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Investigating the Effects of Mining on Ecosystem Services in Panzhihua City: A Multi-Scenario Analysis.
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- Land (2012), 2024, v. 13, n. 6, p. 819, doi. 10.3390/land13060819
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Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area.
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- Natural Hazards & Earth System Sciences, 2017, v. 17, n. 6, p. 833, doi. 10.5194/nhess-17-833-2017
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The catastrophic landfill flowslide at Hongao dumpsite on 20 December 2015 in Shenzhen, China.
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- Natural Hazards & Earth System Sciences, 2017, v. 17, n. 2, p. 277, doi. 10.5194/nhess-17-277-2017
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Socio-Ecological Vulnerability in Aba Prefecture, Western Sichuan Plateau: Evaluation, Driving Forces and Scenario Simulation.
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- ISPRS International Journal of Geo-Information, 2022, v. 11, n. 10, p. 524, doi. 10.3390/ijgi11100524
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Comprehensive investigation of a dangerous counter-tilt landslide in the upper reaches of Jinsha River, China.
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- Landslides, 2024, v. 21, n. 9, p. 2155, doi. 10.1007/s10346-024-02281-1
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Preliminary analysis of the catastrophic February 22nd 2023 Xinjing open-pit mine landslide, Inner Mongolia, China.
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- Landslides, 2024, v. 21, n. 5, p. 1053, doi. 10.1007/s10346-024-02229-5
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Sematic segmentation of loess landslides with STAPLE mask and fully connected conditional random field.
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- Landslides, 2023, v. 20, n. 2, p. 367, doi. 10.1007/s10346-022-01983-8
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Precursors to large rockslides visible on optical remote-sensing images and their implications for landslide early detection.
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- Landslides, 2023, v. 20, n. 1, p. 1, doi. 10.1007/s10346-022-01960-1
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Detection and segmentation of loess landslides via satellite images: a two-phase framework.
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- Landslides, 2022, v. 19, n. 3, p. 673, doi. 10.1007/s10346-021-01789-0
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More frequent glacier-rock avalanches in Sedongpu gully are blocking the Yarlung Zangbo River in eastern Tibet.
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- Landslides, 2022, v. 19, n. 3, p. 589, doi. 10.1007/s10346-021-01798-z
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Emergency response to the reactivated Aniangzhai landslide resulting from a rainstorm-triggered debris flow, Sichuan Province, China.
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- Landslides, 2021, v. 18, n. 3, p. 1115, doi. 10.1007/s10346-020-01612-2
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A prediction model for rock planar slides with large displacement triggered by heavy rainfall in the Red bed area, Southwest, China.
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- Landslides, 2021, v. 18, n. 2, p. 773, doi. 10.1007/s10346-020-01528-x
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Time-series analysis of the evolution of large-scale loess landslides using InSAR and UAV photogrammetry techniques: a case study in Hongheyan, Gansu Province, Northwest China.
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- Landslides, 2021, v. 18, n. 1, p. 251, doi. 10.1007/s10346-020-01490-8
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Deformation characteristics and failure mechanism of a reactivated landslide in Leidashi, Sichuan, China, on August 6, 2019: an emergency investigation report.
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- Landslides, 2020, v. 17, n. 6, p. 1405, doi. 10.1007/s10346-020-01367-w
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Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks.
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- Landslides, 2020, v. 17, n. 6, p. 1337, doi. 10.1007/s10346-020-01353-2
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Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry.
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- Landslides, 2019, v. 16, n. 6, p. 1189, doi. 10.1007/s10346-019-01152-4
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Successive landsliding and damming of the Jinsha River in eastern Tibet, China: prime investigation, early warning, and emergency response.
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- Landslides, 2019, v. 16, n. 5, p. 1003, doi. 10.1007/s10346-019-01159-x
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Landslides triggered by the Ms 6.9 Nyingchi earthquake, China (18 November 2017): analysis of the spatial distribution and occurrence factors.
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- Landslides, 2019, v. 16, n. 4, p. 765, doi. 10.1007/s10346-019-01146-2
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Early identification and dynamic processes of ridge-top rockslides: implications from the Su Village landslide in Suichang County, Zhejiang Province, China.
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- Landslides, 2019, v. 16, n. 4, p. 799, doi. 10.1007/s10346-018-01128-w
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Failure mechanisms and characteristics of the 2016 catastrophic rockslide at Su village, Lishui, China.
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- Landslides, 2018, v. 15, n. 7, p. 1391, doi. 10.1007/s10346-018-0985-1
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Secondary seismic fractures activated during the Wenchuan earthquake.
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- Bulletin of Engineering Geology & the Environment, 2009, v. 68, n. 4, p. 443, doi. 10.1007/s10064-009-0219-9
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Optimization Strategy of a Stacked Autoencoder and Deep Belief Network in a Hyperspectral Remote-Sensing Image Classification Model.
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- Discrete Dynamics in Nature & Society, 2023, p. 1, doi. 10.1155/2023/9150482
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Quantifying the Impact and Importance of Natural, Economic, and Mining Activities on Environmental Quality Using the PIE-Engine Cloud Platform: A Case Study of Seven Typical Mining Cities in China.
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- Sustainability (2071-1050), 2024, v. 16, n. 4, p. 1447, doi. 10.3390/su16041447
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Area Changes and Influencing Factors of Large Inland Lakes in Recent 20 Years: A Case Study of Sichuan Province, China.
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- Water (20734441), 2022, v. 14, n. 18, p. 2816, doi. 10.3390/w14182816
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Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China.
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- Landslides, 2017, v. 14, n. 6, p. 2129, doi. 10.1007/s10346-017-0907-7
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Dynamic analysis and numerical modeling of the 2015 catastrophic landslide of the construction waste landfill at Guangming, Shenzhen, China.
