机构

• 地理科学与资源研究... [14]
• 自动化研究所 [3]
• 海洋研究所 [2]
• 成都山地灾害与环境研... [1]
• 地质与地球物理研究所 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [22]

内容类型

• 期刊论文 [22]

发表日期

• 2025 [4]
• 2024 [5]
• 2023 [2]
• 2022 [1]
• 2021 [4]
• 2020 [5]
• 更多

学科主题

筛选

浏览/检索结果: 共22条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Populus Euphratica extraction based on deep learning of spatiotemporal Information using Sentinel data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF REMOTE SENSING, 2025, 卷号: N/A 作者:  Li, Hao;  Zhao, Qinyu;  Hu, Jiacong;  Zou, Jiawei;  Ding, Chao   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 Populus euphratica mapping  deep learning  Spatiotemporal  Sentinel   Deep Spatiotemporal Subpixel Mapping Network by Integrating a Prior Fine Land Cover Map With Change Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4412214 作者:  Chen, Yuehong;  Huang, Jiamei;  Wang, Jiawei;  Zhou, Ya'nan;  Ge, Yong   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/21 Land surface  Remote sensing  Superresolution  Semantic segmentation  Spatial resolution  Generators  Spatiotemporal phenomena  Radiometry  Generative adversarial networks  Deep learning  Change detection  generative adversarial networks (GANs)  land cover  prior fine land cover map  semantic segmentation  subpixel mapping (SPM)   Precipitation Nowcasting Based on Radar Echo Images via Multiscale Spatiotemporal LSTM 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 5105614 作者:  Wang, Yueting;  Yao, Ling;  Jiang, Hou;  Liu, Tang;  Lu, Yuxiang   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/21 Spatiotemporal phenomena  Precipitation  Radar  Long short term memory  Predictive models  Radar imaging  Forecasting  Extrapolation  Feature extraction  Convolution  Deep learning (DL)  long short-term memory (LSTM)  multiscale spatiotemporal ((MST)-T-2) feature  precipitation nowcasting  radar echo extrapolation   A Forecast-Then-Retrieve Framework for Short-Term Forecasting of Downward Solar Radiation Using Geostationary Satellite Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4112518 作者:  Zhao, Ziwei;  Liu, Ronggao;  Zhang, Xuezhen;  Zhu, Mengyao;  Tao, Zexing   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 Forecasting  Accuracy  Clouds  Atmospheric modeling  Spatial resolution  Predictive models  Land surface  Green energy  Geostationary satellites  Fossil fuels  Climate change  Globalization  Downward shortwave radiation (DSR) forecasting  Himawari-8 satellite  Level 1B (L1B) radiance prediction  multimodal neural networks  spatiotemporal deep learning   U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal 期刊论文  OAI收割 GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 19 作者:  Zhang, Qian;  Liu, Xiangnan;  Peng, Tao   |  收藏  |  浏览/下载：91/0  |  提交时间：2024/04/19 Missing information reconstruction  optical time series data  SAR-to-optical translation  spatiotemporal mapping  deep learning   The Construction of a Mountain Vegetation Knowledge Graph Incorporating With Geographical Principles, Maps, and Remote Sensing Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 4416215 作者:  Yao, Yonghui;  Liu, Yulian   |  收藏  |  浏览/下载：37/0  |  提交时间：2025/01/17 Vegetation mapping  Knowledge graphs  Spatiotemporal phenomena  Geoscience  Remote sensing  Data models  Ontologies  Data mining  Semantics  Geography  Climate change  Deep learning  geographical principles  geoscience knowledge graph (GKG)  remote sensing (RS)  spatiotemporal information  vegetation distribution   Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22 作者:  Jiang, Hu;  Zou, Qiang;  Zhu, Yunqiang;  Li, Yong;  Zhou, Bin   |  收藏  |  浏览/下载：37/0  |  提交时间：2024/10/08 Spatiotemporal prediction  Rainfall-driven debris flow  Deep learning  Machine learning  Rainfall features   Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22 作者:  Jiang, Hu;  Zou, Qiang;  Zhu, Yunqiang;  Li, Yong;  Zhou, Bin   |  收藏  |  浏览/下载：84/0  |  提交时间：2024/08/14 Spatiotemporal prediction  Rainfall-driven debris flow  Deep learning  Machine learning  Rainfall features   Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657 作者:  Zhou, Yuan;  Ren, Tian;  Chen, Keran;  Gao, Le;  Li, Xiaofeng   |  收藏  |  浏览/下载：67/0  |  提交时间：2024/06/04 Forecasting  Predictive models  Atmospheric waves  Spatiotemporal phenomena  Sea surface  Ocean waves  Data models  Sea-surface height anomaly (SSHA)  deep learning (DL)  spatiotemporal prediction  Rossby waves   Fine Seismogenic Fault Structures and Complex Rupture Characteristics of the 2022 M6.8 Luding, Sichuan Earthquake Sequence Revealed by Deep Learning and Waveform Modeling 期刊论文  OAI收割 GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 18, 页码: 11 作者:  Zhao, Xu;  Xiao, Zhuowei;  Wang, Wei;  Li, Juan;  Zhao, Ming   |  收藏  |  浏览/下载：84/0  |  提交时间：2023/12/29 fault structures  spatiotemporal coseismic slip  deep learning  waveform modeling