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Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night.

, , , , , , , , , , and . Comput. Environ. Urban Syst., (2020)

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Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information., , , , , , , , and . Remote. Sens., 11 (21): 2543 (2019)A multi-agent simulation to assess the risk of malaria re-emergence in southern France, , , and . Ecological Modelling, 220 (2): 160 - 174 (2009)Exploring nationally and regionally defined models for large area population mapping., , , , and . Int. J. Digit. Earth, 8 (12): 989-1006 (2015)A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)An urban expansion model for African cities using fused multi temporal optical and SAR data., , , , , , , and . IGARSS, page 1159-1162. IEEE, (2015)Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night., , , , , , , , , and 1 other author(s). Comput. Environ. Urban Syst., (2020)Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France., , , , , , , , , and 1 other author(s). International Journal of Health Geographics, (2008)Mapping 20 Years of Urban Expansion in 45 Urban Areas of Sub-Saharan Africa., , , and . Remote. Sens., 13 (3): 525 (2021)Worldpop - Fusion of Earth and Big Data for Intraurban Population Mapping., , , , , and . IGARSS, page 2070-2071. IEEE, (2018)Automated supervised classification of Ouagadougou built-up areas in Landsat scenes using OpenStreetMap., , and . JURSE, page 1-4. IEEE, (2017)