Few things generate as much data as simply observing Earth from above. But Ryan Abernathey and Joe Hamman very quickly realized that all that data still wasn’t enough for their startup to thrive.

One important aspect of behavioural studies is quantifying how animals move. Recently developed tools such as DeepLabCut and SLEAP, have made it easier for researchers to track how animals move. These ...

The National Snow and Ice Data Center (NSIDC) has released Version 6 of the NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration data set and Version 4 of the Near-Real-Time ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...

I'm an ecologist and geospatial professional currently working at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC); part of NASA's Earth Observing System Data and ...

xarray (pronounced "ex-array", formerly known as xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray ...

Climate forecasts, both experimental and operational, are often made by calibrating Global Climate Model (GCM) outputs with observed climate variables using statistical and machine learning models.