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ALSA is an open software for automatic landslide susceptibility analysis.
The version 5.0 is developed and should be run based on ArcGIS Pro. V5.0 is recommended if you have access to ArcGIS Pro. V5.3 was developed and tested using ArcGIS Pro 3.1.5. The latest vesions based on ArcMap is V4.0/V4b.0, which were developed and tested using ArcGIS 10.8. Please install the relevant version of ArcGIS before installing ALSA. The authors can accept reasonable technical consultation for V5.0.
It will be very kind of you to contact the authors if you find any bugs or errors.
Please be aware of the following RULES before using ALSA:
- ALSA is a research tool developed by the LAN research group, and is expected to be mainly used for academic purposes. The LAN research group does not assume any responsibility for any risk in using ALSA.
- ALSA is made publicly free by the LAN research group. The LAN research group is willing to give necessary technical supports when possible, but the LAN research group does not assume any obligation to give technical supports.
- It is suggested to cite or refer to relevant references of ALSA when publishing or releasing results obtained with the support of ALSA.
- Do not violate any relevant laws and regulations when applying ALSA.
- Please give feedbacks of applying ALSA by writing to [email protected], [email protected] or [email protected].
References:
[1] Lan, H.X.*, Zhou, C.H., Wang, L.J., Zhang, H.Y., Li, R.H., 2004. Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China. Engineering Geology, 76(1-2), 109–128.（ALSA, Certainty Factor）
[2] Li, L.P., Lan, H.X.*, Guo, C.B., Zhang, Y.S., Li, Q.W., Wu, Y.M., 2017. A Modified Frequency Ratio Method for Landslide Susceptibility Assessment. Landslides, 14(2), 727–741.（ALSA 1.0, Continuous Susceptibility）
[3] Zhang, Y.X., Lan, H.X.*, Li, L.P., Wu, Y.M., Chen, J.H., Tian, N.M., 2020. Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China. Journal of Mountain Science, 17(2), 340–357.（ALSA 2.0, Parameter Optimization）
[4] Li, L.P., Lan, H.X.*, 2023. Bivariate Landslide Susceptibility Analysis: Clarification, Optimization, Open Software, and Preliminary Comparison. Remote Sensing, 15(5), 1418.（ALSA 3.0, Bivariate Generalization）
[5] Li, L.P., Lan, H.X.*, 2024. Bivariate Analytical ‘decisiveness’ as a robust measure of the absolute importance of landslide predisposing factors. International Journal of Digital Earth, 17(1), 2356161.（ALSA 4.0/5.0, Absolute Importance）
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ALSA是一款免费共享的灾害易发性自动分析软件。
版本5.0在ArcGIS Pro上开发和运行。 如有ArcGIS Pro授权，建议使用版本5.0。 版本5.3在ArcGIS Pro 3.1.5上开发和测试。 基于ArcMap的最新版是V4.0/V4b.0，在ArcGIS 10.8上开发和测试。 在安装ALSA之前，请先预装对应版本的ArcGIS。 作者团队可适当接受有关版本5.0的技术咨询。
感谢您向作者报告任何BUG或错误。
请在使用ALSA时遵守以下规则：
- ALSA模型为本团队开发的研究性质工具，主要提供个人学习和研究使用，本团队对任何可能产生的风险不承担任何责任；
- 本团队免费共享ALSA模型，可提供一定的技术支持，但无提供技术支持的必须义务；
- 发表或发布ALSA模型支持的研究与分析成果时，建议引用ALSA模型相关主要参考文献；
- 使用ALSA模型时不可违反任何相关法律法规；
- ALSA模型应用情况请反馈至指定邮箱（[email protected], [email protected], [email protected]）。
主要参考文献：
[1] Lan, H.X.*, Zhou, C.H., Wang, L.J., Zhang, H.Y., Li, R.H., 2004. Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China. Engineering Geology, 76(1-2), 109–128.（ALSA理论基础）
[2] 兰恒星*, 伍法权, 周成虎, 王思敬, 2002. 基于GIS的云南小江流域滑坡因子敏感性分析. 岩石力学与工程学报, 21(10), 1500–1506.（ALSA理论支撑）
[3] Li, L.P., Lan, H.X.*, Guo, C.B., Zhang, Y.S., Li, Q.W., Wu, Y.M., 2017. A Modified Frequency Ratio Method for Landslide Susceptibility Assessment. Landslides, 14(2), 727–741.（ALSA 1.0/连续模型初版）
[4] 李郎平, 兰恒星*, 郭长宝, 张永双, 李全文, 伍宇明, 2017. 基于改进频率比法的川藏铁路沿线及邻区地质灾害易发性分区评价. 现代地质, 31(5), 911–929.（ALSA典型应用）
[5] Zhang, Y.X., Lan, H.X.*, Li, L.P., Wu, Y.M., Chen, J.H., Tian, N.M., 2020. Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China. Journal of Mountain Science, 17(2), 340–357.（ALSA 2.0/参数最优化版本）
[6] Li, L.P., Lan, H.X.*, 2023. Bivariate Landslide Susceptibility Analysis: Clarification, Optimization, Open Software, and Preliminary Comparison. Remote Sensing, 15(5), 1418.（ALSA 3.0/双变量方法通用版本）
[7] Li, L.P., Lan, H.X.*, 2024. Bivariate Analytical ‘decisiveness’ as a robust measure of the absolute importance of landslide predisposing factors. International Journal of Digital Earth, 17(1), 2356161.（ALSA 4.0/5.0/因子绝对重要性分析版本）