Cities grow in 3D space. But urban remote sensing capabilities in the vertical dimension have been limited by data availalbility. Is it possible to characterize urban 3D strucutre using open datasets (Such as Landsat and global DSMs)?
In this study, I found that the synergy of freely available datasets could indeed be used for characterizing urban 3D structure at large scale. Although data quality and availability issues need to be addressed, we can still map a great amount of spatial details with innovative machine learning techniques.
The dataset is downloadable via:
Wang, Panshi; Huang, Chengquan, 2018, “30m Building Height/Volume of England Based on the Synergy of free elevation and Landsat Data”, http://dx.doi.org/10.7910/DVN/NNUDZG, Harvard Dataverse, V1
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