Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

A research team led by Prof. Liu Liangyun from the Aerospace Information Research Institute of the Chinese Academy of ...

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

President Donald Trump said on Saturday that the US had captured Venezuelan President Nicolás Maduro following a "large-scale ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

The Centre introduces the PRAGATI platform to States for improved project execution and citizen grievance resolution.

Accurate estimation of the ionosphere is essential for reliable Global Navigation Satellite System (GNSS) positioning, timing, and space weather applications. A key challenge lies in converting slant ...

The General Authority for Statistics (GASTAT) announced the start of its statistical operations and field, telephone, and self-administered surveys in the economic, social, environmental, and spatial ...

A prediction that looks plausible but diverges from reality can create high-risk, even catastrophic situations in driving ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

China has launched a next-generation Fengyun-4C meteorological satellite to enhance its ability to monitor extreme weather ...