Results 81 to 90 of about 32,207 (198)
InSAR Integrated Machine Learning Approach for Landslide Susceptibility Mapping in California
Landslides pose significant threats to life and property, particularly in mountainous regions. To address this, this study develops a landslide susceptibility model integrating Earth Observation (EO) data, historical data, and Multi-Temporal ...
Divya Sekhar Vaka +3 more
semanticscholar +1 more source
Abstract This article examines how salient sustainability risks from near‐miss natural disasters influence board composition. Using a difference‐in‐differences design, I find that firms located in counties neighboring disaster‐affected areas significantly increase the presence of directors with sustainability expertise following the disaster.
Bo Wang
wiley +1 more source
Resolving a debate over social freedom
Abstract When I am unable to drive due to a road blockade, there seems to be a morally relevant difference between a case in which the road is blocked by workers and a case in which the road is blocked by a landslide. Many political philosophers tried to capture this pretheoretical judgment at a more abstract level through the formulation of a concept ...
Ilkin Huseynli
wiley +1 more source
Landslides are a significant geohazard, which frequently result in significant human, infrastructure, and economic losses. Landslide susceptibility mapping using GIS and remote sensing can help communities prepare for these damaging events.
Rubini Mahalingam +2 more
doaj +1 more source
The 1931 Hawke's Bay earthquake (∼MS 7.8) stands as one of New Zealand's most devastating, causing widespread liquefaction and damage across the city of Napier. However, Napier remains underrepresented in liquefaction hazard studies as compared to other regions in the country.
Aavash Ghimire +3 more
wiley +1 more source
Building centaur responders: is emergency management ready for artificial intelligence?
Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
wiley +1 more source
Grid units have limitations in accurately delineating the morphology and boundaries of slopes, and when used as mapping units in landslide susceptibility evaluation, they cannot accurately describe the landslide susceptibility of natural slopes ...
Xiuying WANG +5 more
doaj +1 more source
Tropical Cyclone Rainfall Spatial Asymmetries in the Lesser Antilles
Rainfall is not proportional to the Saffir‐Simpson wind‐based categories. Lower category tropical cyclones (TS, H1, H2 and H3) can generate more intense rainfall than H4 and H5. Rainfall is asymmetric; as a tropical cyclone intensifies or weakens, the location of peak rainfall shifts.
Catherine Nabukulu +3 more
wiley +1 more source
Landslides are a pervasive natural disaster, resulting in severe social, environmental and economic impacts worldwide. The tropical, mountainous landscape in South-West Mexico is predisposed to landslides because of frequent hurricanes and earthquakes ...
Krzysztof Gaidzik +5 more
doaj +1 more source
ABSTRACT Climate change is one of the major threats to global food production systems, with aquaculture being particularly vulnerable. Despite the widespread use of insurance as a coping mechanism for natural disasters, its adoption in aquaculture remains minimal and often undocumented in developing countries.
Joseph Mphande +8 more
wiley +1 more source

