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Identifying a Slums' Degree of Deprivation from VHR Images Using Convolutional Neural Networks., , , and . Remote Sensing, 11 (11): 1282 (2019)An exploration of natural capital in the context of multiple deprivations., , , and . JURSE, page 157-160. IEEE, (2011)The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator., , , , , , and . ISPRS Int. J. Geo Inf., 7 (11): 428 (2018)The utility of the co-occurrence matrix to extract slum areas from VHR imagery., , , and . JURSE, page 1-4. IEEE, (2015)The emergence of slums: A contemporary view on simulation models., , , , and . Environ. Model. Softw., (2014)Global Ambitions, Local Contexts: Alternative Ways of Knowing the World., and . ISPRS Int. J. Geo Inf., 8 (11): 516 (2019)Special Issue "Remote-Sensing-Based Urban Planning Indicators"., , and . Remote. Sens., 13 (7): 1264 (2021)City nighttime light variations using ISS images., , , , and . JURSE, page 1-4. IEEE, (2017)Modelling the impact of household life cycle on slums in Bangalore., , , and . Comput. Environ. Urban Syst., (2017)OGITO, an Open Geospatial Interactive Tool to support collaborative spatial planning with a maptable., , , , and . Comput. Environ. Urban Syst., (2021)