Landslide Advisor: a Python Library for Landslide Prediction Around Power Transmission Lines
Published in International Geoscience and Remote Sensing Symposium, 2022
Abstract
Dynamic, up-to-date, spacialized and summarized information on the possibility of landslide occurrences is important for many areas of society. Landslide Advisor is a library of computational functions implemented in Python and GDAL. This library is capable of automatically classifying the risk of a landslide occurrence in near realtime, as well as in terms of prediction (future), and abstracting the information in a summarized manner for the end user. The Landslide Advisor was developed as a product of a research and innovation project in the Brazilian electricity sector, via the National Electric Energy Agency (ANEEL). This paper’s objective is to present the main characteristics of this library.
Bibtex
@inproceedings{Gerente2022,
doi = {10.1109/igarss46834.2022.9883997},
url = {https://doi.org/10.1109/igarss46834.2022.9883997},
year = {2022},
month = jul,
publisher = {IEEE},
author = {Jessica Gerente and Jo{\~{a}}o Gustavo Atkinson Amorim and Francisco Caruso Gomes and Lucas Antonio Providelo and Guilherme Marchiori},
title = {Landslide Advisor: a Python Library for Landslide Prediction Around Power Transmission Lines},
booktitle = {IGARSS 2022 - 2022 {IEEE} International Geoscience and Remote Sensing Symposium}
}