Deep learning-based generation of building stock data from remote sensing for urban heat demand modeling
Cities are responsible for a large share of the global energy consumption. A third of the total
greenhouse gas emissions are related to the buildings sector, making it an important target …
greenhouse gas emissions are related to the buildings sector, making it an important target …
Empiric recommendations for population disaggregation under different data scenarios
High-resolution population mapping is of high relevance for developing and implementing
tailored actions in several fields: From decision making in crisis management to urban …
tailored actions in several fields: From decision making in crisis management to urban …
Quantifying uncertainty in slum detection: advancing transfer-learning with limited data in noisy urban environments
In the intricate landscape of mapping urban slum dynamics, the significance of robust and
efficient techniques is often underestimated and remains absent in many studies. This not …
efficient techniques is often underestimated and remains absent in many studies. This not …
Peri-urban growth into natural hazard-prone areas: Mapping exposure transformation of the built environment in Nairobi and Nyeri, Kenya, from 1948 to today
A Fekete - Natural Hazards, 2023 - Springer
Kenya experiences massive urban growth, also into natural hazard-prone areas, exposing
settlements and the natural environment to riverine and pluvial floods and other natural …
settlements and the natural environment to riverine and pluvial floods and other natural …
Cross-border urban change detection and growth assessment for mexican-usa twin cities
A Fekete, P Priesmeier - Remote Sensing, 2021 - mdpi.com
Remote sensing applications of change detection are increasingly in demand for many
areas of land use and urbanization, and disaster risk reduction. The Sendai Framework for …
areas of land use and urbanization, and disaster risk reduction. The Sendai Framework for …
Efficiency of CNNs for building extraction: Comparative analysis of performance and time
Openly available geodata of buildings are still incomplete or missing for many regions of the
world. Convolutional neural networks (CNNs) have shown to be suitable for building …
world. Convolutional neural networks (CNNs) have shown to be suitable for building …