation

Keywords

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