The burgeoning field of data science has provided a wealth of techniques for analyzing large and complex datasets, including methods for descriptive, explanatory, and predictive analysis. Using them effectively requires tools for appropriate manipulation and analysis. Large volumes of these data are collected by Earth-observing satellite and ground-based sensors. Achieving this goal requires geospatial data on a wide variety of environmental factors, including climate, vegetation, biodiversity, soils, terrain, water, and human populations. To mitigate and adapt to these changes, there is a need to understand their myriad impacts on human and natural systems. We are living in a time of unprecedented environmental change, driven by the effects of fossil fuels on the Earth’s climate and the expanding footprint of human land use.
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