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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]

open access: yesThe 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
doaj   +1 more source

Data on manmade sinkholes due to leakage in underground pipelines in different subsurface soil profiles

open access: yesData 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
doaj   +1 more source

Sinkhole risk mapping and early warning: the case of Camaiore (Italy)

open access: yesFrontiers in Earth Science, 2023
Introduction: Sinkholes are ground collapses that can cause significant damage to infrastructure and buildings. Part of the risk represented by sinkholes is related to their abruptness and the difficulty in spotting in advance their exact location within
Emanuele Intrieri   +7 more
doaj   +1 more source

Detecting and Tracking Sinkholes Using Multi-Level Convolutional Neural Networks and Data Association

open access: yesIEEE 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
doaj   +1 more source

Sinkhole Occurrence

open access: yes, 2021
layers of the sinkhole occurrence for Konya ...
SARI, F
core   +2 more sources

SinkholeNet: A novel RGB-slope sinkhole dataset and deep weakly-supervised learning framework for sinkhole classification and localization

open access: yesEgyptian 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
doaj   +1 more source

Forest in Karst Mountain Sinkhole of Southeastern China Provides Refugium for the Preservation of Bryophyte Diversity

open access: yesActa Societatis Botanicorum Poloniae, 2020
The negative landform of sinkholes provides belowground level refugia for a high diversity of forest species compared to the forests on the surface of surrounding karst plateaus in southeastern China.
Xiaofang Li   +3 more
doaj   +1 more source

Effective modelling of sinkhole detection algorithm for edge‐based Internet of Things (IoT) sensing devices

open access: yesIET Communications, 2022
The sinkhole attacks for Internet of Things (IoT) situations can overcome the network and interrupt communication. Sinkhole attacker nodes can advertise the best possible shortest path towards the destination, and once the normal node starts transferring
Ahmad Bilal   +2 more
doaj   +1 more source

Three-dimensional sinkhole stability of spherical cavity

open access: yes, 2022
Sinkhole occurrences due to underground water mains operations have piqued people’s curiosity. Most research works were in relation to geophysical practices to discover the subsurface cavity.
Shiau, Jim   +2 more
core   +1 more source

The Role of Earth Observation, with a Focus on SAR Interferometry, for Sinkhole Hazard Assessment

open access: yesRemote Sensing, 2018
Sinkholes are global phenomena with significant consequences on the natural- and built environment. Significant efforts have been devoted to the assessment of sinkhole hazards to predict the spatial and temporal occurrence of future sinkholes as well as ...
Andre Theron, Jeanine Engelbrecht
doaj   +1 more source

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