Abstract
In order to create a landslip susceptibility map (LSM) for the district of Chikmagalur in the state of Karnataka, South India, this article offers an artificial neural network (ANN) model. The following landslide conditioning factors (LCF) were taken into account during the development, testing, validation, and training of the LSM: elevation, slope, aspect, curvature, stream power index (SPI), rainfall, normalized differential vegetation index (NDVI), lithology and land use and cover. Following creation, the LSM is tested using landslide and non-landslide sites and the ANN model that is suggested produces an accuracy of 86%.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems |
| Subtitle of host publication | Harmonizing Signals, Data, and Energy: Bridging the Digital Future, SPICES 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350376135 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2024 - Kottayam, India Duration: 20-09-2024 → 22-09-2024 |
Publication series
| Name | Proceedings - 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems: Harmonizing Signals, Data, and Energy: Bridging the Digital Future, SPICES 2024 |
|---|
Conference
| Conference | 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2024 |
|---|---|
| Country/Territory | India |
| City | Kottayam |
| Period | 20-09-24 → 22-09-24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Signal Processing
- Information Systems and Management
- Energy Engineering and Power Technology
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