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- Landslides, 2017, v. 14, n. 2, p. 705, doi. 10.1007/s10346-016-0764-9
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Investigation and dynamic analysis of a catastrophic rock avalanche on September 23, 1991, Zhaotong, China.
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- Landslides, 2016, v. 13, n. 5, p. 1035, doi. 10.1007/s10346-015-0617-y
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Identification and Deformation Characteristics of Active Landslides at Large Hydropower Stations at the Early Impoundment Stage: A Case Study of the Lianghekou Reservoir Area in Sichuan Province, Southwest China.
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- Remote Sensing, 2024, v. 16, n. 17, p. 3175, doi. 10.3390/rs16173175
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Refined Intelligent Landslide Identification Based on Multi-Source Information Fusion.
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- Remote Sensing, 2024, v. 16, n. 17, p. 3119, doi. 10.3390/rs16173119
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Integrated Remote Sensing Investigation of Suspected Landslides: A Case Study of the Genie Slope on the Tibetan Plateau, China.
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- Remote Sensing, 2024, v. 16, n. 13, p. 2412, doi. 10.3390/rs16132412
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A Strategy for Neighboring Pixel Collaboration in Landslide Susceptibility Prediction.
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- Remote Sensing, 2024, v. 16, n. 12, p. 2206, doi. 10.3390/rs16122206
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The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning.
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- Remote Sensing, 2024, v. 16, n. 2, p. 347, doi. 10.3390/rs16020347
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Analysis of the Spatial Distribution and Deformation Types of Active Landslides in the Upper Jinsha River, China, Using Integrated Remote Sensing Technologies.
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- Remote Sensing, 2024, v. 16, n. 1, p. 100, doi. 10.3390/rs16010100
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Landslide Hazard Assessment Combined with InSAR Deformation: A Case Study in the Zagunao River Basin, Sichuan Province, Southwestern China.
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- Remote Sensing, 2024, v. 16, n. 1, p. 99, doi. 10.3390/rs16010099
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Dual Path Attention Network (DPANet) for Intelligent Identification of Wenchuan Landslides.
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- Remote Sensing, 2023, v. 15, n. 21, p. 5213, doi. 10.3390/rs15215213
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Rapid Landslide Extraction from High-Resolution Remote Sensing Images Using SHAP-OPT-XGBoost.
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- Remote Sensing, 2023, v. 15, n. 15, p. 3901, doi. 10.3390/rs15153901
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Analysis of Seismic Impact on Hailuogou Glacier after the 2022 Luding Ms 6.8 Earthquake, China, Using SAR Offset Tracking Technology.
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- Remote Sensing, 2023, v. 15, n. 5, p. 1468, doi. 10.3390/rs15051468
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Landslide Hazard Assessment Method Considering the Deformation Factor: A Case Study of Zhouqu, Gansu Province, Northwest China.
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- Remote Sensing, 2023, v. 15, n. 3, p. 596, doi. 10.3390/rs15030596
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- Article
Effects of the Gully Land Consolidation Project on Geohazards on a Typical Watershed on the Loess Plateau of China.
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- Remote Sensing, 2023, v. 15, n. 1, p. 113, doi. 10.3390/rs15010113
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Effects of Mining on Urban Environmental Change: A Case Study of Panzhihua.
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- Remote Sensing, 2022, v. 14, n. 23, p. 6004, doi. 10.3390/rs14236004
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Evaluating Trade-Off and Synergies of Ecosystem Services Values of a Representative Resources-Based Urban Ecosystem: A Coupled Modeling Framework Applied to Panzhihua City, China.
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- Remote Sensing, 2022, v. 14, n. 20, p. 5282, doi. 10.3390/rs14205282
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Integration of Sentinel-1A, ALOS-2 and GF-1 Datasets for Identifying Landslides in the Three Parallel Rivers Region, China.
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- Remote Sensing, 2022, v. 14, n. 19, p. 5031, doi. 10.3390/rs14195031
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A Universal Landslide Detection Method in Optical Remote Sensing Images Based on Improved YOLOX.
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- Remote Sensing, 2022, v. 14, n. 19, p. 4939, doi. 10.3390/rs14194939
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Characterization of Long-Time Series Variation of Glacial Lakes in Southwestern Tibet: A Case Study in the Nyalam County.
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- Remote Sensing, 2022, v. 14, n. 19, p. 4688, doi. 10.3390/rs14194688
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Insights into the Landslides Triggered by the 2022 Lushan Ms 6.1 Earthquake: Spatial Distribution and Controls.
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- Remote Sensing, 2022, v. 14, n. 17, p. 4365, doi. 10.3390/rs14174365
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Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas.
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- Remote Sensing, 2022, v. 14, n. 17, p. 4245, doi. 10.3390/rs14174245
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Detecting Spatial-Temporal Changes of Urban Environment Quality by Remote Sensing-Based Ecological Indices: A Case Study in Panzhihua City, Sichuan Province, China.
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- Remote Sensing, 2022, v. 14, n. 17, p. 4137, doi. 10.3390/rs14174137
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Distribution and Mobility of Coseismic Landslides Triggered by the 2018 Hokkaido Earthquake in Japan.
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- Remote Sensing, 2022, v. 14, n. 16, p. 3957, doi. 10.3390/rs14163957
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Fast Seismic Landslide Detection Based on Improved Mask R-CNN.
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- Remote Sensing, 2022, v. 14, n. 16, p. 3928, doi. 10.3390/rs14163928
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Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis.
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- Remote Sensing, 2022, v. 14, n. 16, p. 3879, doi. 10.3390/rs14163879
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- Article