Open AccessUsing machine learning to improve land use/cover characterization and projection for scenario-based global modeling
Author(s) -
Alan Di Vittorio,
Katherine Calvin
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1769796
Subject(s) - land cover , water cycle , deforestation (computer science) , environmental science , afforestation , land use , precipitation , resilience (materials science) , projection (relational algebra) , cover (algebra) , environmental resource management , computer science , agroforestry , geography , meteorology , ecology , engineering , civil engineering , mechanical engineering , physics , algorithm , biology , programming language , thermodynamics
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