Data and Code Availability Dataset for AI-Based Remote Sensing Research across Four Core Journals

All articles from three leading remote sensing journals (Remote Sensing, IEEE JSTARS and IEEE TGARS) with more than 50 relevant outputs were incorporated into the sample set. For comparative analysis, 181 papers sourced from even-numbered volumes (300–315, 2024) of Remote Sensing of Environment were further chosen as the control group, forming a final sample spanning four core journals in the discipline.

Each article was manually annotated across dimensions including data and code availability statements (ASDC), open-access status and hyperlink availability. Data availability was graded on a six-tier scale and code availability on a five-tier scale, with respective rankings stretching from fully accessible to no ASDC disclosure. Geographically, the dataset is unrestricted by specific territorial boundaries and encompasses research outputs published over the latest decade.