RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecasting

ArXi:2603.14941v1 Announce Type: new Remote sensing world models aim to both explain observed changes and forecast plausible futures, two tasks that share spatiotemporal priors. Existing methods, however, typically address them separately, limiting cross-task transfer. We present RS-WorldModel, a unified world model for remote sensing that jointly handles spatiotemporal change understanding and text-guided future scene forecasting, and we build RSWBench-1.1M, a 1.1M sample dataset with rich language annotations covering both tasks.