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| Record-breaking canola crop credited to science from CSIRO 新闻 来源平台:Commonwealth Scientific and Industrial Research Organisation. 发布日期:2021 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:3/0  |  提交时间:2021/03/02 |
| Focus on carbon neutrality at Research Update » 新闻 来源平台:ANU Climate Change Institute. 发布日期:2021 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2021/02/18 |
| Underground connection 新闻 来源平台:EurekAlert. 发布日期:2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:6/0  |  提交时间:2020/09/24 |
| Project to combat fall armyworm in Australia and South East Asia 新闻 来源平台:Commonwealth Scientific and Industrial Research Organisation. 发布日期:2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2020/07/14 |
| WA wheat yields unchanged despite 100+ year rainfall decline 新闻 来源平台:Commonwealth Scientific and Industrial Research Organisation. 发布日期:2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:2/0  |  提交时间:2020/06/11 |
| MERIT Hydro: A High-Resolution Global Hydrography Map Based on Latest Topography Dataset 期刊论文 WATER RESOURCES RESEARCH, 2019, 55 (6) : 5053-5073 作者: Yamazaki, Dai; Ikeshima, Daiki; Sosa, Jeison; Bates, Paul D.; Allen, George H.; Pavelsky, Tamlin M.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:20/0  |  提交时间:2019/11/26 global hydrology hydrography river network topography |
| Early sowing systems can boost Australian grain industry 新闻 来源平台:Science X network. 发布日期:2019 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:2/0  |  提交时间:2019/04/16 |
| Boost for Australian grain industry 新闻 来源平台:EurekAlert!. 发布日期:2019 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:1/0  |  提交时间:2019/04/17 |
| Satellites reveal a new view of Earth's water from space 新闻 来源平台:Science X network. 发布日期:2019 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:14/0  |  提交时间:2019/04/16 |
| Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach 期刊论文 WATER RESOURCES RESEARCH, 2019, 55 (1) : 632-655 作者: Yan, Jiabao; Jia, Shaofeng; Lv, Aifeng; Zhu, Wenbin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:13/0  |  提交时间:2019/04/09 water resources runoff coefficient machine learning transboundary river China |