A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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 ...

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, ...

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 ...

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 ...

China launches experimental cargo spacecraft, opaque tech demo mission and remote sensing satellite China conducted a pair of ...

Andrea Eveland, Ph.D., principal investigator and member at the Donald Danforth Plant Science Center, will lead a ...

to join the newly established Center of Excellence in Peatlands, Climate Change and Ecological Restoration (PeatResC), funded by the Research Council of Finland, for a three-year position. The ...

Remote Sensing Scientists use sensors to analyze data and solve regional, national, and global problems in areas such as natural resource management, urban planning, and climate and weather prediction ...