Research framework of remote sensing monitoring and real-time diagnosis of earth surface anomalies

doi:10.11947/j.AGCS.2022.20220124

Abstract

Abstract: Due to the abruptness, diversity, randomness and complexity of all kinds of earth surface anomalies caused by natural and human factors, the time-effectiveness of traditional satellite remote sensing is seriously lagging behind the actual needs of earth surface anomaly warning and emergency treatment. Real-time and intelligent remote sensing monitoring of earth surface anomalies has become an important strategic demand for high-quality social and economic development in China in the new era, and also a major technical challenge for the development of remote sensing science. Based on the analysis of the technical challenges and the necessity of research on the real-time remote sensing monitoring of earth surface anomalies, this paper focuses on solving the scientific problems behind the technical bottleneck of "not being able to see, not being able to see clearly and not being able to see quickly" in remote sensing monitoring of earth surface anomalies. From a new perspective of the trinity of satellite, payload and application, a series of new ideas on real-time monitoring of surface anomalies by the integration of "communication-navigation-remote sensing", on-orbit processing and satellite-earth reciprocal feeding machine learning have been put forward. A research framework for real-time remote sensing monitoring of earth surface anomalies is proposed, which consists of remote sensing response characteristics and semantic characterization of earth surface anomalies, adaptive real-time remote sensing monitoring of large dynamic range, real-time remote sensing detection in orbit, and real-time generation and expression of remote sensing early warning knowledge, these studies provide a scientific scheme for in-depth research on the mechanism and method of real-time monitoring of earth surface anomalies by remote sensing, and provide a the technical system framework for realizing real-time service of remote sensing monitoring and early warning products for earth surface anomalies up to the user's mobile terminal.

Key words: earth's surface anomalies, remote sensing mechanism, remote sensing real-time monitoring

CLC Number:

P237

WANG Qiao. Research framework of remote sensing monitoring and real-time diagnosis of earth surface anomalies[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1141-1152.

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