[7] |
TANG Y M,FENG F,GUO Z Z,et al. Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping:A comparative study from the loess plateau area in Shanxi(China)[J]. Journal of Cleaner Production,2020,277:124159.
|
[9] |
SUN D,XU J,WEN H,et al. Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization:A comparison between logistic regression and random forest[J]. Engineering Geology,2020,281:105972.
|
[10] |
NACHAPPA T G,KIENBERGER S,MEENA S R,et al. Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping[J]. Geomatics,Natural Hazards and Risk,2020,11(1):572-600.
|
[12] |
SHOU K J,LIN J F. Evaluation of the extreme rainfall predictions and their impact on landslide susceptibility in a sub-catchment scale[J]. Engineering Geology,2020,265:105434.
|
[14] |
SIFA S F,MAHMUD T,TARIN M A,et al. Event-based landslide susceptibility mapping using weights of evidence(WOE) and modified frequency ratio(MFR) model:a case study of Rangamati district in Bangladesh[J]. Geology,Ecology and Landscapes,2020,4(3):222-235.
|
[16] |
陈 涛,钟子颖,牛瑞卿,等. 利用深度信念网络进行滑坡易发性评价[J]. 武汉大学学报:信息科学版,2020,45(11):1 809-1 817.(CHEN Tao,ZHONG Ziying,NIU Ruiqing,et al.Landslide susceptibility assessment using deep belief Network [J]. Geomatics and Information Science of Wuhan University,2020,45(11):1 809-1 817.(in Chinese))
|
[19] |
MOOSAVI V,TALEBI A,SHIRMOHAMMADI B. Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method[J]. Geomorphology,2014,204(1):646-656.
|
[21] |
PANDEY V K,TRIPATHI A K,SHARMA K K. Implications of landslide inventory in susceptibility modeling along a Himalayan highway corridor,India[J]. Phys Geogr,2021,DOI:10.1080/ 02723646.2021.1872857.
|
[5] |
SAHA A,SAHA S. Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan,India:RS-GIS approach[J]. Environment, Development and Sustainability,2021,23(3):4 453-4 483.
|
[23] |
CHANG Z L,DU Z,ZHANG F,et al. Landslide susceptibility prediction based on remote sensing images and gis:comparisons of supervised and unsupervised machine learning models[J]. Remote Sensing,2020,12(3):502.
|
[26] |
HUANG F M,CAO Z S,GUO J F,et al. Comparisons of heuristic,general statistical and machine learning models for landslide susceptibility prediction and mapping[J]. Catena,2020,191:104580.
|
[28] |
张玘恺,凌斯祥,李晓宁,等. 九寨沟县滑坡灾害易发性快速评估模型对比研究[J]. 岩石力学与工程学报,2020,39(8):1 595-1 610. ZHANG Qikai,LING Sixiang,LI Xiaoning,et al. Comparative study on rapid assessment model of landslide disaster susceptibility in Jiuzhaigou County[J]. Chinese Journal of Rock Mechanics and Engineering,2020,39(8):1 595-1 610.(in Chinese))
|
[30] |
黄发明,叶 舟,姚 池,等. 滑坡易发性预测不确定性:环境因子不同属性区间划分和不同数据驱动模型的影响[J]. 地球科学,2020,45(12):4 535-4 549.(HUANG Faming,YE Zhou,YAO Chi,et al. Prediction uncertainty of landslide susceptibility:Effects of different attribute ranges of environmental factors and different data-driven models[J]. Earth Science,2020,45(12):4 535-4 549.(in Chinese))
|
[33] |
LIN S Y,LIN C W,GASSELT S V. Processing framework for landslide detection based on synthetic aperture radar(SAR) intensity-image analysis[J]. Remote Sens-Basel,2021,13(4):644.
|
[2] |
黄 赠,王 锐,赵 宇,等. 隐伏断层地震诱发滑坡易发性评价[J]. 浙江大学学报:工学版,2017,51(11):2 136-2 143.(HUANG Zeng,WANG Rui,ZHAO Yu,et al. Evaluation of seismic induced landslide susceptibility of concealed fault[J]. Journal of Zhejiang University Engineering Edition,2017,51(11):2 136-2 143.(in Chinese))
|
[3] |
COSTACHE R,HONG H,PHAM Q B. Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models[J]. Sci Total Environ,2020,711:134514.
|
[6] |
DU H,SONG D Q,CHEN Z,et al. Prediction model oriented for landslide displacement with step-like curve by applying ensemble empirical mode decomposition and the PSO-ELM method[J]. Journal of Cleaner Production,2020,270:122248.
|
[34] |
LV Z,LIU T,CHENG S,et al. Landslide inventory mapping with bitemporal aerial remote sensing images based on the dual-path fully convolutional network[J]. Ieee J-Stars,2020,13:4 575-4 584.
|
[35] |
PAWLUSZEK K. Landslide features identification and morphology investigation using high-resolution DEM derivatives[J]. Nat Hazards,2018,96(1):311-330.
