{"title":"基于遥感和地理信息系统的滑坡易感性地理空间分布建模","authors":"Kasye Shitu , Aqil Tariq","doi":"10.1016/j.jafrearsci.2025.105732","DOIUrl":null,"url":null,"abstract":"<div><div>Landslides are an abrupt and highly harmful natural disaster in Ethiopia. So, this research focused on the geospatial distribution modeling of landslide susceptibility areas in the Eastern Part of the Amhara Region. The study considered fifteen landslide aggravating factors: slope, elevation, aspect, curvature, TWI, SPI, river distance, town distance, road distance, rainfall, lineament density, drainage density, lithology, soil, and land use land cover for Landslide Numerical Risk Factor (LNRF) and Analytic hierarchy process (AHP) model generation. From the LNFR and AHP model results, around 11.74 % and 13.94 % of the area under investigation was found under very high 8.79 % and 12.18 % under very low landslide severity levels, respectively. The Receiver Operating Characteristics (ROC) curve was implemented to measure the performance of the two models, and obtained good predictive values of 70.23 % and 64.47 % accuracy, respectively. Valued information for planners, policymakers, and engineers can be obtained from LNRF and AHP about landslide events for any project planning and development in the study area.</div></div>","PeriodicalId":14874,"journal":{"name":"Journal of African Earth Sciences","volume":"230 ","pages":"Article 105732"},"PeriodicalIF":2.2000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geospatial distribution of landslide susceptibility modeling based on Remote Sensing and Geographic Information System\",\"authors\":\"Kasye Shitu , Aqil Tariq\",\"doi\":\"10.1016/j.jafrearsci.2025.105732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Landslides are an abrupt and highly harmful natural disaster in Ethiopia. So, this research focused on the geospatial distribution modeling of landslide susceptibility areas in the Eastern Part of the Amhara Region. The study considered fifteen landslide aggravating factors: slope, elevation, aspect, curvature, TWI, SPI, river distance, town distance, road distance, rainfall, lineament density, drainage density, lithology, soil, and land use land cover for Landslide Numerical Risk Factor (LNRF) and Analytic hierarchy process (AHP) model generation. From the LNFR and AHP model results, around 11.74 % and 13.94 % of the area under investigation was found under very high 8.79 % and 12.18 % under very low landslide severity levels, respectively. The Receiver Operating Characteristics (ROC) curve was implemented to measure the performance of the two models, and obtained good predictive values of 70.23 % and 64.47 % accuracy, respectively. Valued information for planners, policymakers, and engineers can be obtained from LNRF and AHP about landslide events for any project planning and development in the study area.</div></div>\",\"PeriodicalId\":14874,\"journal\":{\"name\":\"Journal of African Earth Sciences\",\"volume\":\"230 \",\"pages\":\"Article 105732\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of African Earth Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1464343X25001992\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of African Earth Sciences","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1464343X25001992","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Geospatial distribution of landslide susceptibility modeling based on Remote Sensing and Geographic Information System
Landslides are an abrupt and highly harmful natural disaster in Ethiopia. So, this research focused on the geospatial distribution modeling of landslide susceptibility areas in the Eastern Part of the Amhara Region. The study considered fifteen landslide aggravating factors: slope, elevation, aspect, curvature, TWI, SPI, river distance, town distance, road distance, rainfall, lineament density, drainage density, lithology, soil, and land use land cover for Landslide Numerical Risk Factor (LNRF) and Analytic hierarchy process (AHP) model generation. From the LNFR and AHP model results, around 11.74 % and 13.94 % of the area under investigation was found under very high 8.79 % and 12.18 % under very low landslide severity levels, respectively. The Receiver Operating Characteristics (ROC) curve was implemented to measure the performance of the two models, and obtained good predictive values of 70.23 % and 64.47 % accuracy, respectively. Valued information for planners, policymakers, and engineers can be obtained from LNRF and AHP about landslide events for any project planning and development in the study area.
期刊介绍:
The Journal of African Earth Sciences sees itself as the prime geological journal for all aspects of the Earth Sciences about the African plate. Papers dealing with peripheral areas are welcome if they demonstrate a tight link with Africa.
The Journal publishes high quality, peer-reviewed scientific papers. It is devoted primarily to research papers but short communications relating to new developments of broad interest, reviews and book reviews will also be considered. Papers must have international appeal and should present work of more regional than local significance and dealing with well identified and justified scientific questions. Specialised technical papers, analytical or exploration reports must be avoided. Papers on applied geology should preferably be linked to such core disciplines and must be addressed to a more general geoscientific audience.