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.

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

Add Python to Your Modern GIS Toolkit. Python, that high-level, interpreted programming language known for its simplicity, readability, versatility, and library support, is changing the face of ...

The President signed Federal Law On Amendments to the Law On Space Activities and Federal Law On State Corporation for Space Activities Roscosmos.

WASHINGTON — The National Reconnaissance Office awarded study contracts to six commercial providers of space-based radio frequency (RF) data, the agency announced Sept. 28. Aurora Insight, HawkEye 360 ...

Themed ‘Harnessing GIS and remote sensing for sustainable development: A practical application in geographical research’, the workshop was aimed at strengthening both conceptual understanding and ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent challenges. Agricultural data are often siloed across platforms, collected under ...