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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 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     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning 期刊论文 REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 265, 页码: 19 作者:  Wang, Han;  Mao, Kebiao;  Yuan, Zijin;  Shi, Jiancheng;  Cao, Mengmeng 收藏  |  浏览/下载：55/0  |  提交时间：2021/11/05 Land surface temperature (LST)  Model-data-knowledge-driven  Deep learning  Geophysical logical reasoning  Expert knowledge   Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches 期刊论文 AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 297, 页码: 15 作者:  Cao, Juan;  Zhang, Zhao;  Tao, Fulu;  Zhang, Liangliang;  Luo, Yuchuan 收藏  |  浏览/下载：81/0  |  提交时间：2021/03/15 Rice  Google Earth Engine (GEE)  Machine Learning (ML)  Deep Learning (DL)  Yield prediction  Early warning system   Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine 期刊论文 EUROPEAN JOURNAL OF AGRONOMY, 2021, 卷号: 123, 页码: 12 作者:  Cao, Juan;  Zhang, Zhao;  Luo, Yuchuan;  Zhang, Liangliang;  Zhang, Jing 收藏  |  浏览/下载：42/0  |  提交时间：2021/04/25 Winter wheat  Machine learning  Deep learning  Google earth engine (GEE)  Yield estimation   High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data 期刊论文 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 92, 页码: 14 作者:  Li, Wang;  Niu, Zheng;  Shang, Rong;  Qin, Yuchu;  Wang, Li 收藏  |  浏览/下载：23/0  |  提交时间：2021/03/18 Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest   Estimating Ecosystem Respiration in the Grasslands of Northern China Using Machine Learning: Model Evaluation and Comparison 期刊论文 SUSTAINABILITY, 2020, 卷号: 12, 期号: 5, 页码: 17 作者:  Zhu, Xiaobo;  He, Honglin;  Ma, Mingguo;  Ren, Xiaoli;  Zhang, Li 收藏  |  浏览/下载：22/0  |  提交时间：2020/05/19 ecosystem respiration  machine learning  deep learning  grasslands  northern China   Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 1, 页码: 20 作者:  Zhang, Liangliang;  Zhang, Zhao;  Luo, Yuchuan;  Cao, Juan;  Tao, Fulu 收藏  |  浏览/下载：11/0  |  提交时间：2020/05/19 maize  yield prediction  EVI  SIF  LST  machine learning  LSTM   County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model 期刊论文 SENSORS, 2019, 卷号: 19, 期号: 20, 页码: 21 作者:  Sun, Jie;  Di, Liping;  Sun, Ziheng;  Shen, Yonglin;  Lai, Zulong 收藏  |  浏览/下载：2/0  |  提交时间：2020/05/19 soybean  yield prediction  county-level  Google Earth Engine  CNN-LSTM   An Improved Perceptual Hash Algorithm Based on U-Net for the Authentication of High-Resolution Remote Sensing Image 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 15, 页码: 20 作者:  Ding, Kaimeng;  Yang, Zedong;  Wang, Yingying;  Liu, Yueming 收藏  |  浏览/下载：94/0  |  提交时间：2020/03/23 high-resolution remote sensing image  deep learning  perceptual hash  integrity authentication  U-net