Semantic pre-classification of vegetation gradient based on linearly unmixed Landsat time series

Damien Arvor; Bill Loubelo Madiela; Thomas Corpetti

doi:10.1109/IGARSS.2016.7730152

Conference Papers Year : 2016

Semantic pre-classification of vegetation gradient based on linearly unmixed Landsat time series

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Damien Arvor

Function : Author
PersonId : 8937
IdHAL : damien-arvor
ORCID : 0000-0002-3017-9625
IdRef : 136950191

Littoral, Environnement, Télédétection, Géomatique UMR 6554

Bill Loubelo Madiela

Function : Author

Thomas Corpetti

Function : Author
PersonId : 2112
IdHAL : thomas-corpetti
ORCID : 0000-0002-0257-138X
IdRef : 067284396

Littoral, Environnement, Télédétection, Géomatique

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Geography Environment and Society

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https://shs.hal.science/halshs-02439087

Submitted on : Tuesday, January 14, 2020-2:36:46 PM

Last modification on : Friday, April 19, 2024-4:18:56 PM

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halshs-02439087 , version 1 (14-01-2020)

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HAL Id : halshs-02439087 , version 1
DOI : 10.1109/IGARSS.2016.7730152

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Damien Arvor, Bill Loubelo Madiela, Thomas Corpetti. Semantic pre-classification of vegetation gradient based on linearly unmixed Landsat time series. IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, China. pp.4422-4425, ⟨10.1109/IGARSS.2016.7730152⟩. ⟨halshs-02439087⟩

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Semantic pre-classification of vegetation gradient based on linearly unmixed Landsat time series

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