Results 11 to 20 of about 4,326 (210)

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 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

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

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

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

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

Changes in the sediment microbial community structure of coastal and inland sinkholes of a karst ecosystem from the Yucatan peninsula

open access: yesScientific Reports, 2022
The karst underground river ecosystem of Yucatan peninsula is composed of cave systems and sinkholes. The microbial diversity of water from this underground river has been studied, but, structure of the microbial community in its cave sediments remained ...
Pablo Suárez-Moo   +5 more
doaj   +1 more source

Integration of an InSAR and ANN for Sinkhole Susceptibility Mapping: A Case Study from Kirikkale-Delice (Turkey)

open access: yesISPRS International Journal of Geo-Information, 2021
Suitable route determination for linear engineering structures is a fundamental problem in engineering geology. Rapid evaluation of alternative routes is essential, and novel approaches are indispensable.
Hakan A. Nefeslioglu   +6 more
doaj   +1 more source

ERT-based Investigation of a Sinkhole in Greene County, Missouri

open access: yesAIMS Geosciences, 2016
Investigating sinkhole morphology and formation mechanisms is key to understanding their long term impact and susceptibility to development, and aids in the design of effective mitigation measures.
Aleksandra V. Varnavina   +3 more
doaj   +1 more source

Recognition the Factors Affecting the Distribution and Occurrence of Sinkholes in the Region of Kermanshah Gazorkhani by Using Logistic Regression [PDF]

open access: yesجغرافیا و توسعه, 2014
In This study, the factors controlling sinkholes and karst sinkholes morphometry were studied. The most popular form of karst in the study area was sinkholes.
Mohammadreza Sarvati   +3 more
doaj   +1 more source

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