We present the RQMD dataset, a comprehensive collection of diverse material samples aimed at advancing computer vision and machine learning algorithms in terrain classification tasks. This dataset con
Deep learning models have demonstrated success in geospatial applications, yet quantifying the role of geolocation information in enhancing model performance and geographic generalizability remains un
Abstract This paper presents a study of the characteristics of the slopes that make up the relief in the Ibirapuitã River basin in the west of Rio Grande do Sul. The relief classification follows a ge
Data and software for reproducing workflow described in a short conference paper "Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks" submitted for AGILE 2021