Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing
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 atmosp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/22/3748 |
| _version_ | 1797547910840188928 |
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| author | Fernando Ramos Martins |
| author_facet | Fernando Ramos Martins |
| author_sort | Fernando Ramos Martins |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:50:50Z |
| format | Article |
| id | doaj.art-66e21940ed6c4b5297621f3747b60324 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T14:50:50Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-66e21940ed6c4b5297621f3747b603242023-11-20T20:57:42ZengMDPI AGRemote Sensing2072-42922020-11-011222374810.3390/rs12223748Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote SensingFernando Ramos Martins0Laboratório de Modelagem Aplicada aos Recursos Renováveis, Instituto do Mar, Universidade Federal de São Paulo—Campus Baixada Santista, São Paulo 11070-100, BrazilThe 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.https://www.mdpi.com/2072-4292/12/22/3748renewable energy resource assessment and forecastingremote sensing data acquisitiondata processingstatistical analysismachine learning techniques |
| spellingShingle | Fernando Ramos Martins Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing Remote Sensing renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques |
| title | Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing |
| title_full | Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing |
| title_fullStr | Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing |
| title_full_unstemmed | Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing |
| title_short | Editorial for the Special Issue: Assessment of Renewable Energy Resources with Remote Sensing |
| title_sort | editorial for the special issue assessment of renewable energy resources with remote sensing |
| topic | renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques |
| url | https://www.mdpi.com/2072-4292/12/22/3748 |
| work_keys_str_mv | AT fernandoramosmartins editorialforthespecialissueassessmentofrenewableenergyresourceswithremotesensing |