Results 11 to 20 of about 25,545 (288)
, 1995 The following data were compiled from the Florida Sinkhole Research Institute data base. Thatdatabase, which contains approximately 1900 sinkholes, is available from the Florida Geological Surveyupon request. The data are arranged alphabetically by county. The first two digits of the identification number representsthe county.
Spencer, Steven, Lane, Ed.
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Remote Sensing, 2021 Sinkholes are sudden disasters that are usually small in size and occur at unexpected locations. They may cause serious damage to life and property. Sinkhole-prone areas can be monitored using Interferometric Synthetic Aperture Radar (InSAR) time series.
Anurag Kulshrestha +2 more
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Passive Rule-Based Approach to Detect Sinkhole Attack in RPL-Based Internet of Things Networks
IEEE Access, 2023 An Internet of Things (IoT) refers to a network of smart devices that enable data collection and exchange. RPL is a protocol specifically designed for IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN) to bring the concept of IoT into reality.
Shadi Al-Sarawi +4 more
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Growth of a sinkhole in a seismic zone of the northern Apennines (Italy) [PDF]
Natural Hazards and Earth System Sciences, 2018 Sinkhole collapse is a major hazard causing substantial social and economic losses. However, the surface deformations and sinkhole evolution are rarely recorded, as these sites are known mainly after a collapse, making the assessment of sinkhole ...
A. La Rosa +7 more
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Ground stability of ellipsoidal cavity due to pipeline defects
Applications in Engineering Science, 2023 The problem of road-related sinkhole stability has long been one of the main safety concerns to pavement engineers. Collapse and blowout failures are two typical types of pipeline-related sinkhole failures.
Jim Shiau +4 more
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Geocarto International, 2023 DRASTIC is a model used to reliably assess the pollution potential of aquifers at global location. Despite various criticisms of this model or its optimization, sometimes the territorial or geological conditions still must rely on this model approach ...
K. Taheri +6 more
semanticscholar +1 more source
Data in Brief, 2021 This paper provides simulated datasets for different versions of small-scale physical sinkhole models that are essential to understand the sinkhole formation rate.
Haibat Ali, Jae-ho Choi
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SINKHOLE SUSCEPTIBILITY HAZARD ZONES USING GIS AND ANALYTICAL HIERARCHICAL PROCESS (AHP): A CASE STUDY OF KUALA LUMPUR AND AMPANG JAYA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Sinkhole is not classified as new phenomenon in this country, especially surround Klang Valley. Since 1968, the increasing numbers of sinkhole incident have been reported in Kuala Lumpur and the vicinity areas.
M. A. H. M. Rosdi +4 more
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IEEE Access, 2020 Sinkholes can cause severe property damage and threaten public safety. Therefore, the early prediction and detection of sinkholes are important measures for protecting both citizenry and infrastructure.
Hoai Nam Vu +3 more
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Egyptian Journal of Remote Sensing and Space Sciences, 2023 This paper proposes a novel multimodal deep weakly-supervised learning framework, SinkholeNet, to classify and localize sinkhole(s) in high-resolution RGB-slope aerial images.
Amir Yavariabdi +6 more
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