|
[4] |
陈 飞,蔡 超,李小双,等. 基于信息量与神经网络模型的滑坡易发性评价[J]. 岩石力学与工程学报,2020,39(增1):2 859-2 870.(CHEN Fei,CAI Chao,LI Xiaoshuang,et al. Landslide susceptibility evaluation based on information and neural network model[J]. Chinese Journal of Rock Mechanics and Engineering,2020,39(Supp.1): 2 859-2 870.(in Chinese))
|
[11] |
GHORBANZADEH O,BLASCHKE T,GHOLAMNIA K,et al. Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection[J]. Remote Sensing,2019,11(2):196.
|
[18] |
HUANG F M,YE Z,JIANG S H,et al. Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models[J]. Catena,2021,202:105250.
|
[25] |
LOMBARDO L,TANYAS H. Chrono-validation of near-real-time landslide susceptibility models via plug-in statistical simulations[J]. Engineering Geology,2020,278:105818.
|
[32] |
PHAM B T,PRAKASH I,SINGH S K,et al. Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques:Hybrid machine learning approaches[J]. Catena,2019,175:203-218.
|
[17] |
DU J,GLADE T,WOLDAI T,et al. Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley,Tibet,Chinese Himalayas[J]. Engineering Geology,2020,270:105572.
|
[24] |
YU HUANG,LU ZHAO. Review on landslide susceptibility mapping using support vector machines[J]. Catena,2018,165:520-529.
|
[31] |
黄发明,殷坤龙,蒋水华,等. 基于聚类分析和支持向量机的滑坡易发性评价[J]. 岩石力学与工程学报,2018,37(1):156-167.(HUANG Faming,YIN Kunlong,JIANG Shuihua,et al. Landslide susceptibility evaluation based on cluster analysis and support vector machine[J]. Chinese Journal of Rock Mechanics and Engineering,2018,37(1):156-167.(in Chinese))
|
[1] |
许 强. 对地质灾害隐患早期识别相关问题的认识与思考[J]. 武汉大学学报:信息科学版,2020,45(11):1 651-1 659.(XU Qiang,Understanding and thinking about the problems related to early identification of geological hazards[J].Geomatics and Information Science of Wuhan University,2020,45(11):1 651-1 659.(in Chinese))
|
[8] |
MISBAHUDIN M. Landslide susceptibility analysis in Kabandungan District and Salak Geothermal Field,West Java[J]. Jurnal Geografi Lingkungan Tropik,2020,4(2):68-79.
|
[15] |
武雪玲,沈少青,牛瑞卿. GIS支持下应用PSO-SVM模型预测滑坡易发性[J]. 武汉大学学报:信息科学版,2016,41(5):665-671.(WU Xueling,SHEN Shaoqing,NIU Ruiqing. Pso-svm model was used to predict landslide susceptibility with GIS support [J]. Geomatics and Information Science of Wuhan University,2016,41(5):665-671.(in Chinese))
|
[13] |
郭子正,殷坤龙,黄发明,等. 基于滑坡分类和加权频率比模型的滑坡易发性评价[J]. 岩石力学与工程学报,2019,38(2):287-300.(GUO Zizheng,YIN Kunlong,HUANG Faming,et al. Evaluation of landslide susceptibility based on landslide classification and weighted frequency ratio model[J]. Chinese Journal of Rock Mechanics and Engineering,2019,38(2):287-300.(in Chinese))
|
[20] |
吴树仁,石菊松,王 涛,等. 滑坡风险评估理论与技术[M]. 北京:科学出版社,2012:10-15.(WU Shuren,SHI Jusong,WANG Tao,et al. Theory and technology of landslide risk assessment[M]. Beijing:Science Press,2012:10-15.(in Chinese))
|
[27] |
HU X,MEI H,ZHANG H,et al. Performance evaluation of ensemble learning techniques for landslide susceptibility mapping at the Jinping county,Southwest China[J]. Natural Hazards,2020,105(2):1 663-1 689.
|
[22] |
石菊松. 基于遥感和地理信息系统的滑坡风险评估关键技术研究[博士学位论文][D]. 北京:中国地质科学院,2008.(SHI Jusong. Research on key technologies of landslide risk assessment based on remote sensing and geographic information system[Ph. D Thesis][D]. Beijing:Chinese Academy of Geological Sciences,2008.(in Chinese))
|
[29] |
李麟玮,吴益平,苗发盛. 基于灰狼支持向量机的非等时距滑坡位移预测[J]. 浙江大学学报:工学版,2018,52(10):1 998-2 006.(LI Linwei,WU Yiping,MIAO Fasheng. Non-isochronous landslide displacement prediction based on grey wolf support vector machine[J]. Journal of Zhejiang University Engineering Edition,2018,52(10): 1 998-2 006.(in Chinese))
|
[36] |
GERZSENYI D,ALBERT G. Landslide inventory validation and susceptibility mapping in the Gerecse Hills,Hungary[J]. Geo-spatial Information Science,2021,(1):1-11.
|