Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images-A systematic review
SS Matin, B Pradhan - Geocarto International, 2022 - Taylor & Francis
Assessing the extent and level of building damages is crucial to support post-earthquake
rescue and relief activities. There is a large body of literature proposing novel frameworks for …
rescue and relief activities. There is a large body of literature proposing novel frameworks for …
[HTML][HTML] Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level
Accurate and quick building damage assessment is an indispensable step after a
destructive earthquake. Acquiring building damage information of the seismic area in a …
destructive earthquake. Acquiring building damage information of the seismic area in a …
[HTML][HTML] Structural building damage detection with deep learning: Assessment of a state-of-the-art CNN in operational conditions
Remotely sensed data can provide the basis for timely and efficient building damage maps
that are of fundamental importance to support the response activities following disaster …
that are of fundamental importance to support the response activities following disaster …
[HTML][HTML] Multi-hazard and spatial transferability of a cnn for automated building damage assessment
T Valentijn, J Margutti, M van den Homberg… - Remote Sensing, 2020 - mdpi.com
Automated classification of building damage in remote sensing images enables the rapid
and spatially extensive assessment of the impact of natural hazards, thus speeding up …
and spatially extensive assessment of the impact of natural hazards, thus speeding up …
[HTML][HTML] Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning
This article presents a framework for semi-automated building damage assessment due to
earthquakes from remote-sensing data and other supplementary datasets, while also …
earthquakes from remote-sensing data and other supplementary datasets, while also …
[HTML][HTML] A rapid self-supervised deep-learning-based method for post-earthquake damage detection using UAV data (case study: Sarpol-e Zahab, Iran)
Immediately after an earthquake, rapid disaster management is the main challenge for
relevant organizations. While satellite images have been used in the past two decades for …
relevant organizations. While satellite images have been used in the past two decades for …
[HTML][HTML] Estimation of turbulent fluxes over almond orchards using high-resolution aerial imagery with one and two-source energy balance models
SR Peddinti, I Kisekka - Agricultural Water Management, 2022 - Elsevier
Estimation of actual crop evapotranspiration (ET c) using high-resolution aerial remote
sensing data is important to detect water stress, map, and manage water resources in …
sensing data is important to detect water stress, map, and manage water resources in …
Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches
K Lee, B Kim, S Park - GIScience & Remote Sensing, 2023 - Taylor & Francis
The abiotic and biotic conditions in forest ecosystems can be significantly influenced by
forest fires. However, difficulties in policy decisions for restoration inevitably occur in the …
forest fires. However, difficulties in policy decisions for restoration inevitably occur in the …
First evaluation of fire severity retrieval from PRISMA hyperspectral data
The unprecedented availability of spaceborne hyperspectral data has great potential to
provide fire severity estimates that align with post-fire management needs, overcoming …
provide fire severity estimates that align with post-fire management needs, overcoming …
[HTML][HTML] Integrating post-event very high resolution SAR imagery and machine learning for building-level earthquake damage assessment
Earthquakes have devastating effects on densely urbanised regions, requiring rapid and
extensive damage assessment to guide resource allocation and recovery efforts. Traditional …
extensive damage assessment to guide resource allocation and recovery efforts. Traditional …