Deep learning models for classifying historical and contemporary aerial imagery from the Spanish National Aerial Orthophoto Program (1945–present)
Abstract
We present three models designed for integration in ArcGIS Pro (v. 3.0.3 or later) using the integrated Deep Learning library, they identify agricultural, forested and urban areas based on aerial images from the Spanish National Aerial Orthophoto Program (1945–present) at 1 m of spatial resolution.
Fields of Study & Subjects
Remote-Sensing Image Classification
Remote Sensing and Land Use
Advanced Neural Network Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 January 2026
- Document type
- Dataset