Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India-Reference-Cited by-同舟云学术

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Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India

Published:2023-05 Issue: Volume:49 Page:101503
ISSN:2212-0955
Container-title:Urban Climate
language:en
Short-container-title:Urban Climate

Author:

Saravanan Subbarayan,Abijith Devanantham,Reddy Nagireddy Masthan,KSS Parthasarathy,Janardhanam Niraimathi,Sathiyamurthi Subbarayan,Sivakumar Vivek

Publisher

Elsevier BV

Subject

Atmospheric Science,Urban Studies,Environmental Science (miscellaneous),Geography, Planning and Development

Reference96 articles.

1. Estimating built-up risk from multi-natural hazards: A case study of Northern coastal plains of Tamil Nadu;Abarna;Nat. Hazards. Res.,2023

2. Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees;Abedi;Geocarto Int.,2021

3. Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India;Abijith;Environ. Sci. Pollut. Res.,2022

4. Forecasting landslides using SIGMA model: a case study from Idukki, India;Abraham;Geomat. Nat. Hazards Risk,2021

5. Flood risk public perception in flash flood-prone areas of Punjab;Ahmad;Pakistan. Environ. Sci. Pollut. Res.,2022

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