[HTML][HTML] Cost estimation for the monitoring instrumentation of landslide early warning systems

M Sapena, M Gamperl, M Kühnl… - … Hazards and Earth …, 2023 - nhess.copernicus.org
Landslides are socio-natural hazards. In Colombia, for example, these are the most frequent
hazards. The interplay of climate change and the mostly informal growth of cities in landslide …

Inferring building height from footprint morphology data

C Stipek, T Hauser, D Adams, J Epting, C Brelsford… - Scientific Reports, 2024 - nature.com
As cities continue to grow globally, characterizing the built environment is essential to
understanding human populations, projecting energy usage, monitoring urban heat island …

[HTML][HTML] Disaggregating census data for population mapping using a Bayesian Additive Regression Tree model

O Yankey, CE Utazi, CC Nnanatu, AN Gadiaga… - Applied …, 2024 - Elsevier
Population data is crucial for policy decisions, but fine-scale population numbers are often
lacking due to the challenge of sharing sensitive data. Different approaches, such as the use …

[HTML][HTML] High-resolution population maps derived from sentinel-1 and sentinel-2

N Metzger, RC Daudt, D Tuia, K Schindler - Remote Sensing of …, 2024 - Elsevier
Detailed population maps play an important role in diverse fields ranging from humanitarian
action to urban planning. Generating such maps in a timely and scalable manner presents a …

Dual-environment feature fusion-based method for estimating building-scale population distributions

G Liu, R Li, J Xia, Z Liu, J Cai, H Wu… - Geo-Spatial Information …, 2023 - Taylor & Francis
Information on the population distribution at the building scale can help governments make
supplemental decisions to address complex urban management issues. However, the …

[HTML][HTML] Estimating population density using open-access satellite images and geographic information system: Case of Al Ain city, UAE

MM Yagoub, YT Tesfaldet, T AlSumaiti… - Remote Sensing …, 2024 - Elsevier
Efficient and real-time estimates of population density are crucial for monitoring urban
systems and disaster response. To develop this capability, this study estimates population …

[HTML][HTML] An ANN-based method C population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021

W Lu, Q Weng - Computers, Environment and Urban Systems, 2024 - Elsevier
A comprehensive understanding of population distribution is critical for assessing socio-
economic issues. However, the widely used dasymetric mapping method relies on models …

[HTML][HTML] Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data

S Doda, M Kahl, K Ouan, I Obadic, Y Wang… - International Journal of …, 2024 - Elsevier
Accurate and up-to-date mapping of the human population is fundamental for a wide range
of disciplines, from effective governance and establishing policies to disaster management …

Assessment of heat exposure risk for urban populations and spatio-temporal patterns: A perspective of urban functional zones in Xi'an, China

X Huang, L Li, X Yan, W Ji, K Zhao, X Zhao - Urban Climate, 2024 - Elsevier
Heat exposure risk has obvious spatio-temporal dynamics in cities, especially in urban
functional zones (UFZs), which have significant variations in human activities. However …

High-resolution population mapping based on SDGSAT-1 glimmer imagery and deep learning: a case study of the Guangdong-Hong Kong-Marco Greater Bay Area

H Duan, Z Shi, J Ge, F Wu, Y Liu, H Zhang… - International Journal of …, 2024 - Taylor & Francis
Accurate population mapping is crucial for disaster management, urban planning, etc.
However, current methods using nighttime light (NTL) and gridded population datasets are …