Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
HydroFlame combines hydrologic modeling and satellite data to anticipate wildfire impacts on water resources, supporting smarter community planning.
Abstract: High-resolution, all-weather land surface temperature (LST) data on a global scale are pivotal for accurately reflecting the thermal feedback from the underlying surface. We developed a ...
Checkout the demos at [https://github.com/microsoft/data-formulator/releases/tag/0.2] Improved overall system performance, and enjoy the updated derive concept ...
Australia’s biggest resources businesses paid $48 billion of company tax in 2024, the third year in a row the industry chipped in more to the national budget than all others combined. Data released by ...
Abstract: High spatial and temporal resolution Earth Observation (EO) data are essential for global environmental monitoring. A cost-effective and feasible approach to obtain such data involves ...
UK retail giant Harrods has disclosed a new cybersecurity incident after hackers compromised a third-party supplier and stole 430,000 records with sensitive e-commerce customer information. In a ...
In a world covered with sensors and satellites, access to high-quality data that can help solve problems and improve systems is more widespread than ever. But with such a wealth of information at our ...
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