Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing

被引：2
作者：
Martins, Fernando Ramos [1 ,2 ]
机构：
[1] Univ Fed Sao Paulo, Inst Mar, Lab Modelagem Aplicada Recursos Renovaveis, Campus Baixada Santista, BR-11070100 Sao Paulo, Brazil
[2] Rua Carvalho de Mendonca 144, BR-11070100 Santos, SP, Brazil
来源：
REMOTE SENSING | 2020年 / 12卷 / 22期
关键词：
renewable energy resource assessment and forecasting; remote sensing data acquisition; data processing; statistical analysis; machine learning techniques;
D O I：
10.3390/rs12223748
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The development of renewable energy sources plays a fundamental role in the transition towards a low carbon economy. Considering that renewable energy resources have an intrinsic relationship with meteorological conditions and climate patterns, methodologies based on the remote sensing of the atmosphere are fundamental sources of information to support the energy sector in planning and operation procedures. This Special Issue is intended to provide a highly recognized international forum to present recent advances in remote sensing to data acquisition required by the energy sector. After a review, a total of eleven papers were accepted for publication. The contributions focus on solar, wind, and geothermal energy resource. This editorial presents a brief overview of each contribution.
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页码：1 / 6
页数：6
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