Geospatial Modeling for Sinkholes Hazard Map Based on GIS & RS Data

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Journal of Geographic Information System

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
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"Geospatial Modeling for Sinkholes Hazard Map Based on GIS & RS Data"
written by Omar Al-Kouri, A’kif Al-Fugara, Samih Al-Rawashdeh, Balqies Sadoun, Balqies Sadoun, Biswajeet Pradhan,
published by Journal of Geographic Information System, Vol.5 No.6, 2013

has been cited by the following article(s):

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[1]	A depth-wise separable U-Net architecture with multiscale filters to detect sinkholes
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[2]	Current and future sinkhole susceptibility in karst and pseudokarst areas of the conterminous United States
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[3]	Risk assessment and spatial regulation on urban ground collapse based on geo-detector: a case study of Hangzhou urban area
	Natural Hazards, 2023

[4]	Spatial patterns and controlling factors of the evolution process of karst depressions in Guizhou province, China
	Journal of Geographical …, 2023

[5]	Effect of Urbanization on Water Resources: Challenges and Prospects
	Groundwater in Arid and Semi-Arid Areas: Monitoring …, 2023

[6]	Early Sinkhole Detection and Characterization in West-Central Texas Using Insar Time Series and Electrical Resistivity Tomography
	2023

[7]	Geophysical investigation of the karst geosites in Satun UNESCO Global Geopark, Thailand: implication for sinkhole hazard assessment
	Geosciences Journal, 2022

[8]	3D Modelling of Rockfall Hazard at Gunung Lang, Ipoh
	IOP Conference Series …, 2022

[9]	Complex relationships between surface topography, ground motion, and cover sediments in covered karst, west-central Florida, USA
	Cabrera, C Downs… - Geomorphology, 2021

[10]	Geohazards and Geomorphological Setting in Poznań Urban Area, Poland
	Journal of …, 2021

[11]	Prediction of Karst Suitable Area Using Fuzzy AHP Method and Dempster‐Shafer Theory
	Earth and Space Science, 2021

[12]	Determination of The Shortest Route Based on BFS Algorithm for Purpose to Disaster Evacuation Shelter
	2021

[13]	Sinkhole Susceptibility Hazard Mapping Using Analytical Hierarchy Process and GIS Tools for the State of Kuwait
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[14]	Tsunami evacuation Geographic Information System (GIS) education as disaster mitigation
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[15]	HEC-RAS and GIS-based flood plain mapping: A case study of Narai Drain Peshawar
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[16]	Multi-and inter-disciplinary approaches towards understanding the sinkholes' phenomenon in the Dead Sea Basin
	2020

[17]	Reconocimiento semiautomático de depresiones kársticas mediante análisis clúster de las distribuciones morfométricas y su aplicación al karst del Estado de …
	2019

[18]	A Review of Underground Pipeline Leakage and Sinkhole Monitoring Methods Based on Wireless Sensor Networking
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[19]	LiDAR-based Sinkhole Detection and Mapping in Knox County, Tennessee
	2019

[20]	Coastal paleokarst landforms: A morphometric approach via UAV for coastal management (Algarve, Portugal case study)
	Ocean & Coastal Management, 2019

[21]	Semiautomatic recognition of karstic depressions by analysis of aggregates in their morphometric distributions. Application to the karst of the State of Yucatán …
	2019

[22]	Object-Based Classification of Urban Distinct Sub-Elements Using High Spatial Resolution Orthoimages and DSM Layers
	2018

[23]	Establishing an ANN-Based Risk Model for Ground Subsidence Along Railways
	Applied Sciences, 2018

[24]	Sinkhole formation mechanisms and geostatistical-based prediction analysis in a mantled karst terrain
	CATENA, 2018

[25]	Integrated approach for sinkhole evaluation and evolution prediction in the Central Ebro Basin (NE Spain)
	2017

[26]	Integration of multi-criteria and nearest neighbour analysis with kernel density functions for improving sinkhole susceptibility models: the case study of Enemonzo (NE Italy)
	International Journal of Speleology, 2017

[27]	Risk Assessment Of Railroad For The Presence Of Underground Cavities Based On A Statistical Approach
	2017

[28]	Impacts of urbanisation on hydrological and water quality dynamics, and urban water management: a review
	Journal of Medical Engineering & Technology, 2016

[29]	Automated delineation of karst sinkholes from LiDAR-derived digital elevation models
	Geomorphology, 2016

[30]	DSM derived stereo pair photogrammetry: Multitemporal morphometric analysis of a quarry in karst terrain
	The Egyptian Journal of Remote Sensing and Space Science, 2016

[31]	A Unified Geodatabase Design for Sinkhole Inventories in the United States
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[32]	Caracterización de la peligrosidad y percepción de las dolinas en el término municipal de Utebo.
	2015

[33]	Comparison and validation of the recent freely available DEMs over parts of the earth's lowest elevation area: dead Sea, Jordan
	2015

[1]	Negative exokarstic units as a basis for urban management: Yucatan Peninsula, Mexico Discover Geoscience, 2024 DOI:10.1007/s44288-024-00054-w

[2]	Risk assessment and spatial regulation on urban ground collapse based on geo-detector: a case study of Hangzhou urban area Natural Hazards, 2023 DOI:10.1007/s11069-023-06016-8

[3]	Spatial patterns and controlling factors of the evolution process of karst depressions in Guizhou province, China Journal of Geographical Sciences, 2023 DOI:10.1007/s11442-023-2165-z

[4]	Groundwater in Arid and Semi-Arid Areas Earth and Environmental Sciences Library, 2023 DOI:10.1007/978-3-031-43348-1_4

[5]	Geophysical investigation of the karst geosites in Satun UNESCO Global Geopark, Thailand: implication for sinkhole hazard assessment Geosciences Journal, 2022 DOI:10.1007/s12303-021-0025-3

[6]	3D Modelling of Rockfall Hazard at Gunung Lang, Ipoh IOP Conference Series: Earth and Environmental Science, 2022 DOI:10.1088/1755-1315/1103/1/012028

[7]	Prediction of Karst Suitable Area Using Fuzzy AHP Method and Dempster‐Shafer Theory Earth and Space Science, 2021 DOI:10.1029/2019EA000719

[8]	Tsunami evacuation Geographic Information System (GIS) education as disaster mitigation IOP Conference Series: Earth and Environmental Science, 2021 DOI:10.1088/1755-1315/708/1/012004

[9]	Geohazards and Geomorphological Setting in Poznań Urban Area, Poland Journal of Maps, 2021 DOI:10.1080/17445647.2021.1950581

[10]	Multi- and inter-disciplinary approaches towards understanding the sinkholes’ phenomenon in the Dead Sea Basin SN Applied Sciences, 2020 DOI:10.1007/s42452-020-2146-0

[11]	Reconocimiento semiautomático de depresiones kársticas mediante análisis de agregados en sus distribuciones morfométricas. Aplicación al karst del Estado de Yucatán, México Revista Mexicana de Ciencias Geológicas, 2019 DOI:10.22201/cgeo.20072902e.2019.2.1017

[12]	Impacts of urbanisation on hydrological and water quality dynamics, and urban water management: a review Hydrological Sciences Journal, 2016 DOI:10.1080/02626667.2015.1128084

[13]	Comparison and Validation of the Recent Freely Available DEMs over Parts of the Earth’s Lowest Elevation Area: Dead Sea, Jordan International Journal of Geosciences, 2015 DOI:10.4236/ijg.2015.611096

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