A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the ...
From Chaos to Order: Designing for Multifunctional Efficiency in Intracity Bus Termini in Nairobi ()
infrastructural design and the needs of the people, and the bus termini of Nairobi can become an excellent model of smart, ...
If agreed, the funding round would mark a significant step up from World Labs’ earlier valuation of $1 billion.
A new study published in Big Earth Data evaluates ten satellite-based and reanalysis precipitation datasets available in ...
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Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep ...
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