Optical Synergy (Sentinel-2 / Spot6-7) for Annual Detection and Mapping of Coastal Wetlands in the Crozon Peninsula Using Machine and Deep Learning Methods - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Optical Synergy (Sentinel-2 / Spot6-7) for Annual Detection and Mapping of Coastal Wetlands in the Crozon Peninsula Using Machine and Deep Learning Methods

Résumé

Coastal wetlands are critical from an ecological, hydrological, and biodiversity point of view [1]. Today, these areas are under threat and have been declining every year since they were first studied [2]. Satellite images are an invaluable tool for understanding wetlands. Thanks to the revisit capability of satellites, coastal wetlands can be mapped in real time, allowing us to understand how they are changing. This work aims to map these ecosystems as accurately as possible. In order to achieve this, two types of sensors were used: a Sentinel-2 time series, a SPOT6/7 image, and altimetric data (RGE Alti©). Two automated learning algorithms were used: random forest (RF) and convolutional neural networks (CNN). Two methods were also used: a pixel approach and an object approach. The results show that the synergy of Sentinel-2 and SPOT with the contribution of indices and an object method works best, with an overall accuracy of 0.90 compared to 0.78 for a SPOT-6 pixel-by-pixel approach
Fichier principal
Vignette du fichier
IGARSS_Paper_Review_removed.pdf (923.91 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04696455 , version 1 (13-09-2024)

Identifiants

Citer

Adrien Le Guillou, Simona Niculescu, Christiane Schmullius. Optical Synergy (Sentinel-2 / Spot6-7) for Annual Detection and Mapping of Coastal Wetlands in the Crozon Peninsula Using Machine and Deep Learning Methods. 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024 - ), Jul 2024, Athènes, Greece. pp.4788-4792, ⟨10.1109/IGARSS53475.2024.10642584⟩. ⟨hal-04696455⟩
17 Consultations
6 Téléchargements

Altmetric

Partager

More