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Satellite Financial Big Data Analysis and Decision-Making System

The financial industry faces issues such as data fragmentation, high verification costs, and poor timeliness in asset valuation, risk management and control, and investment decision-making. We provide one-stop services for data collection, analysis, and application through integrated communication-navigation-remote sensing-computing satellite technology, reducing the marginal cost and risk exposure of financial businesses. It supports asset evaluation and risk early warning in fields like agriculture, energy, and minerals, as well as dynamic monitoring in industries such as real estate infrastructure, green energy projects, and financial leasing. It improves data processing efficiency and accuracy, and provides customized orbital and priority imaging services to meet the personalized needs of financial clients.

Strength
  • End-to-End Proactive Customized Services

    Responsive remote sensing can proactively and accurately respond to the sudden, personalized needs of financial clients. It also has a complete closed loop covering data collection, intelligent analysis, and industry application, providing unparalleled timeliness and flexibility for various financial needs.

  • AI-Driven Deep Insight and "Translation" Capability

    Through self-developed AI algorithms such as target detection, change detection, and spectral analysis, the physical signals captured by satellites can be converted into quantitative indicators directly applicable to financial models. This greatly reduces the usage threshold and improves decision-making efficiency and accuracy.

  • Reliability of "Space-Air-Ground" Integrated Sensing

    When remote sensing indicators detect anomalies, cross-validation will be conducted with ground sensor data and business data. This greatly improves the accuracy and reliability of risk identification, effectively reduces the false alarm rate, and avoids wrong decisions caused by deviations from a single data source.

Services

The essence of satellite remote sensing application services in the financial field is to conduct data acquisition, feature conversion and decision making based on the "space-air-ground integrated comprehensive sensing network". Various image data are obtained through multi-type satellite sensors to clearly identify the monitored objects; based on the monitored objects, algorithms such as target detection, land cover classification, change detection and spectral analysis are used to extract image feature information, converting "physical signals into financial indicators" to turn "seeing clearly" into "understanding clearly"; when remote sensing indicators exceed the threshold, cross-validation is carried out with ground sensor data and business data, triggering the risk alarm mechanism to evaluate credit risks or conduct on-site reviews.

  • Green Energy Power Generation Forecasting(a)

    Green Energy Power Generation Forecasting(a)

  • Green Energy Power Generation Forecasting(b)

    Green Energy Power Generation Forecasting(b)

  • Bulk Trading Logistics Monitoring(a)

    Bulk Trading Logistics Monitoring(a)

  • Bulk Trading Logistics Monitoring(b)

    Bulk Trading Logistics Monitoring(b)

  • Agricultural Credit Insurance Monitoring

    Agricultural Credit Insurance Monitoring