Articles | Volume 12, issue 4
Earth Syst. Sci. Data, 12, 2899–2918, 2020
Earth Syst. Sci. Data, 12, 2899–2918, 2020
Data description paper
16 Nov 2020
Data description paper | 16 Nov 2020

Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis

Lina Hao et al.

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Cited articles

Agarwal, R.: Original Research Article Lesson Learned from Killer Floods in Kerala?: Time for Retrospection, Manag. Econ. Res. J., 4, 268–280, 2018. 
Aksoy, B. and Ercanoglu, M.: Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey), Comput. Geosci., 38, 87–98,, 2012. 
Alcántara-Ayala, I., Esteban-Chávez, O., and Parrot, J. F.: Landsliding related to land-cover change: A diachronic analysis of hillslope instability distribution in the Sierra Norte, Puebla, Mexico, Catena, 65, 152–165,, 2006. 
Alkevli, T. and Ercanoglu, M.: Assessment of ASTER satellite images in landslide inventory mapping: Yenice-Gökçebey (Western Black Sea Region, Turkey), Bull. Eng. Geol. Environ., 70, 607–617,, 2011. 
Short summary
Kerala in India was subjected to an extreme rainfall event in the monsoon season of 2018 which triggered extensive floods and landslides. In order to study whether the landslides were related to recent land use changes, we generated an accurate and almost complete landslide inventory based on two existing datasets and the detailed interpretation of images from the Google Earth platform. The final dataset contains 4728 landslides with attributes of land use in 2010 and land use in 2018.