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[HTML][HTML] High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs
The rapid uptake of renewable energy technologies in recent decades has increased the
demand of energy researchers, policymakers and energy planners for reliable data on the …
demand of energy researchers, policymakers and energy planners for reliable data on the …
[HTML][HTML] Global building morphology indicators
F Biljecki, YS Chow - Computers, Environment and Urban Systems, 2022 - Elsevier
Characterising and analysing urban morphology is a continuous task in urban data science,
environmental analyses, and many other domains. As the availability and quality of data on …
environmental analyses, and many other domains. As the availability and quality of data on …
The evolution of humanitarian map** within the OpenStreetMap community
In the past 10 years, the collaborative maps of OpenStreetMap (OSM) have been used to
support humanitarian efforts around the world as well as to fill important data gaps for …
support humanitarian efforts around the world as well as to fill important data gaps for …
Optical remote sensing image understanding with weak supervision: Concepts, methods, and perspectives
J Yue, L Fang, P Ghamisi, W ** of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning
Large-scale map** activities can benefit from the vastly increasing availability of earth
observation (EO) data, especially when combined with volunteered geographical …
observation (EO) data, especially when combined with volunteered geographical …
[HTML][HTML] Leveraging openstreetmap and multimodal remote sensing data with joint deep learning for wastewater treatment plants detection
Humans rely on clean water for their health, well-being, and various socio-economic
activities. During the past few years, the COVID-19 pandemic has been a constant reminder …
activities. During the past few years, the COVID-19 pandemic has been a constant reminder …