LANDSLIP outputs

Knowledge Products:

 

The use of social media in natural hazard Early Warning Systems

Bee, E. J. and Budimir, M. 2019. The use of social media in natural hazard early warning systems. Science for Humanitarian Emergencies and Resilience (SHEAR) Knowledge Product. Available at: https://practicalaction.org/wp-content/uploads/2019/07/SHEAR_The-use-of-social-media-in-natural-hazard-Early-Warning-Systems.pdf

Meteorological data for regional landslide early warning systems

(Work in progress)

Landslide data for regional landslide early warning systems

(Work in progress)

Landslide forecasting for early warning systems: overview of potential modelling approaches

(Work in progress)

The landslide forecast bulletin

(Work in progress)

Institutional roles in the Landslide Forecasting Centre

(Work in progress)

Introduction to landslide early warning systems

(Work in progress)

Introduction to regional landslide early warning systems

(Work in progress)

Using mobile phone technologies for Disaster Risk Management

(Work in progress)

Workshop reports:

 

Recommendations for a National Landslide Forecasting Centre in India

(Work in progress)

Journey from prototype to operations in current study site locations

(Work in progress)

Setting up a prototype in a new location

(Work in progress)

Evolution Roadmap for India's Landslide Early Warning System

(Work in progress)

Manual of approach to develop a people-centred prototype landslide early warning system in India: LANDSLIP’s experience

(Work in progress)

Publications:

 

Weather pattern definitions for India and their daily historical classifications (1979 to 2016)

Neal R, Robbins J, Dankers R, Mitra A, Jayakumar A, Rajagopal EN and George A (2019b) Weather pattern definitions for India and their daily historical classifications (1979 to 2016). PANGAEA online data repository. https://doi.org/10.1594/PANGAEA.902030

A tool for the automatic calculation of rainfall thresholds for landslide occurrence

Alvioli M, Mondini AC, Fiorucci F, Cardinali M and Marchesini I (2018) Topography-driven satellite imagery analysis for landslide mapping, Geomatics, Natural Hazards and Risk, 9(1): 544-567. https://doi.org/10.1016/j.envsoft.2018.03.024

Topography-driven satellite imagery analysis for landslide mapping

Gariano SL, Melillo M, Peruccacci S, Brunetti MT (2020) How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? Natural Hazards 100: 655–670 (2020). https://doi.org/10.1080/19475705.2018.1458050

Deriving optimal weather pattern definitions for the representation of precipitation variability over India

Neal R, Robbins J, Dankers R, Mitra A, Jayakumar A, Rajagopal EN and Adamson G (2019a) Deriving optimal weather pattern definitions for the representation of precipitation variability over India. International Journal of Climatology 40(1), 342-360. https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.6215

Ontology-based discovery of time-series data sources for landslide early warning system

Phengsuwan J, Shah T, James P, Thakker D, Barr S. and Ranjan R. (2020a) Ontology-based discovery of time-series data sources for landslide early warning system. Computing, 102(3): 745-763. https://doi.org/10.1007/s00607-019-00730-7

Context-Based Knowledge Discovery and Querying for Social Media Data

Phengsuwan J, Balan-Thekkummal N, Shah T, James P, Thakker D, Sun R, Pullarkatt D, Hemalatha T, Vinodini Ramesh M, and Ranjan R. (2019), Context-Based Knowledge Discovery and Querying for Social Media Data. 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI), Los Angeles, CA, USA, 2019, 307-314, https://doi.org/10.1109/IRI.2019.00056

Geographical landslide early warning systems

Guzzetti F, Gariano, S.L, Peruccacci, S, Brunetti M.T, Marchesini, I, Rossi, M, and Melillo, M. (2020) Geographical landslide early warning systems, Earth-Science Reviews 200, 102973, ISSN 0012-8252, https://doi.org/10.1016/j.earscirev.2019.102973

How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering

Gariano SL, Melillo M, Peruccacci S, Brunetti MT (2020) How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? Natural Hazards 100: 655–670 (2020). https://doi.org/10.1007/s11069-019-03830-x

An ontology‐based system for discovering landslide‐induced emergencies in electrical grid

Phengsuwan J, Shah T, Sun R, James P, Thakker D, Ranjan R (2020b) An ontology‐based system for discovering landslide‐induced emergencies in electrical grid. Trans Emerging Tel Tech. 2020;e3899. https://doi.org/10.1002/ett.3899

Use of Social Media Data in Disaster Management: A Survey

Phengsuwan, J.; Shah, T.; Thekkummal, N.B.; Wen, Z.; Sun, R.; Pullarkatt, D.; Thirugnanam, H.; Ramesh, M.V.; Morgan, G.; James, P.; Ranjan, R. Use of Social Media Data in Disaster Management: A Survey. Future Internet 2021, 13, 46. https://doi.org/10.3390/fi13020046

Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan

Gariano, S.L., Sarkar, R., Dikshit, A. et al. Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan. Bull Eng Geol Environ 78, 4325–4332 (2019). https://link.springer.com/article/10.1007/s10064-018-1415-2

LEWS2020 workshop on regional Landslide Early Warning Systems – experiences, progresses and needs

Calvello, M., Devoli, G., Freeborough, K., Gariano, S. L., Guzzetti, F., Reeves, H. J., Stähli, M., and LEWS2020 workshop participants, T.: LEWS2020 workshop on regional Landslide Early Warning Systems – experiences, progresses and needs, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9917, https://doi.org/10.5194/egusphere-egu2020-9917, 2020 https://doi.org/10.5194/egusphere-egu2020-9917

Characterising landslide processes using limited data: case study on East Sikkim

India Heijenk, R., Malamud, B., Dashwood, C., Wood, J., Arnhardt, C., and Reeves, H.: Characterising landslide processes using limited data: case study on East Sikkim, India, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18520, https://doi.org/10.5194/egusphere-egu2020-18520

Mobile phone technologies for disaster risk reduction

Paul, J. D., Bee, E. J., and Budimir, M.. (2021). "Mobile phone technologies for disaster risk reduction." Climate Risk Management 32: 100296. https://doi.org/10.1016/j.crm.2021.100296

Press Release:

GSI testing regional landslide early warning models

GSI testing landslide early warning system in Darjeeling and Nilgiris

Geological Survey of India starts testing of early warning system for landslides

GSI testing landslide early warning system in Darjeeling and Nilgiris

Geological Survey of India chalks out plan to mitigate impact of natural calamities during the pandemic period

Indian weather patterns and rainfall variability

Landslides: the next frontier of hazard early warning (UR2020)

LandAware May Day: stakeholder engagement and communication

SHEAR website

LandAware website

https://www.landaware.org/blog/

LANDSLIP newsletter June 2021

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SHEAR explores the use of mobile phone technologies in Disaster Risk Management

LANDSLIP newsletter June 2020

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LANDSLIP newsletter October 2019

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