| [16] | WANG K,ZHANG S,DELGADOTELLEZ R,et al. A new slope unit extraction method for regional landslide analysis based on morphological image analysis[J]. Bulletin of Engineering Geology and the Environment,2019,78(6):4 139-4 151. | 
 
																															
																	| [1] | BROQUET M,CABRAL P,CAMPOS F S. What ecological factors to integrate in landslide susceptibility mapping?—An exploratory review of current trends in support of eco-DRR[J]. Progress in Disaster Science,2024,22:100328. | 
 
																															
																	| [20] | YANG Z,WEI J,DENG J,et al. An improved method for the evaluation and local multi-scale optimization of the automatic extraction of slope units in complex terrains:remote sensing[J]. Remote Sensing,2022,14(14):3 444. | 
 
																															
																	| [17] | HUANG F,CHEN L,YIN K,et al. Object-oriented change detection and damage assessment using high-resolution remote sensing images,Tangjiao Landslide,Three Gorges Reservoir,China[J]. Environmental Earth Sciences,2018,77(5):181-183. | 
 
																															
																	| [2] | HUANG F,XIONG H,JIANG S,et al. Modelling landslide susceptibility prediction:A review and construction of semi-supervised imbalanced theory[J]. Earth-Science Reviews,2024,250:104700. | 
 
																															
																	| [18] | LIN S,WANG X,NAN C. Slope unit-based genetic landform mapping on Tibetan plateau- a terrain unit-based framework for large spatial scale landform classification[J]. CATENA,2024,236:107757. | 
 
																															
																	| [3] | CAMILO D C,LOMBARDO L,MAI P M,et al. Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model[J]. Environmental Modelling and Software,2017,97:145-156. | 
 
																															
																	| [19] | BA Q Q,CHEN Y M,DENG S S,et al. A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment[J]. Earth Science Informatics,2018,11:373-388. | 
 
																															
																	| [4] | REICHENBACH P,ROSSI M,MALAMUD B D,et al. A review of statistically-based landslide susceptibility models[J]. Earth-Science Reviews,2018,180:60-91. | 
 
																															
																	| [21] | GUO Z,TIAN B,ZHU Y,et al. How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China[J]. Journal of Rock Mechanics and Geotechnical Engineering,2024,16(3):877-894. | 
 
																															
																	| [20] | YANG Z,WEI J,DENG J,et al. An improved method for the evaluation and local multi-scale optimization of the automatic extraction of slope units in complex terrains:remote sensing[J]. Remote Sensing,2022,14(14):3 444. | 
 
																															
																	| [5] | YUVARAJ R M,DOLUI B. Geographical assessment of landslide susceptibility using statistical approach[J]. Quaternary Science Advances,2023,11:100097. | 
 
																															
																	| [22] | LIMA P,STEGER S,GLADE T,et al. Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design[J]. Geomorphology,2023,430:108638. | 
 
																															
																	| [21] | GUO Z,TIAN B,ZHU Y,et al. How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China[J]. Journal of Rock Mechanics and Geotechnical Engineering,2024,16(3):877-894.   | 
 
																															
																	| [6] | LIAO M,WEN H,YANG L. Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning:A case of Wushan and Wuxi counties,China[J]. Catena,2022,217:106428. | 
 
																															
																	| [23] | LEE J,SAMEEN M I,PRADHAN B,et al. Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods[J]. Geomorphology,2018,303:284-298. | 
 
																															
																	| [22] | LIMA P,STEGER S,GLADE T,et al. Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design[J]. Geomorphology,2023,430:108638. | 
 
																															
																	| [7] | ARNONE E,FRANCIPANE A,SCARBACI A,et al. Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping[J]. Environmental Modelling and Software,2016,84:467-481. | 
 
																															
																	| [24] | 戴福初,邓建辉. 青藏高原东南三江流域滑坡灾害发育特征[J]. 四川大学学报:工程科学版,2020,52(5):1-15.(DAI Fuchu,DENG Jianhui. Characteristics of landslide development in the three rivers basin of the Southeastern Qinghai—Tibet plateau[J]. Journal of Sichuan University:Engineering Science Edition,2020,52(5):1-15.in Chinese)) | 
 
																															
																	| [23] | LEE J,SAMEEN M I,PRADHAN B,et al. Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods[J]. Geomorphology,2018,303:284-298. | 
 
