Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-021-24638-z |
A generalizable and accessible approach to machine learning with global satellite imagery | |
Esther Rolf; Jonathan Proctor; Tamma Carleton; Ian Bolliger; Vaishaal Shankar; Miyabi Ishihara; Benjamin Recht; Solomon Hsiang | |
2021-07-20 | |
发表期刊 | Nature Communications |
出版年 | 2021 |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/334067 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Esther Rolf,Jonathan Proctor,Tamma Carleton,et al. A generalizable and accessible approach to machine learning with global satellite imagery[J]. Nature Communications,2021. |
APA | Esther Rolf.,Jonathan Proctor.,Tamma Carleton.,Ian Bolliger.,Vaishaal Shankar.,...&Solomon Hsiang.(2021).A generalizable and accessible approach to machine learning with global satellite imagery.Nature Communications. |
MLA | Esther Rolf,et al."A generalizable and accessible approach to machine learning with global satellite imagery".Nature Communications (2021). |
条目包含的文件 | 条目无相关文件。 |
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