A review of building extraction from remote sensing imagery: Geometrical structures and semantic attributes

Q Li, L Mou, Y Sun, Y Hua, Y Shi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the remote sensing community, extracting buildings from remote sensing imagery has
triggered great interest. While many studies have been conducted, a comprehensive review …

A review of spatial variations of multiple natural hazards and risk management strategies in Pakistan

MA Hussain, Z Shuai, MA Moawwez, T Umar, MR Iqbal… - Water, 2023 - mdpi.com
Natural hazards are dynamic and unpredictable events that are a continuous threat to global
socio-economic development. Humans' reactions to these catastrophes are influenced by …

[HTML][HTML] Evaluation of deep learning algorithms for national scale landslide susceptibility map** of Iran

PTT Ngo, M Panahi, K Khosravi, O Ghorbanzadeh… - Geoscience …, 2021 - Elsevier
The identification of landslide-prone areas is an essential step in landslide hazard
assessment and mitigation of landslide-related losses. In this study, we applied two novel …

[HTML][HTML] Forest fire susceptibility and risk map** using social/infrastructural vulnerability and environmental variables

O Ghorbanzadeh, T Blaschke, K Gholamnia, J Aryal - Fire, 2019 - mdpi.com
Forests fires in northern Iran have always been common, but the number of forest fires has
been growing over the last decade. It is believed, but not proven, that this growth can be …

Torchgeo: deep learning with geospatial data

AJ Stewart, C Robinson, IA Corley, A Ortiz… - Proceedings of the 30th …, 2022 - dl.acm.org
Remotely sensed geospatial data are critical for applications including precision agriculture,
urban planning, disaster monitoring and response, and climate change research, among …

Land subsidence analysis using synthetic aperture radar data

R Bokhari, H Shu, A Tariq, N Al-Ansari, R Guluzade… - Heliyon, 2023 - cell.com
Land subsidence is considered a threat to develo** cities and is triggered by several
natural (geological and seismic) and human (mining, groundwater withdrawal, oil and gas …

[HTML][HTML] Multi-hazard susceptibility assessment using the analytical hierarchy process and frequency ratio techniques in the Northwest Himalayas, Pakistan

A Rehman, J Song, F Haq, S Mahmood, MI Ahamad… - Remote Sensing, 2022 - mdpi.com
Globally, natural hazards have become more destructive in recent times because of rapid
urban development and exposure. Consequently, significant human life loss, the damage to …

Physical and anthropogenic factors related to landslide activity in the Northern Peloponnese, Greece

HD Skilodimou, GD Bathrellos, E Koskeridou, K Soukis… - Land, 2018 - mdpi.com
The geological, geomorphic conditions of a mountainous environment along with
precipitation and human activities influence landslide occurrences. In many cases, their …

[HTML][HTML] A framework for multi-risk assessment in a historical area of Lisbon

G Mascheri, N Chieffo, C Arrighi, C Del Gaudio… - International Journal of …, 2024 - Elsevier
Historic areas have faced escalating risks due to population growth, urbanization, climate
change, and increasing public awareness. Existing risk assessment methods often focus on …

The application of a Dempster–Shafer-based evidential belief function in flood susceptibility map** and comparison with frequency ratio and logistic regression …

MS Tehrany, L Kumar - Environmental Earth Sciences, 2018 - Springer
Flood is one of the most common natural disasters worldwide. The aim of this study was to
evaluate the application of the Dempster–Shafer-based evidential belief function (EBF) for …