Mapping of dwellings in IDP/refugee settlements from very high-resolution satellite imagery using a mask region-based convolutional neural network

GW Gella, L Wendt, S Lang, D Tiede, B Hofer, Y Gao… - Remote Sensing, 2022 - mdpi.com
Earth-observation-based mapping plays a critical role in humanitarian responses by
providing timely and accurate information in inaccessible areas, or in situations where …

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

GW Gella, C Pelletier, S Lefèvre… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Dwelling information is essential for humanitarian emergency response during or in the
aftermath of disasters, especially in temporary settlement areas hosting forcibly displaced …

Towards indirect top-down road transport emissions estimation

R Mukherjee, D Rollend, G Christie… - Proceedings of the …, 2021 - openaccess.thecvf.com
Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions
affecting climate change. Tackling climate change as a global community will require new …

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research

D McVicar, B Avant, A Gould, D Torrejon… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org
BlackSky introduces Smartflow, a cloud-based framework enabling scalable spatiotemporal
geospatial research built on open-source tools and technologies. Using STAC-compliant …

Predicción de Localización de Puestos de Trabajo con Redes Neuronales Sobre Imágenes Satelitales

PAP Kumpf - 2024 - search.proquest.com
La localización de trabajos dentro de las ciudades es fundamental para planificar
adecuadamente los sistemas de transporte. Al ser el propósito laboral el más cuantioso …