Google Earth Engine Research Award Recipients 2015 Assessing impact and recovery of North American oil and gas development Brady Allred, University of Montana Urban air quality mapping: highresolution spatiotemporal modeling based on a ubiquitous mobile sensor system Joshua Apte, University of Texas at Austin Mapping High Carbon Stock (HCS) forests in Sumatra and Borneo to evaluate and support zerodeforestation supply chain commitments Kim Carlson, University of Hawaii at Manoa Cloud Detection in the Cloud Luis GomezChova, University of Valencia Interactive forest monitoring using satellite data and communityobservations in the Google platform Martin Herold, Wageningen University Finding the most stable places on the Earth for absolute calibration of onorbit sensor Larry Leigh, South Dakota State University Developing global maps of algal blooms in large freshwater lakes since 1985 Anna Michalak, Stanford University Assessing historical rangeland management strategies using change vector analysis Chadwick Oliver, Yale University Mapping area and spatial distribution of paddy rice croplands during 19862015 Xiangming Xiao, University of Oklahoma
2014 Assessing the earthquake risk for cities and regions Jack Baker, Stanford University
A speedefficient downscaling method for global flood hazard layers Paul Bates , University of Bristol Bayesian updating of land cover In Google Earth Engine: A general tool for blending multiple imagery sources Jeffrey Cardille, McGill University Pan-Arctic net ecosystem exchange Torben Christensen, Lund University The sensitivity of agricultural output to climate variability across smallholder farms in south asia Gillian Galford, University of Vermont Advanced population modeling across Africa, Asia and Latin America to incorporate urban spatial dynamics Andrea Gaughan, University of Louisville Porting global mapping to the Google Earth Engine Matt Hansen, University of Maryland A Google Earth Engine application for computing and visualizing drought indices at different timescales in near real time Justin Huntington, Desert Research Institute Trend of snow and ice cover in mountainous areas Xingong Li, University of Kansas Surveillance Engine: a Google Earth Engine infectious disease risk mapping platform Hugh Sturrock, University of California, San Francisco Dynamic flood vulnerability mapping for climate affected areas in the US Patrick Vinck, Harvard University Modeling animal movements using Google Earth Engine George Whittemeyr, Colorado State University
2013 Advancing urban infrastructure growth geospatial sustainability assessment with the Earth Engine Mikhail Chester, Arizona State University Automatic multitemporal mapping of urban areas for riskrelated exposure analysis Paolo Gamba, University of Pavia
A remote sensing approach to mapping changes in Earth’s surface water Hilairy Hartnett, Arizona State University Multitemporal procedure for changepreserving imputation of missing values in Landsat7 scenes Conrad Heatwole, Virginia Tech Google Earth Engine driven biodiversity change and conservation analysis in Map of Life Walter Jetz, Yale University Earth Engine app to conserve urban water use Ayse Kilic, University of NebraskaLincoln Subfield scale crop yield modeling at the national level using Google Earth Engine David Lobell, Stanford University Community based land cover and land use classification for forest conservation Udaysankar Nair, University of Alabama in Huntsville Mapping invasive vegetation using hyperspectral data, spectral angle mapping, and mixture tuned matched filtering Chadwick Oliver, Yale University Understanding Australia's changing ecosystems Linking long term satellite image and field survey archives Stuart Phinn, University of Queensland Mapping spring arrival patterns: towards a Google greenwave product Raul ZuritaMilla, University of Twente
2012 Implementation of the EEFlux/METRIC Algorithms into the Google Earth Engine for Computation of Water Consumption Rick Allen, Ayse Kilic, Justin Huntington University of Idaho, University of NebraskaLincoln, University of NevadaReno Image Segmentation for Google Earth Engine Nicholas Clinton, Tsinghua University Near realtime global deforestation monitoring Martin Herold, Wageningen University
Using Google Earth Engine to map global biodiversity and predict biological impacts and risks from climate change Walter Jetz, Robert Guralnick Yale, University of Colorado Making better use of Landsat images: Time series algorithms to screen clouds, shadows and snow as well as find deforestation and land cover change. Curtis Woodcock, Boston University