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The Role of Earth Observation in an Integrated Deprived Area Mapping "System" for Low-to-Middle Income Countries.

, , , , , , , , , , , and . Remote. Sens., 12 (6): 982 (2020)

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On the knowledge gain of urban morphology from space., , , , and . Comput. Environ. Urban Syst., (2022)Extracting Urban Deprivation Indicators Using Superspectral Very-High-Resolution Satellite Imagery., , , and . IGARSS, page 2114-2117. IEEE, (2021)EO-Based Low-Cost Frameworks to Address Global Urban Data GAPS on Deprivation and Multiple Hazards., , , , , , and . IGARSS, page 2106-2109. IEEE, (2021)Contribution of nDSM derived from VHR stereo imagery to urban land-cover mapping in Sub-Saharan Africa., , , , and . JURSE, page 1-4. IEEE, (2017)Is It All the Same? Mapping and Characterizing Deprived Urban Areas Using WorldView-3 Superspectral Imagery. A Case Study in Nairobi, Kenya., , , , , , and . Remote. Sens., 13 (24): 4986 (2021)Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images., , , , , and . Remote. Sens., 10 (9): 1440 (2018)The Role of Earth Observation in an Integrated Deprived Area Mapping "System" for Low-to-Middle Income Countries., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (6): 982 (2020)Mapping urban deprivation from Sentinel 1/2 using artificial intelligence and weakly labelled data., , , and . JURSE, page 1-4. IEEE, (2023)Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery., , , , , and . Remote. Sens., 11 (5): 597 (2019)An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification., , , , , and . Remote. Sens., 9 (4): 358 (2017)