A universal severity classification for natural disasters
Natural Hazards, 2021 The magnitude of a disaster’s severity cannot be easily assessed because there is no global method that provides real magnitudes of natural disaster severity levels.
H. J. Caldera, S. C. Wirasinghe
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Scripting languages for geomorphological modelling and topographic visualization of Serbia [PDF]
Zbornik Matice Srpske za Prirodne Nauke, 2021 Scripting cartographic technique is a new method of geospatial data visualization - especially with thematic mapping such as geomorphological models.
Lemenkova Polina
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Identifying the influence of natural disasters on technological innovation
, 2021 We study the influence of natural disasters on technological innovation for a panel of 49 countries. After controlling for endogeneity issues and using several measures of natural disasters (occurrences, deaths, affected people, and economic damages) we ...
Yin-E Chen +3 more
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Residents’ Preferences for Rural Housing Disaster Insurance Attributes in Central and Western Tibet
International Journal of Disaster Risk Science, 2023 Understanding the heterogeneous preferences of individuals for disaster insurance attributes is critical for product improvement and policy design.
Tingting Yang +4 more
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The effects of natural disasters on international tourism: A global analysis
Tourism Management, 2020 Tourism is shaped by a wide range of factors and forces, including exogenous ones that have no direct link with the tourism sector. Natural disasters and unexpected events are prime examples of such determining factors, as they have profound effects on ...
J. Rosselló +2 more
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Detecting natural disasters, damage, and incidents in the wild [PDF]
European Conference on Computer Vision, 2020 Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emerged as a low-latency data source to quickly understand disaster situations.
Ethan Weber +7 more
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GRASS GIS FOR CLASSIFICATION OF LANDSAT TM IMAGES BY MAXIMUM LIKELIHOOD DISCRIMINANT ANALYSIS: TOKYO AREA, JAPAN [PDF]
Geodetski Glasnik, 2020 The presented paper is focused on satellite image analysis using GRASS GIS. The aim is to perform comparative analysis of the land cover changes in Tokyo metropolitan area through spatial analysis.
Polina Lemenkova
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Java and Sumatra segments of the Sunda Trench: Geomorphology and geophysical settings analysed and visualized by GMT [PDF]
Glasnik Srpskog Geografskog Društva, 2020 The paper discusses the geomorphology of the Sunda Trench, an oceanic trench located in the eastern Indian Ocean along the Sumatra and Java Islands of the Indonesian archipelago.
Lemenkova Polina
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BMJ Global Health, 2021 Introduction Disasters triggered by climate and other natural hazards are increasing in frequency, severity and duration worldwide. Disasters disproportionately impact women and girls, with some evidence suggesting that violence against women and girls ...
A. Thurston +2 more
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Un/natural Disasters II: Epistemology and Ontology of Multiple Simultaneous Un/natural Disasters
Međunarodne Studije, 2022 In this paper, the author continues developing a philosophy of multiple simultaneous un/natural disasters (MSD) in terms of further development of epistemology of know-how, and the ontology of appearance/reality of such disasters, mostly in the light of ...
Kristijan Krkač
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