An Early Warning System for Regional Rain-Induced Landslide Hazard

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

International Journal of Geosciences

ISSN Print: 2156-8359
ISSN Online: 2156-8367
www.scirp.org/journal/ijg
E-mail: ijg@scirp.org

Google-based Impact Factor: 1.03
Citations

Journals Menu

"An Early Warning System for Regional Rain-Induced Landslide Hazard"
written by Shengshan Hou, Ang Li, Bin Han, Pinggen Zhou,
published by International Journal of Geosciences, Vol.4 No.3, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Machine Learning and IoT-Based Approaches to Detect and Predict Rainfall-Triggered Landslides.
	Revue d' …, 2023

[2]	Pengaruh Jarak Transmitter Dan Receiver Terhadap Performasi Modul HC12 Pada Prototipe LSM (Landslide Smart Mitigation)
	2020

[3]	An Integrated WebGIS System for Shallow Landslide Hazard Early Warning
	2020

[4]	Mobile Application and a Web-Based Geographic Information System for Sharing Geological Hazards Information in East and Southeast Asia
	2019

[5]	Shallow Landslides Monitoring Using the Internet of Things and Machine Learning Technique
	2019

[6]	Interlinkages between Desertification, Land Degradation, Food Security and GHG fluxes: 2 synergies, trade-offs and Integrated Response 3 Options 4
	2019

[7]	An affordable non-destructive method for monitoring soil parameters in large scale using electrical resistivity technique
	2017

[8]	Sistema de Información para Detección de Crecientes Súbitas en la Cuenca del Río Manzanares en Santa Marta, Colombia
	2017

[9]	Performance comparison of artificial neural network models for daily rainfall prediction
	International Journal of Automation and Computing, 2016

[10]	A balanced decomposition approach to real-time visualization of large vector maps in CyberGIS
	Frontiers of Computer Science, 2014

[11]	A Multilayered Feed-Forward Neural Network Architecture for Rainfall Forecasting

[1]	Understanding and Reducing Landslide Disaster Risk ICL Contribution to Landslide Disaster Risk Reduction, 2021 DOI:10.1007/978-3-030-60311-3_22

[2]	Shallow Landslides Monitoring Using the Internet of Things and Machine Learning Technique 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 2019 DOI:10.1109/ICSSIT46314.2019.8987809

[3]	A balanced decomposition approach to real-time visualization of large vector maps in CyberGIS Frontiers of Computer Science, 2015 DOI:10.1007/s11704-014-3498-7

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

International Journal of Geosciences

International Journal of Geosciences

Journals Menu

Home

About SCIRP

Service

Policies