What question did this study set out to answer?

This study aims to develop a method to evaluate how climate change and land use changes affect landslide susceptibility.

Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial examines landslide susceptibility influenced by land use and climate change in Vietnam, suggesting strategies for risk mitigation.

This study aims to develop a method to evaluate how climate change and land use changes affect landslide susceptibility.
Developed machine learning models, including several radial basis function neural networks with various optimization techniques.
Utilized remote sensing data to assess changes in land cover and climate in the Tra Khuc river basin.
Evaluated model performance through AUC metrics, with values representing prediction accuracy.
RBFNN–QSA model outperformed others with an AUC of 0.98, indicating strong predictive ability.
Predicted increases in precipitation of 18% by 2030 and 25.1% by 2050.
The area highly susceptible to landslides is projected to decrease by approximately 400 km2 from 2010 to 2050.

Du et al. (2023) studied this question.

View Full Paper

Ask AI

Bookmark

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial examines landslide susceptibility influenced by land use and climate change in Vietnam, suggesting strategies for risk mitigation.

This study aims to develop a method to evaluate how climate change and land use changes affect landslide susceptibility.
Developed machine learning models, including several radial basis function neural networks with various optimization techniques.
Utilized remote sensing data to assess changes in land cover and climate in the Tra Khuc river basin.
Evaluated model performance through AUC metrics, with values representing prediction accuracy.
RBFNN–QSA model outperformed others with an AUC of 0.98, indicating strong predictive ability.
Predicted increases in precipitation of 18% by 2030 and 25.1% by 2050.
The area highly susceptible to landslides is projected to decrease by approximately 400 km2 from 2010 to 2050.

Du et al. (2023) studied this question.

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark