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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2019     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Regional risk assessment of debris flows in China-An HRU-based approach 期刊论文 GEOMORPHOLOGY, 2019, 卷号: 340, 页码: 84-102 作者:  Zou, Qiang;  Cui, Peng;  He, Jing;  Lei, Yu;  Li, Shusong 收藏  |  浏览/下载：56/0  |  提交时间：2019/09/09 Debris flow  Hazard analysis  Exposure  Vulnerability  Hydrological Response Unit (HRU)   A Global Adjustment Method for Photogrammetric Processing of Chang'E-2 Stereo Images 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 9, 页码: 6832-6843 作者:  Ren, Xin;  Liu, Jianjun;  Li, Chunlai;  Li, Haihong;  Yan, Wei 收藏  |  浏览/下载：15/0  |  提交时间：2020/03/10 Chang'E-2 (CE2) stereo images  global adjustment  self-calibration  topographic map   How size and trigger matter: analyzing rainfall- and earthquake-triggered landslide inventories and their causal relation in the Koshi River basin, central Himalaya 期刊论文 NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2019, 卷号: 19, 期号: 8, 页码: 1789-1805 作者:  Zhang, Jianqiang;  van Westen, Cees J.;  Tanyas, Hakan;  Mavrouli, Olga;  Ge, Yonggang 收藏  |  浏览/下载：64/0  |  提交时间：2019/10/08 Spatial variations in soil-water carrying capacity of three typical revegetation species on the Loess Plateau, China 期刊论文 AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2019, 卷号: 273, 页码: 25-35 作者:  Jia, Xiaoxu;  Shao, Mingan;  Yu, Dongxue;  Zhang, Yu;  Binley, Andrew 收藏  |  浏览/下载：59/0  |  提交时间：2019/09/24 Plant cover  Carrying capacity  Re-vegetated soil  Biome-BGC model  The Loess Plateau   Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010 期刊论文 SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 650, 页码: 661-670 作者:  Wang, Tianye;  Wu, Tonghua;  Wang, Ping;  Li, Ren;  Xie, Changwei 收藏  |  浏览/下载：55/0  |  提交时间：2019/05/23 Permafrost distribution  Permafrost changes  Qinghai-Tibet Plateau  Logistic regression model  Multi-criteria analysis   Model Simulation and Prediction of Decadal Mountain Permafrost Distribution Based on Remote Sensing Data in the Qilian Mountains from the 1990s to the 2040s 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 2, 页码: 19 作者:  Zhao, Shangmin;  Zhang, Shifang;  Cheng, Weiming;  Zhou, Chenghu 收藏  |  浏览/下载：77/0  |  提交时间：2019/05/22 mountain permafrost  logistic regression model  model simulation and prediction  mean decadal air temperature data  Qilian Mountains   The potential of integrating landscape, geochemical and economical indices to analyze watershed ecological environment 期刊论文 Journal of Hydrology, 2019, 页码: DOI:10.1016/j.jhydrol.2019.124298 作者:  Yu Huan;  Kong Bo;  He Zheng-Wei;  Wang Guangxing;  Wang Qing 收藏  |  浏览/下载：28/0  |  提交时间：2020/01/09 Watershed  Geochemistry  Landscape  Socio-economic indices  Remote sensing  Statistical analysis   Mapping mountain areas: learning from Global, European and Norwegian perspectives 期刊论文 JOURNAL OF MOUNTAIN SCIENCE, 2019, 卷号: 16, 期号: 1, 页码: 1-15 作者:  Price, Martin F.;  Arnesen, Tor;  Gloersen, Erik;  Metzger, Marc J. 收藏  |  浏览/下载：4/0  |  提交时间：2020/11/02 Mountains  Mapping  Geographic information systems Europe  Norway  Topography   Landslide susceptibility: a statistically-based assessment on a depositional pyroclastic ramp 期刊论文 JOURNAL OF MOUNTAIN SCIENCE, 2019, 卷号: 16, 期号: 3, 页码: 561-580 作者:  Murillo-Garcia, Franny G.;  Steger, Stefan;  Alcantara-Ayala, Irasema 收藏  |  浏览/下载：42/0  |  提交时间：2020/11/02 Landslide susceptibility  Pyroclastic ramp  Logistic regression  Generalized Additive Model  Support Vector Machine  Cross validation   GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms 期刊论文 JOURNAL OF MOUNTAIN SCIENCE, 2019, 卷号: 16, 期号: 3, 页码: 595-618 作者:  Arabameri, Alireza;  Pradhan, Biswajeet;  Rezaei, Khalil;  Sohrabi, Masoud;  Kalantari, Zahra 收藏  |  浏览/下载：19/0  |  提交时间：2020/11/02 Landslide susceptibility  GIS  Remote sensing  Bivariate model  Multivariate model  Machine learning model