Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23

arXiv:2309.08607v2 Announce Type: replace-cross
Abstract: The ability to constantly monitor urban changes is of significant socio-economic interest, like detecting trends in urban expansion or tracking the vitality of urban areas. Especially in present conflict zones or disaster areas, such insights provide valuable information to keep track of the current situation. However, they are often subject to limited data availability in space and time. We built on our previous work, which used a transferred Deep Neural Network (DNN) operating on multi-modal …

abstract arxiv conflict cs.cv cs.cy cs.lg data disaster economic expansion information insights modal monitoring multi-modal sentinel tracking trends type ukraine urban