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forest mapping toward temporally resolved reconstruction and prediction of forest-state transitions. The project will leverage Prithvi-EO to extract spectral, spatial, and temporal information from Landsat
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of Earth and Environmental Sciences announces a postdoctoral position within a project that addresses this gap. The project aims to develop an operational, web-based service that uses Landsat and Sentinel
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Dynamics Investigation (GEDI) and ECOSTRESS instruments with Sentinel and Landsat time series to characterize vegetation structure, ecosystem water stress, wildfire severity, and post-fire recovery. Research
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for creating and curating a multi-sensor satellite image database, primarily based on data from Landsat-8 and Sentinel-2, but potentially incorporating images from additional relevant satellite platforms
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The postdoctoral researcher will contribute to: (i) selecting and preprocessing DEM and satellite datasets (ArcticDEM, Sentinel/Landsat or equivalents); (ii) building and documenting a training/validation dataset
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), satellite platforms (Sentinel/Landsat/GEE), and building reproducible pipelines. Field/ground-truth experience, agronomic knowledge, or fertilizer-recommendation systems. French/Arabic useful for local