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Solutions for a cultivated planet, , , , , , , , , and 11 other author(s). Nature, (October 2011)Incremental Dual-memory LSTM in Land Cover Prediction., , , , , , and . KDD, page 867-876. ACM, (2017)Learning large-scale plantation mapping from imperfect annotators., , , , , and . IEEE BigData, page 1192-1201. IEEE Computer Society, (2016)Plantation Mapping in Southeast Asia., , , , , and . Frontiers Big Data, (2019)Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations., , , , , , and . Remote. Sens., 12 (4): 636 (2020)Toward Principles for Enhancing the Resilience of Ecosystem Services, , , , , , , , , and 8 other author(s). Annual Review of Environment and Resources, 37 (1): 120810110322007 (November 2011)Predict Land Covers with Transition Modeling and Incremental Learning., , , , , , and . SDM, page 171-179. SIAM, (2017)Preparing for the future: teaching scenario planning at the graduate level, , , , , , , , , and 3 other author(s). Frontiers in Ecology and the Environment, 8 (5): 267--273 (2010)Intuitive simulation, querying, and visualization for river basin policy and management., , , and . IBM J. Res. Dev., 53 (3): 7 (2009)Climate variation explains a third of global crop yield variability, , , and . Nature Communications, 6 (1): 5989+ (Jan 22, 2015)