Geospatial-AI

Green spaces are fundamental for the well-being of individuals and communities as they provide areas for recreation, which is essential for the quality of life in cities.

The accurate prediction of crop yields is a critical element in ensuring global food security, managing agricultural markets and supporting the decision-making processes of farmers and

Urban slum is often vulnerable to environmental changes such as subsidence, as it has densely populated informal settlements

In the realm of artificial intelligence (AI), the advancement of large language models (LLM) like GPT-4, the base model of ChatGPT, has revolutionized natural language processing.

Neural Radiance Field (NeRF) stands as a category of neural networks adept at represent and render realistic 3D scenes environments using a set of 2D images.

Unmanned Aerial Vehicles (UAVs) have found significant applications in road monitoring, offering a versatile and efficient solution for infrastructure assessment and

The fusion of UAV-based and satellite-based data has emerged as a powerful approach for plant health monitoring in agriculture.

Utilities form the essential infrastructure of a contemporary society, fulfilling fundamental requirements for both residents and industries.

Simultaneous Localization and Mapping (SLAM) has been foundational for autonomous systems, with GraphSLAM being a prominent variant that optimizes mapping as a graph-based optimization

Calibration of multi-sensor systems is a pivotal step in ensuring the accuracy and reliability of data derived from these sensors.