Processing Large Satellite Imagery to Estimate Solar Irradiance

被引：0
|
作者：
Penteliuc, Marius E. [1 ]
机构：
[1] West Univ Timisoara, Dept Comp Sci, Timisoara, Romania
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2021年
关键词：
satellite imagery; irradiance; cloud types;
D O I：
10.1109/BigData52589.2021.9671916
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We use satellite imagery to identify cloud types and correlate with irradiance data from a solar platform. Processing the large images takes several minutes. Integrating into a web service would enable multiple users to estimate solar irradiance using just satellite imagery. It would also allow for the processing of many images at once as more remote sensing satellites are launched and data is easily accessible. The Sentinel 2 Cirrus Band shows an 81% correlation with the diffuse solar irradiance values measured at the platform.
引用
收藏
页码：5985 / 5987
页数：3
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