机构

• 地理科学与资源研究所 [4]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [3]
• SCI/SSCI论文 [2]
• 会议论文 [1]

发表日期

• 2020 [1]
• 2019 [2]
• 2015 [2]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Comparative performance assessment of landslide susceptibility models with presence-only, presence-absence, and pseudo-absence data 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 12, 页码: 2961-2981 作者:  Zhao, Dong-mei;  Jiao, Yuan-mei   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/02/17 Landslide susceptibility mapping  Presence-only data  Presence-absence data  Pseudoabsence data  ROC-AUC   A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods 期刊论文  OAI收割 CATENA, 2019, 卷号: 183, 页码: 17 作者:     |  收藏  |  浏览/下载：40/0  |  提交时间：2020/05/19 Landslide absence data  Sampling method  Data-driven methods  Landslide susceptibility mapping, similarity model, data mining and machine learning   A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods 期刊论文  OAI收割 CATENA, 2019, 卷号: 183, 页码: 17 作者:  Zhu, A-Xing;  Miao, Yamin;  Liu, Junzhi;  Bai, Shibiao;  Zeng, Canying   |  收藏  |  浏览/下载：24/0  |  提交时间：2020/05/19 Landslide absence data  Sampling method  Data-driven methods  Landslide susceptibility mapping, similarity model, data mining and machine learning   Climate change threatens giant panda protection in the 21st century SCI/SSCI论文  OAI收割 2015 作者:  Li R. Q.;  Xu, M.;  Wong, M. H. G.;  Qiu, S.;  Li, X. H. 收藏  |  浏览/下载：36/0  |  提交时间：2015/12/09 Biotic interaction  Climate change  Conservation effectiveness  Conservation policies  Giant panda habitats  species distribution models  biotic interactions  nature-reserves  envelope models  absence data  distributions  china  habitat  biodiversity  impacts   Climate change-induced decline in bamboo habitats and species diversity: implications for giant panda conservation SCI/SSCI论文  OAI收割 2015 作者:  Li R. Q.;  Xu, M.;  Wong, M. H. G.;  Qiu, S.;  Sheng, Q. K. 收藏  |  浏览/下载：33/0  |  提交时间：2015/12/09 Bamboo species  climate change  MAXENT  panda conservation  species  diversity  biotic interactions  extinction risk  change impacts  ecological  responses  distribution models  envelope models  absence data  biodiversity  china  distributions   Research of error correction of LEO satellite orbit prediction for vehicle-borne tracking and position device (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者:  Wang J.-J.;  Guo L.-H. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 Vehicle-borne tracking and position device is used to track LEO satellite. Because of the absence of the target which might be caused by cloud or zenith blind zone  the forecasting data will be used to acquire the target. While orbit prediction has serious errors  the target is always missed. Meanwhile  in its application to the vehicle-borne tracking and position device  due to the base of instability in the tracking process  it will result in significant difference between predicting data and tracking data  so the target will be not tracked rapidly. We applied tracking data to predict satellite orbits by improving Laplace method  and then corrected the error between Predicted data and actual measured data by interpolation method of Lagrange which improves the accuracy of prediction values. The testing data shows the accuracy of predicted data ranging from 3' to 10" for both azimuth and elevation when extrapolated satellite orbit to 7 seconds time. 2010 IEEE.