| الوصف: |
Integrating geospatial technologies with big data analytics has emerged as a transformative approach to addressing environmental challenges. Geospatial Big Data (GBD) refers to large, complex datasets linked to geographic locations, collected from diverse sources such as satellite imagery, remote sensing, social media, sensors, and mobile devices. Advances in data collection, storage, and processing technologies have enabled a deeper understanding of spatial patterns and environmental trends. As a result, GBD has become an essential tool for advancing environmental sustainability by providing precise, real-time data that informs decision-making, policy formulation, and environmental management. With its capacity to analyze vast amounts of location-based data, GBD is critical in tackling challenges like climate change, deforestation, biodiversity loss, and resource management. This paper explores the intersection of geospatial technologies and big data analytics in the context of environmental sustainability. It examines key methodologies, practical applications, benefits, and challenges, providing a roadmap for future research and policy integration to further leverage GBD for sustainable development. |