																															
																	| [8] | PALAMAKUMBURE D,FLENTJE P,STIRLING D. Consideration of optimal pixel resolution in deriving landslide susceptibility zoning within the Sydney Basin,New South Wales,Australia[J]. Computers and Geosciences,2015,82:13-22. | 
 
																															
																	| [25] | ZHAO S,DAI F,DENG J,et al. Insights into landslide development and susceptibility in extremely complex alpine geoenvironments along the western Sichuan-Tibet Engineering Corridor,China[J]. Catena,2023,227:107105. | 
 
																															
																	| [24] | 戴福初,邓建辉. 青藏高原东南三江流域滑坡灾害发育特征[J]. 四川大学学报:工程科学版,2020,52(5):1-15.(DAI Fuchu,DENG Jianhui. Characteristics of landslide development in the three rivers basin of the Southeastern Qinghai—Tibet plateau[J]. Journal of Sichuan University:Engineering Science Edition,2020,52(5):1-15.in Chinese)) | 
 
																															
																	| [9] | AGBOOLA G,BENI L H,ELBAYOUMI T,et al. Optimizing landslide susceptibility mapping using machine learning and geospatial techniques[J]. Ecological Informatics,2024,81:102583. | 
 
																															
																	| [26] | QIN Y,ZHANG D,ZHENG W,et al. Spatial distribution of near-fault landslides along Litang fault zones,eastern Tibetan Plateau[J]. Geomorphology,2024,455:109189. | 
 
																															
																	| [25] | ZHAO S,DAI F,DENG J,et al. Insights into landslide development and susceptibility in extremely complex alpine geoenvironments along the western Sichuan-Tibet Engineering Corridor,China[J]. Catena,2023,227:107105. | 
 
																															
																	| [10] | GUO Z,TIAN B,ZHU Y,et al. How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China[J]. Journal of Rock Mechanics and Geotechnical Engineering,2024,16(3):877-894.   | 
 
																															
																	| [27] | SUN X,CHEN J,HAN X,et al. Landslide susceptibility mapping along the upper Jinsha River,South-Western China:a comparison of hydrological and curvature watershed methods for slope unit classification[J]. Bulletin of Engineering Geology and the Environment,2020,79(11):4 657-4 670. | 
 
																															
																	| [26] | QIN Y,ZHANG D,ZHENG W,et al. Spatial distribution of near-fault landslides along Litang fault zones,eastern Tibetan Plateau[J]. Geomorphology,2024,455:109189. | 
 
																															
																	| [11] | DOU J,YUNUS A P,MERGHADI A,et al. Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning[J]. Science of The Total Environment,2020,720:137320. | 
 
																															
																	| [28] | HONG H,WANG D,ZHU A,et al. Landslide susceptibility mapping based on the reliability of landslide and non-landslide sample[J]. Expert Systems with Applications,2024,243:122933. | 
 
																															
																	| [27] | SUN X,CHEN J,HAN X,et al. Landslide susceptibility mapping along the upper Jinsha River,South-Western China:a comparison of hydrological and curvature watershed methods for slope unit classification[J]. Bulletin of Engineering Geology and the Environment,2020,79(11):4 657-4 670. | 
 
																															
																	| [12] | ALVIOLI M,GUZZETTI F,MARCHESINI I. Parameter-free delineation of slope units and terrain subdivision of Italy[J]. Geomorphology,2020,358:107124. | 
 
																															
																	| [29] | CHANG Z,HUANG J,HUANG F,et al. Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models[J]. Gondwana Research,2023,117:307-320. | 
 
																															
																	| [28] | HONG H,WANG D,ZHU A,et al. Landslide susceptibility mapping based on the reliability of landslide and non-landslide sample[J]. Expert Systems with Applications,2024,243:122933. | 
 
																															
																	| [13] | XIE M,ESAKI T,ZHOU G. GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model[J]. Natural Hazards,2004,33(2):265-282.   | 
 
																															
																	| [30] | HUANG F,MAO D,JIANG S,et al. Uncertainties in landslide susceptibility prediction modeling:A review on the incompleteness of landslide inventory and its influence rules[J]. Geoscience Frontiers,2024,15(6):101886.   | 
 
																															
																	| [29] | CHANG Z,HUANG J,HUANG F,et al. Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models[J]. Gondwana Research,2023,117:307-320. | 
 
