Remote sensing and climate modeling have revolutionized our global understanding of changes in climate and land cover. Yet the coupled human and environmental systems that cause these changes are not observable from space, nor can they be understood globally without local knowledge of how these systems interact and cause change. GLOBE links local knowledge with global data to accelerate global understanding of land change processes.
What are the benefits?
GLOBE allows researchers and institutions to rapidly share, compare and synthesizelocal and regional studies using global datasets of human and environmental variables through two types of analysis: Similarity and Representativeness.
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GLOBE uses paradigms from collaborative social computing and advanced statistical models to aggregate and analyze local and regional CHANS case studies to enable the synthesis and integration of globally-relevant information for land change scientists.