AIRSAT1.0: Space-Air Collaborative Multimodal Remote Sensing Interpretation Dataset

To meet the requirements of complex multi-object and multi-source collaborative interpretation in high-standard agricultural demonstration areas, this study constructs the Aerospace-Airborne Collaborative Multimodal Remote Sensing Interpretation Benchmark Dataset for Complex Objects in High-Standard Agricultural Demonstration Areas (AIRSAT1.0). The dataset is built upon observation data acquired by the AIRSAT satellite constellation independently developed by China Satellite, which consists of four satellites currently in orbit (three SAR satellites and one optical satellite).

It integrates three data modalities: high-resolution SAR satellite imagery, optical satellite imagery, and unmanned aerial vehicle (UAV) remote sensing imagery. The data were collected from the High-Standard Agricultural Demonstration Area in Laiwu District, Jinan City, Shandong Province, China.The dataset contains eight typical land-cover categories, including wheat, corn, greenhouses, roads, power transmission facilities, water conservancy facilities, water bodies, and buildings, with a total of 170,610 image samples.