American Journal of Advanced Multidisciplinary Research and Innovation
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Volume 8 Issue 5
September-October 2026
Indexing Partners
Space-Based Data Intelligence: Integrating Satellite Observation and AI for Sustainable Earth Management
| Author(s) | Sara L. Beckman |
|---|---|
| Country | United States |
| Abstract | The rapid expansion of satellite observation technologies has created unprecedented opportunities to monitor, analyse and manage Earth's environmental and socio-economic systems. However, the growing volume, velocity and complexity of satellite-generated data increasingly exceed the capacity of conventional analytical approaches. Artificial intelligence (AI), machine learning, computer vision and geospatial analytics provide new capabilities for transforming satellite observations into actionable intelligence for sustainable Earth management. This paper examines the convergence of satellite observation and AI across environmental monitoring, climate-risk assessment, agriculture, water-resource management, biodiversity conservation, disaster resilience, urban planning and infrastructure management. It proposes an integrated space-based data intelligence framework connecting multi-sensor satellite observations, cloud and edge computing, AI-based analytics, digital twins and decision-support systems. Particular attention is given to multispectral and hyperspectral imagery, synthetic aperture radar, thermal observations, satellite-derived time-series data and multimodal Earth observation. The paper further examines AI applications including land-cover classification, change detection, crop monitoring, deforestation detection, flood mapping, drought assessment, urban expansion analysis and carbon monitoring. Challenges related to data quality, cloud cover, spatial and temporal resolution, model generalisation, explainability, computational requirements, data interoperability and unequal access to space-based technologies are also discussed. The paper argues that the future of sustainable Earth management will increasingly depend on converting satellite observations from passive datasets into continuously updated environmental intelligence. The integration of AI with space-based observation can therefore establish a scalable foundation for evidence-based management of Earth's natural resources and climate-related risks. |
| Keywords | Satellite Observation, Artificial Intelligence, Earth Observation, Space-Based Data, Geospatial AI, Sustainable Earth Management, Remote Sensing, Climate Monitoring, Environmental Intelligence, Digital Earth. |
| Field | Engineering |
| Published In | Volume 7, Issue 2, March-April 2025 |
| Published On | 2025-03-19 |
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E-ISSN XXXX-XXXXCrossRef DOI prefix of AJAMRI is 10.00000/AJAMRI
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