Solar-panel detection goes global

Lynn H. Kaack

doi:10.1038/d41586-021-02875-y

2021-10-27

PRE

Lynn H. Kaack *

DOI：10.1038/d41586-021-02875-y

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摘要

En 中文

An inventory of the world's solar-panel installations has been produced with the help of machine learning, revealing many more than had previously been recorded. The results will inform efforts to meet global targets for solar-energy use.

Keyword:

DEPLOYMENT

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期刊

Nature

IF:

48.5

论文数:

1.8W

被引数:

96.5W

机构

Hertie School

学者数:

278

论文数: 295

被引数: 640

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