Big Data in Climate: Opportunities and Challenges for Machine Learning

  • Climate and Water

This presentation outlines research conducted as part of a major interdisciplinary project to develop novel data mining and machine learning approaches for analysing the vast amounts of climate and ecosystem data now available from satellite and ground-based sensors, as well as physics-based climate model simulations. This session highlights the challenges of interpreting these data sets and selected findings when mapping global surface water dynamics. It also explores the utilisation of Earth observation satellite data to detect fires and deforestation occurring in tropical forests.

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Author: Vipin Kumar, University of Minnesota