机构

• 地理科学与资源研究所 [3]
• 寒区旱区环境与工程研... [1]
• 植物研究所 [1]

采集方式

• OAI收割 [4]
• iSwitch采集 [1]

内容类型

• 期刊论文 [5]

发表日期

• 2023 [1]
• 2022 [1]
• 2021 [1]
• 2018 [2]

学科主题

• Engineerin... [1]
• Geography,... [1]
• Imaging Sc... [1]
• Remote Sen... [1]

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Reconstruction of the pan evaporation based on meteorological factors with machine learning method over China 期刊论文  OAI收割 AGRICULTURAL WATER MANAGEMENT, 2023, 卷号: 287, 页码: 108416 作者:  Wang, Hong;  Sun, Fubao;  Liu, Fa;  Wang, Tingting;  Liu, Wenbin   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/09/07 D20 Pan evaporation  Random Forest  PenPan model  Daily scale   Nation-scale reference evapotranspiration estimation by using deep learning and classical machine learning models in China 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2022, 卷号: 604, 页码: 15 作者:  Dong, Juan;  Zhu, Yuanjun;  Jia, Xiaoxu;  Shao, Ming'an;  Han, Xiaoyang   |  收藏  |  浏览/下载：12/0  |  提交时间：2022/09/21 ET0  Convolutional neural network  Extreme learning machine  Multiple adaptive regression splines   Spatial Downscaling of Land Surface Temperature Based on a Multi-Factor Geographically Weighted Machine Learning Model 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 6, 页码: 33 作者:  Xu, Saiping;  Zhao, Qianjun;  Yin, Kai;  He, Guojin;  Zhang, Zhaoming   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/07/09 land surface temperature  spatial downscaling  geographically weighted regression  ensemble learning  extreme gradient boosting  multivariate adaptive regression splines  Bayesian ridge regression  Sentinel-2A   Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment 期刊论文  iSwitch采集 STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 卷号: 32, 期号: 9, 页码: 2457-2476 作者:  Yin, Zhenliang;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yang, Linshan 收藏  |  浏览/下载：59/0  |  提交时间：2019/10/09 River flow forecasting  Support vector regression  Multivariate adaptive regression spline  M5Tree model  Data-driven model   An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 期号: 2, 页码: 572-584 作者:  Liu, Ran;  Li, Wenkai;  Liu, Xiaoping;  Lu, Xingcheng;  Li, Tianhong   |  收藏  |  浏览/下载：11/0  |  提交时间：2022/02/25 Classifier ensemble  one-class classification  positive and unlabeled learning (PUL)  weighted average  weighted vote