| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27879 |
| 来源ID | Working Paper 27879 |
| Using Satellite Imagery to Understand and Promote Sustainable Development | |
| Marshall Burke; Anne Driscoll; David Lobell; Stefano Ermon | |
| 发表日期 | 2020-10-05 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | Accurate and comprehensive measurements of a range of sustainable development outcomes are fundamental inputs into both research and policy. We synthesize the growing literature that uses satellite imagery to understand these outcomes, with a focus on approaches that combine imagery with machine learning. We quantify the paucity of ground data on key human-related outcomes and the growing abundance and resolution (spatial, temporal, and spectral) of satellite imagery. We then review recent machine learning approaches to model-building in the context of scarce and noisy training data, highlighting how this noise often leads to incorrect assessment of models’ predictive performance. We quantify recent model performance across multiple sustainable development domains, discuss research and policy applications, explore constraints to future progress, and highlight key research directions for the field. |
| 主题 | Econometrics ; Estimation Methods ; Development and Growth ; Development |
| URL | https://www.nber.org/papers/w27879 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 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/585552 |
| 推荐引用方式 GB/T 7714 | Marshall Burke,Anne Driscoll,David Lobell,et al. Using Satellite Imagery to Understand and Promote Sustainable Development. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w27879.pdf（1519KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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