National Geophysical Data Center / Ferdinando Villa / University of Maryland Global Land Cover Facility INECOL / Oregon State University / Inverse square Nonrival Mountains / Villa et al. / University of Wisconsin / /
IndustryTerm
software platform / information carrier / web browser / ecosystem services / hydrologic networks / transportation networks / service-specific computing tools / value ecosystem services / agent-based algorithms / preventive services / energy / web interface / data processing / model server / ecosystem service carrier / /
NaturalFeature
Nonrival Mountains / /
Organization
United States Environmental Protection Agency / Washington State Department / Instituto de Ecologia / United States Census Bureau / Agriculture-Natural Resources Conservation Service / National Science Foundation / Artificial Intelligence for Ecosystem Services / Vermont Center for Geographic Information VT AOT / Oregon State University / National Oceanic and Atmospheric Administration / Food and Agriculture Organization of the United Nations FEMA / Oregon Department of Forestry ORNL / University of Wisconsin / Madison Center for Sustainability / National Mapping Agency / Federal Emergency Management Agency / United States Department / Climate Group / United Nations / Vermont Agency of Transportation / United Nations Environment Program / Interior Bureau of Land Management CDIAC / University of Maryland Global Land Cover Facility INECOL / National Aeronautics and Space Administration / National Oceanic & Atmospheric Administration / Environmental Protection Agency / Washington DOE / /
Person
Lee Gross / Jonathan Kochmer / Rose Graves / Jen Harrison-Cox / Sam Gorton / Gabriela Mendoza / Ted Auch / Nathaly Agosto Filion / Paula Swedeen / Octavio Perez-Maqueo / Soil Map / Mark Casias / Miroslav Honzák / Josh Farley / Dave Batker / Marta Ceroni / Maya Kocian / Jim Pittman / /
Version 1.0, SeptemberCitation: Bagstad, K.J., Villa, F., Johnson, G.W., and Voigt, BARIES – Artificial Intelligence for Ecosystem Services: A guide to models and data, version 1.0. ARIES report series