Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. (arXiv:2211.04039v1 [cs.LG])

Fine-grained population maps are needed in several domains, like urban
planning, environmental monitoring, public health, and humanitarian operations.
Unfortunately, in many countries only aggregate census counts over large
spatial units are collected, moreover, these are not always up-to-date. We
present POMELO, a deep learning model that employs coarse census counts and
open geodata to estimate fine-grained population maps with 100m ground sampling
distance. Moreover, the model can also estimate population numbers when no
census counts at all are available, by …

arxiv census fine-grained geodata mapping population