UNIVERSITÀ DEGLI STUDI DI TRENTO (IT)
The project aims at defining the scientific methods and the related prototype algorithms for addressing three main challenges with the multispectral and multiresolution Sentinel 2 images: 1) change detection; 2) analysis of image time series; and 3) updating of land-cover maps.
A Method for the Analysis of Small Crop Fields in Sentinel-2 Dense Time Series
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images
IEEE Transactions on Geoscience and Remote Sensing PP(99):1-19 IEEE Transactions on Geoscience and Remote Sensing (2019)