YGORRA, B.; FRAPPART, Frédéric; J.-P., Wigneron; MOISY, Christophe; PILLOT, B; PUISEUX, J.; RIAZANOFF, S.

doi:10.1109/IGARSS46834.2022.9884389

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YGORRA, B.
Interactions Sol Plante Atmosphère [UMR ISPA]
VisioTerra

FRAPPART, Frédéric
Interactions Sol Plante Atmosphère [UMR ISPA]

J.-P., Wigneron
Interactions Sol Plante Atmosphère [UMR ISPA]

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IEEE International Symposium on Geoscience and Remote Sensing IGARSS, IEEE International Symposium on Geoscience and Remote Sensing IGARSS, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022-07-17, Kuala Lumpur. 2023p. 691-694

IEEE

Résumé en anglais

Earth Observation data is often used for land cover classification or change monitoring. It is rarely used for both goals in a single algorithm. The multi-change Cumulative Sum (CuSum) algorithm proposed in this study allows both classification and change monitoring in a single algorithm using Sentinel-1 C-SAR time series. The multi-change CuSum approach allowed to classify pixels belonging to the fused non-forest vegetation and bare soil classes apart from the pixels belonging to new cuts. The distinction of each class is better made using the two polarizations: VV is more accurate for detecting non-forest vegetation (Kappa coefficient of 0.62) and VH for detecting new cuts (Kappa coefficient of 0.65). The algorithm showed an accuracy up to 0.82.< Réduire

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CuSum

Sentinel-1

C-SAR

vegetation cover change

temperate forest

deforestation

classification

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Classification and Deforestation Monitoring Using Sentinel-1 C-SAR Images in a Temperate Exploited Pine Forest

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