Supplementary Data for "A decade of deep learning in remote sensing: A systematic review of reviews"

This repository contains the supplementary data accompanying the manuscript “A decade of deep learning in remote sensing: A systematic review of reviews”. It includes two curated datasets: 1. Table_RoR.xlsx A structured database of 448 review and survey articles published between 2016–2026, covering deep learning applications in remote sensing. The table includes metadata such as authors, year, title, keywords, research area, publisher, database source, and access links. 2. Table_Datasets.xlsx A comprehensive catalog of remote sensing datasets used in the reviewed literature. The table provides dataset names, publication years, data sources, number of samples, spatial resolution, and number of classes. Both tables were manually validated and harmonized to support reproducibility, meta‑analysis, and future benchmarking efforts in the remote sensing and machine learning communities. Authors: Anastasiia Safonova, Ronny Hänsch, Ribana Roscher, Gilberto Camara, Begüm Demir, Joan Serra-Sagristà, and Masahiro Ryo. This work was supported by the Federal Ministry for Research, Technology and Space (BMFTR, Bundesministerium für Forschung, Technologie und Raumfahrt) under Project 16DKWN089; and in part by the Marie Sklodowska-Curie fellowship under the Horizon Europe programme, RAMON LLULL under Grant 101126667.