机构

• 地理科学与资源研究... [13]
• 成都山地灾害与环境研... [1]
• 地质与地球物理研究所 [1]
• 水生生物研究所 [1]

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [16]

发表日期

• 2024 [1]
• 2023 [3]
• 2022 [5]
• 2021 [4]
• 2018 [2]
• 2017 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共16条，第1-10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 High resolution soil moisture mapping in 3D space and time using machine learning and depth functions 期刊论文  OAI收割 GEODERMA, 2024, 卷号: 452, 页码: 117117 作者:  Zhang, Mo;  Ge, Yong;  Heuvelink, Gerard B. M.;  Ma, Yuxin   |  收藏  |  浏览/下载：4/0  |  提交时间：2025/01/17 Spatial interpolation  Downscaling method  Random forest  Equal-area spline depth function  Knowledge-driven approach   GIS-based landslide susceptibility mapping in the Longmen Mountain area (China) using three different machine learning algorithms and their comparison 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 页码: 15 作者:  Huang, Ziyan;  Peng, Li;  Li, Sainan;  Liu, Ying;  Zhou, Shuang   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/10/09 Landslide susceptibility assessment  Random forest model  Frequency ratio method  Support vector machine model  Longmen Mountain area   Combing remote sensing information entropy and machine learning for ecological environment assessment of Hefei-Nanjing-Hangzhou region, China 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 卷号: 325, 页码: 14 作者:  Zhang, Hongyi;  Liu, Yong;  Li, Xinghua;  Feng, Ruitao;  Gong, Yuting   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/12/23 Entropy method  Random forest  Remote sensing  Urban ecological environment assessment (UEEA)  UECIIMP   Combing remote sensing information entropy and machine learning for ecological environment assessment of Hefei-Nanjing-Hangzhou region, China 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 卷号: 325, 页码: 14 作者:  Zhang, Hongyi;  Liu, Yong;  Li, Xinghua;  Feng, Ruitao;  Gong, Yuting   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/12/23 Entropy method  Random forest  Remote sensing  Urban ecological environment assessment (UEEA)  UECIIMP   Predicting root zone soil moisture using observations at 2121 sites across China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 847, 页码: 10 作者:  Tian, Jing;  Zhang, Yongqiang;  Guo, Jianping;  Zhang, Xuanze;  Ma, Ning   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/12/23 Exponential filter method  Root zone soil moisture  Random forest classifier  China   Predicting root zone soil moisture using observations at 2121 sites across China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 847, 页码: 10 作者:  Tian, Jing;  Zhang, Yongqiang;  Guo, Jianping;  Zhang, Xuanze;  Ma, Ning   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/12/23 Exponential filter method  Root zone soil moisture  Random forest classifier  China   Analysis of Vegetation Vulnerability Dynamics and Driving Forces to Multiple Drought Stresses in a Changing Environment 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 17, 页码: 18 作者:  Wei, Xiaoting;  Huang, Shengzhi;  Huang, Qiang;  Liu, Dong;  Leng, Guoyong   |  收藏  |  浏览/下载：40/0  |  提交时间：2022/10/08 vegetation vulnerability  drought stress  seasonal scale  ecological water transport  random forest method   Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2022, 卷号: 65, 期号: 3, 页码: 518-535 作者:  Qin, Feng;  Zhao, Yan;  Cao, Xianyong   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/09/21 Biome reconstruction  Random forest algorithm  Biomisation method  Pollen data  Last Glacial Maximum  Tibetan Plateau   Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2022, 卷号: 65, 期号: 3, 页码: 518-535 作者:  Qin, Feng;  Zhao, Yan   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/09/21 Biome reconstruction  Random forest algorithm  Biomisation method  Pollen data  Last Glacial Maximum  Tibetan Plateau   A multimodel random forest ensemble method for an improved assessment of Chinese terrestrial vegetation carbon density 期刊论文  OAI收割 METHODS IN ECOLOGY AND EVOLUTION, 2021, 页码: 16 作者:  Wang, Zhaosheng;  Gong, He;  Huang, Mei;  Gu, Fengxue;  Wei, Jie   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/09/21 multimodel  multimodel ensemble mean (MMEM) method  multimodel random forest ensemble (MMRFE) method  national scale  terrestrial vegetation carbon density