| 来源类型 | Journal articles |
| 规范类型 | 论文 |
| DOI | 10.1016/j.oneear.2020.06.007 |
| From satellite to supply chain: New approaches connect Earth observation to economic decisions | |
| Javier Godar | |
| 发表日期 | 2020-07-24 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 概述 | How spatial data and machine-learning techniques can connect Earth observation data to conventional economic tools to improve supply chain sustainability. |
| 摘要 | To help businesses and governments realize more sustainable supply chains, new approaches are using spatial data and machine-learning techniques to connect Earth observation data to conventional economic tools. |
| 主题 | Economy : Supply chains ; Land : Food and agriculture |
| 标签 | modelling |
| URL | https://www.sei.org/publications/satellite-to-supply-chain/ |
| 来源智库 | Stockholm Environment Institute (Sweden) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/525493 |
| 推荐引用方式 GB/T 7714 | Javier Godar. From satellite to supply chain: New approaches connect Earth observation to economic decisions. 2020. |
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