GSTDTAP

浏览/检索结果: 共3条,第1-3条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop 科技报告
来源:National Academies Press. 出版年: 2022
作者:  National Academies of Sciences, Engineering, and Medicine
收藏  |  浏览/下载:3/0  |  提交时间:2022/06/24
Lessons Learned in the Implementation of NASA's Earth Venture Class 科技报告
来源:National Academies Press. 出版年: 2022
作者:  National Academies of Sciences, Engineering, and Medicine
收藏  |  浏览/下载:7/0  |  提交时间:2022/06/24
Leveraging Commercial Space for Earth and Ocean Remote Sensing 科技报告
来源:National Academies Press. 出版年: 2022
作者:  National Academies of Sciences, Engineering, and Medicine
收藏  |  浏览/下载:6/0  |  提交时间:2022/03/17