																															
																	| [14] | 颜 阁,梁收运,赵红亮. 基于GIS的斜坡单元划分方法改进与实现[J]. 地理科学,2017,37(11):7.(YAN Ge,LIANG Shouyun,ZHAO Hongliang. Improvement and implementation of slope unit division method based on GIS[J]. Geographical Science,2017,37(11):7.(in Chinese)) | 
 
																															
																	| [30] | HUANG F,MAO D,JIANG S,et al. Uncertainties in landslide susceptibility prediction modeling:A review on the incompleteness of landslide inventory and its influence rules[J]. Geoscience Frontiers,2024,15(6):101886.   | 
 
																															
																	| [15] | ALVIOLI M,MARCHESINI M,REICHENBACH P,et al. Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling[J]. Geoscientific Model Development Discussions,2016,9(11):3 975. | 
 
																															
																	| [16] | WANG K,ZHANG S,DELGADOTELLEZ R,et al. A new slope unit extraction method for regional landslide analysis based on morphological image analysis[J]. Bulletin of Engineering Geology and the Environment,2019,78(6):4 139-4 151. | 
 
																															
																	| [17] | HUANG F,CHEN L,YIN K,et al. Object-oriented change detection and damage assessment using high-resolution remote sensing images,Tangjiao Landslide,Three Gorges Reservoir,China[J]. Environmental Earth Sciences,2018,77(5):181-183.   | 
 
																															
																	| [18] | LIN S,WANG X,NAN C. Slope unit-based genetic landform mapping on Tibetan plateau- a terrain unit-based framework for large spatial scale landform classification[J]. CATENA,2024,236:107757. | 
 
																															
																	| [19] | BA Q Q,CHEN Y M,DENG S S,et al. A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment[J]. Earth Science Informatics,2018,11:373-388. | 
 
																															
																	| [20] | YANG Z,WEI J,DENG J,et al. An improved method for the evaluation and local multi-scale optimization of the automatic extraction of slope units in complex terrains:remote sensing[J]. Remote Sensing,2022,14(14):3 444. | 
 
																															
																	| [21] | GUO Z,TIAN B,ZHU Y,et al. How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China[J]. Journal of Rock Mechanics and Geotechnical Engineering,2024,16(3):877-894.   | 
 
																															
																	| [22] | LIMA P,STEGER S,GLADE T,et al. Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design[J]. Geomorphology,2023,430:108638. | 
 
																															
																	| [23] | LEE J,SAMEEN M I,PRADHAN B,et al. Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods[J]. Geomorphology,2018,303:284-298. | 
 
																															
																	| [24] | 戴福初,邓建辉. 青藏高原东南三江流域滑坡灾害发育特征[J]. 四川大学学报:工程科学版,2020,52(5):1-15.(DAI Fuchu,DENG Jianhui. Characteristics of landslide development in the three rivers basin of the Southeastern Qinghai—Tibet plateau[J]. Journal of Sichuan University:Engineering Science Edition,2020,52(5):1-15.in Chinese)) | 
 
																															
																	| [25] | ZHAO S,DAI F,DENG J,et al. Insights into landslide development and susceptibility in extremely complex alpine geoenvironments along the western Sichuan-Tibet Engineering Corridor,China[J]. Catena,2023,227:107105. | 
 
																															
																	| [26] | QIN Y,ZHANG D,ZHENG W,et al. Spatial distribution of near-fault landslides along Litang fault zones,eastern Tibetan Plateau[J]. Geomorphology,2024,455:109189. | 
 
																															
																	| [27] | SUN X,CHEN J,HAN X,et al. Landslide susceptibility mapping along the upper Jinsha River,South-Western China:a comparison of hydrological and curvature watershed methods for slope unit classification[J]. Bulletin of Engineering Geology and the Environment,2020,79(11):4 657-4 670. | 
 
																															
																	| [28] | HONG H,WANG D,ZHU A,et al. Landslide susceptibility mapping based on the reliability of landslide and non-landslide sample[J]. Expert Systems with Applications,2024,243:122933. | 
 
																															
																	| [29] | CHANG Z,HUANG J,HUANG F,et al. Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models[J]. Gondwana Research,2023,117:307-320. | 
 
																															
																	| [30] | HUANG F,MAO D,JIANG S,et al. Uncertainties in landslide susceptibility prediction modeling:A review on the incompleteness of landslide inventory and its influence rules[J]. Geoscience Frontiers,2024,15(6):101886.   |