机构

• 地理科学与资源研究... [42]

采集方式

• OAI收割 [42]

内容类型

• 期刊论文 [42]

发表日期

• 2021 [42]

学科主题

筛选

浏览/检索结果: 共42条，第1-10条 帮助 限定条件 发表日期：2021    专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 12, 页码: 7474-7484 作者:  Yao, Xin;  Gao, Yong;  Zhu, Di;  Manley, Ed;  Wang, Jiaoe   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/09/21 Spatial databases  Gravity  Convolution  Biological system modeling  Data models  Predictive models  Neural networks  Origin-destination flow  data imputation  spatial interaction network  graph embedding  graph convolution   An Integrated CNN Model for Reconstructing and Predicting Land Use/Cover Change: A Case Study of the Baicheng Area, Northeast China 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 23, 页码: 21 作者:  Zhang, Yubo;  Yang, Jiuchun;  Wang, Dongyan;  Wang, Jing;  Yu, Lingxue   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/09/21 land use and land cover change  machine learning algorithms  convolutional neural networks  deep learning   The Applications of Soft Computing Methods for Seepage Modeling: A Review 期刊论文  OAI收割 WATER, 2021, 卷号: 13, 期号: 23, 页码: 28 作者:  Nourani, Vahid;  Behfar, Nazanin;  Dabrowska, Dominika;  Zhang, Yongqiang   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/09/21 seepage modeling  groundwater  earthfill dam  soft computing  pre  post-processing  review   A five-parameter Gamma-Gaussian model to calibrate monthly and seasonal GCM precipitation forecasts 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2021, 卷号: 603, 页码: 15 作者:  Huang, Zeqing;  Zhao, Tongtiegang;  Zhang, Yongyong;  Cai, Huayang;  Hou, Aizhong   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/09/21 Precipitation  Forecast calibration  Quantile mapping  Gamma distribution  Gaussian distribution   A new urban hydrological model considering various land covers for flood simulation 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2021, 卷号: 603, 页码: 14 作者:  Hu, Chen;  Xia, Jun;  She, Dunxian;  Song, Zhihong;  Zhang, Yin   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/09/21 Urban floods  TVGM_Urban model  Horton infiltration model  SCSCN model  Land cover   A new urban hydrological model considering various land covers for flood simulation 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2021, 卷号: 603, 页码: 14 作者:  Hu, Chen;  Xia, Jun;  She, Dunxian;  Song, Zhihong;  Zhang, Yin   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/09/21 Urban floods  TVGM_Urban model  Horton infiltration model  SCSCN model  Land cover   The Applications of Soft Computing Methods for Seepage Modeling: A Review 期刊论文  OAI收割 WATER, 2021, 卷号: 13, 期号: 23, 页码: 28 作者:  Nourani, Vahid;  Behfar, Nazanin;  Dabrowska, Dominika;  Zhang, Yongqiang   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/09/21 seepage modeling  groundwater  earthfill dam  soft computing  pre  post-processing  review   Multi-station calibration strategy for evaluation and sensitivity analysis of the snowmelt runoff model using MODIS satellite images 期刊论文  OAI收割 HYDROLOGY RESEARCH, 2021, 页码: 16 作者:  Nourani, Vahid;  Afkhaminia, Amin;  Andaryani, Soghra;  Zhang, Yongqiang   |  收藏  |  浏览/下载：11/0  |  提交时间：2022/09/21 Aji-Chay  MODIS snow-cover  multi-station calibration  remote sensing (RS)  snowmelt runoff model (SRM)   Multi-station calibration strategy for evaluation and sensitivity analysis of the snowmelt runoff model using MODIS satellite images 期刊论文  OAI收割 HYDROLOGY RESEARCH, 2021, 页码: 16 作者:  Nourani, Vahid;  Afkhaminia, Amin;  Andaryani, Soghra;  Zhang, Yongqiang   |  收藏  |  浏览/下载：18/0  |  提交时间：2022/09/21 Aji-Chay  MODIS snow-cover  multi-station calibration  remote sensing (RS)  snowmelt runoff model (SRM)   A comparative mapping of plant species diversity using ensemble learning algorithms combined with high accuracy surface modeling 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 14 作者:  Zhao, Yapeng;  Yin, Xiaozhe;  Fu, Yan;  Yue, Tianxiang   |  收藏  |  浏览/下载：6/0  |  提交时间：2022/09/21 Plant species diversity (PSD)  Remote sensing  Ensemble learning  High-accuracy surface modeling (HASM)