Traditional remote sensing satellite systems have long been plagued by bottlenecks such as sluggish system response and delays in data processing and services, severely limiting their application in emergency monitoring and real-time decision-making. To overcome these limitations, the Orient Smart Eye-GF01 (OSE-GF01) satellite is equipped with a high-performance on-board processing unit, promoting a shift in remote sensing data service models from traditional ground-based post-processing to intelligent real-time on-board processing. However, the conflict between limited on-board computational resources and the massive volume of remote sensing data poses a significant challenge to achieving high-precision, low-latency on-board processing. To address this issue, this paper proposes a position-driven on-board processing method with satellite-ground collaboration. By integrating a ground-based high-precision geometric and radiometric parameter calibration system with a lightweight, rapid on-board processing approach, the method achieves real-time region of interest (ROI) positioning, ROI sensing correction, and panchromatic-multispectral fusion. Experimental results demonstrate that the proposed method maintains superior geometric performance across different terrain scenarios, with a positioning accuracy better than 10 meters, multispectral band-to-band registration accuracy better than 0.3 pixels, and relative registration accuracy between panchromatic and multispectral images better than 0.5 pixels. Additionally, it enables rapid generation of ROI fusion products within 2.4 seconds, verifying the feasibility of high-precision real-time processing technology for high-resolution remote sensing images under on-board resource constraints.

Forest fires constitute a constant hazard for natural protected areas in Mexico, especially during dry seasons and near urban areas. Unplanned fires can escalate quickly, necessitating prompt human intervention through the dispatch of highly trained fire brigades, the allocation of available transportation resources, and seamless coordination, communication, and asset tracking. Given that forests span extensive areas with complex topography, human resources become a high-value asset for fire management. Ensuring precise control and safety is paramount during emergency responses, where location and communication are critical for effective coordination and management of the limited resources. This paper presents a tracking and monitoring system designed with off-the-shelf technologies, focusing on personnel and based on the Message Queue Telemetry Transport (MQTT) protocol for efficient message exchange. The system leverages existing mobile technologies with cellular connectivity, with a custom platform providing location information about fire brigades, individuals, and their current status to fire managers. Gathered data is integrated cartographically through a WEB mapping platform with content suited for fire management, bringing up-to-date fire brigade movements, providing per-unit status, and enhancing situational awareness. The results are compared with traditional two-way radio methodologies.