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浏览/检索结果: 共718条，第1-10条 帮助 限定条件 存缴方式：oaiharvest     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 Process Analysis of the Evolution of Farmland Landscape in China 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 卷号: 13, 期号: 3, 页码: 15 作者:  Fu, Yan;  Qi, Qingwen;  Jiang, Lili;  Zhao, Yapeng   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/05/06 evolution process of farmland  farmland fragmentation  farmland restoration   Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 卷号: 13, 期号: 3, 页码: 19 作者:  Qian, Jiale;  Du, Yunyan;  Liang, Fuyuan;  Yi, Jiawei;  Wang, Nan   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/06 linguistic diversity  flood  rainfall  social media  Chinese dialects  bias   Spatial variability and forecast of soil water in the ultra-deep loess profile across a south-north transect of the Chinese Loess Plateau 期刊论文  OAI收割 HYDROLOGICAL PROCESSES, 2024, 卷号: 38, 期号: 3, 页码: 12 作者:  Gong, Tiexiong;  Zhu, Yuanjun;  Qiao, Jiangbo;  Shao, Ming'an   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/04/19 artificial neural networks  Chinese Loess Plateau  soil water  ultra-deep loess profile   Simulating human mobility with a trajectory generation framework based on diffusion model 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2024, 页码: 32 作者:  Chu, Chen;  Zhang, Hengcai;  Wang, Peixiao;  Lu, Feng   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/03/04 Human mobility  trajectory generation  diffusion model  geo-foundation model   Learning transferable cross-modality representations for few-shot hyperspectral and LiDAR collaborative classification 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 126, 页码: 11 作者:  Dai, Mofan;  Xing, Shuai;  Xu, Qing;  Wang, Hanyun;  Li, Pengcheng   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/02/26 Multimodal remote sensing data  Meta-learning  Few-shot learning  Cross-modality feature learning   Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events: Case Study of Typhoon In-Fa 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 卷号: 13, 期号: 2, 页码: 50 作者:  Ji, Tao;  Huang, Xian;  Shao, Jinliang;  Zhu, Yunqiang;  Deng, Shejun   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/04/08 accessibility  feature of spatio-temporal evolution  extreme weather events  typhoon In-Fa  main urban area of Yangzhou City   A Geoscience-Aware Network (GASlumNet) Combining UNet and ConvNeXt for Slum Mapping 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 2, 页码: 19 作者:  Lu, Wei;  Hu, Yunfeng;  Peng, Feifei;  Feng, Zhiming;  Yang, Yanzhao   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/03/04 slum mapping  deep learning  geoscience-aware paradigm  semantic segmentation  remote sensing   Evaluation and analysis of statistical and coupling models for highway landslide susceptibility 期刊论文  OAI收割 GEOMATICS NATURAL HAZARDS & RISK, 2023, 卷号: 14, 期号: 1, 页码: 23 作者:  Fan, Huadan;  Lu, Yuefeng;  Shao, Shiwei;  Li, Li;  Wang, Yanjun   |  收藏  |  浏览/下载：31/0  |  提交时间：2023/02/27 Highway landslide susceptibility  statistical model  analytic hierarchy process  logistic regression  ROC curve  Sridevi Jadi parameter   Open Fund of Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology[E22201] 项目  OAI收割 项目编号: E22201, 资助机构: Open Fund of Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, 2023- -   |  收藏  |  浏览/下载：36/0  |  提交时间：2023/02/27 Evaluation and analysis of statistical and coupling models for highway landslide susceptibility 期刊论文  OAI收割 GEOMATICS NATURAL HAZARDS & RISK, 2023, 卷号: 14, 期号: 1, 页码: 23 作者:  Fan, Huadan;  Lu, Yuefeng;  Shao, Shiwei;  Li, Li;  Wang, Yanjun   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/02/27 Highway landslide susceptibility  statistical model  analytic hierarchy process  logistic regression  ROC curve  Sridevi Jadi parameter