Environ. Model. Softw. Paper!

Our newest research paper, “𝑃𝑦𝐿𝑎𝑛𝑑𝑠𝑙𝑖𝑑𝑒: 𝐴 𝑃𝑦𝑡ℎ𝑜𝑛 𝑡𝑜𝑜𝑙 𝑓𝑜𝑟 𝑙𝑎𝑛𝑑𝑠𝑙𝑖𝑑𝑒 𝑠𝑢𝑠𝑐𝑒𝑝𝑡𝑖𝑏𝑖𝑙𝑖𝑡𝑦 𝑚𝑎𝑝𝑝𝑖𝑛𝑔 𝑎𝑛𝑑 𝑢𝑛𝑐𝑒𝑟𝑡𝑎𝑖𝑛𝑡𝑦 𝑎𝑛𝑎𝑙𝑦𝑠𝑖𝑠,” has been published open access in Environmental Modelling & Software!

Access the paper here: https://doi.org/10.1016/j.envsoft.2024.106055

In this study, we focused on rainfall-triggered landslides in 𝐈𝐭𝐚𝐥𝐲 to introduce 𝐏𝐲𝐋𝐚𝐧𝐝𝐬𝐥𝐢𝐝𝐞, an 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 Python for analyzing landslide susceptibility. By utilizing historical precipitation data and 𝐜𝐥𝐢𝐦𝐚𝐭𝐞 𝐜𝐡𝐚𝐧𝐠𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐢𝐨𝐧𝐬, we aimed to explore the spatial distribution of landslide susceptibility and its potential changes over time.

Access PyLandslide here: https://github.com/WRHGroup/PyLandslide

Explore the paper to learn more about our methodology and findings, and check out PyLandslide on GitHub to leverage the tool for landslide susceptibility analysis.