3.8 Proceedings Paper

TOWARDS BETTER COASTAL MAPPING USING FUSION OF HIGH TEMPORAL SENTINEL-2 AND PLANETSCOPE-2 IMAGERIES: 12 BANDS AT 3 M THROUGH NEURAL NETWORK MODELLING

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/isprs-archives-XLIII-B3-2022-479-2022

Keywords

Land Use/Land Cover; Neural Network; Regression; Classification; Downscaling; Emerald Coast

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Coastal interfaces are exposed to various risks such as waves, rainfall, sea-level rise, etc. Effective management of these areas requires high-resolution observations. While Sentinel-2 has a high temporal resolution, its spatial resolution is relatively low. In comparison, PlanetScope-2 offers higher temporal resolution.
Coastal interfaces are subject to an unprecedented rate of risks, gathering waves and rainfalls' hazards, human assets' densification, sea-level rise and precipitation intensification. Their sound management requires iterative observation at the highest possible spatial resolution. Sentinel-2 (S-2), provided with 13 spectral bands, datasets leverage high temporal resolution (one week) but spatial resolution (from 60 to 10 m) often remains too coarse to finely classify and monitor the coastal patches. PlanetScope-2 (PS-2) imagery benefits from very high temporal resolution (

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