Thickness of ice is one of the key indicators of global warming, but it is difficult to take these measurements accurately as direct methods can not be used on a large scale. An international team of scientists make an effort to standardise these measurements and evaluate the various current models.
IIT Bombay’s new deep learning framework, named SpADANet, enhances damage classification accuracy using limited labels across multiple hurricanes.