Processing chain for land cover/land use mapping exploiting multi-frequency and mul-ti-resolution remote sensing data se-quences

Position: Post-doctoral research appointment Institute: Uni. Pavia
Posted on: 26/01/2026 Deadline: 02/03/2026

Scientific-Disciplinary Group

09/IINF-03 - Telecommunications

Description

Evaluation and optimization of the machine learning and deep learning chains imple-mented in the Phase 1 of the ESA CCI Land Cover project for land cover mapping starting from SAR sequences, with particular attention to their use in areas characterized by few training points or training points with un-verifiable quality.Develooment of a methodology for mapping urban materials related to the heat island effect using PRISMA/EnMap imagery in several ur-ban areas worldwide.

Funding body

Università di Pavia