Coincident Data Discovery Engine: A Portal for Global-Scale Cross-Platform Satellite Data Search

Abstract

Coincident satellite data refer to remote sensing observations fromdifferent platforms that capture the same geographic location withina short temporal window. Such data enable multi-modal and multi-view analysis—particularly for dynamic systems like the Arctic,where images captured just hours apart can reflect vastly differ-ent conditions (e.g., moving sea ice), complicating data integration.However, acquiring coincident data from different satellite plat-forms remains labor-intensive and computationally demanding.Finding coincident data is challenging due to separate query sys-tems, inconsistent file formats, and the lack of built-in tools tocompute cross-platform time differences. Researchers often settlefor loosely aligned observations, compromising temporal alignmentprecision and analysis quality. To address this challenge, we intro-duce the Coincident Data Discovery Engine (CoDD), a platformdesigned to facilitate the discovery and access to spatially and tem-porally coincident remote sensing data across multiple platforms.CoDD provides data from seven widely used satellite missionsspanning optical, SAR, and LiDAR modalities, with a maximumtemporal gap of 72 hours and temporal granularity down to onesecond. The platform features an intuitive user interface that en-ables efficient querying, visualization, and download of coincidentdata. CoDD is already supporting diverse ongoing research such asArctic change monitoring, satellite product validation, and groundtruth generation for super-resolution models.