Results 41 to 50 of about 5,381 (217)
Sensitivity and evaluation of current fire risk and future projections due to climate change: the case study of Greece [PDF]
Natural Hazards and Earth System Sciences, 2014 Current trends in the Mediterranean climate, and more specifically in Greece, indicate longer and more intense summer droughts that even extend out of season. In connection to this, the frequency of forest fire occurrence and intensity is on the rise. In
A. Karali +5 more
doaj +1 more source
Conservation Science and Practice, EarlyView.Climate change has reached unprecedented levels, causing frequent extreme events like droughts and fires. These changes are driving a sharp rise in extinction risk for mammals and threatening key Nature's Contributions to People (NCP) such as clean water, air quality, and climate regulation.
Marta Cimatti +2 more
wiley +1 more source
Βελτιστοποίηση του Καναδικού Δείκτη Κινδύνου Πυρκαγιάς (FWI) για την περιοχή της Μεσογείου
, 2023 Summarization: Fire weather prognosis tools are of great importance for mitigating the catastrophic impacts of wildfires posed on human lives, valuable resources and assets.
Angelis Panagiotis(http://users.isc.tuc.gr/~pangelis) +1 more
core +1 more source
Application of Laplace Domain Waveform Inversion to Cross-Hole Radar Data
Remote Sensing, 2019 Full waveform inversion (FWI) can yield high resolution images and has been applied in Ground Penetrating Radar (GPR) for around 20 years. However, appropriate selection of the initial models is important in FWI because such an inversion is highly ...
Xu Meng, Sixin Liu, Yi Xu, Lei Fu
doaj +1 more source
Diffusion Priors Enhanced Velocity Model Building From Time‐Lag Images Using a Neural Operator
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Velocity model building (VMB) serves as a crucial component for achieving high precision subsurface imaging. However, conventional VMB methods are often computationally expensive and time consuming. In recent years, with the rapid advancement of deep learning, particularly the success of generative models and neural operators (NOs), deep ...
Xiao Ma +2 more
wiley +1 more source
Exploring Forest Fire Dynamics: Fire Danger Mapping in Antalya Region, Türkiye
ISPRS International Journal of Geo-InformationThe Mediterranean region experiences the annual destruction of thousands of hectares due to climatic conditions. This study examines forest fires in Türkiye’s Antalya region, a Mediterranean high-risk area, from 2000 to 2023, analyzing 26 fires that each
Hatice Atalay +2 more
doaj +1 more source
Full Waveform Inversion for NDT using ultrasonic linear arrays
Research and Review Journal of Nondestructive Testing, 2023 Ultrasonic (UT) imaging is a widespread technique for nondestructive testing (NDT). The state-of-the-art UT image reconstruction algorithms are based on delay-and-sum (DAS) operations, which assume constant acoustic velocity across the tested objects ...
Daniel Rossato +5 more
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements.
Abdelrahman Elmeliegy +4 more
wiley +1 more source
Combining Ensemble Transform Kalman Filter and FWI for Assessing Uncertainties
, 2019 International audienceFull Waveform Inversion (FWI) is an iterative inversion method whose purpose is to retrieve high-resolution models of subsurface physical parameters.
R. Brossier +5 more
core +1 more source