Remote Sensing and Open-Source Applications of Renewable Energies and Sustainable Management Monitoring
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (30 October 2022) | Viewed by 8985
Special Issue Editor
Interests: satellite remote sensing techniques; environmental sciences; sustainable development; environmental parameters analysis; renewable energy sources potential assessment and mapping; re-analysis and large scale dataset; GIS
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The central role of renewable energies (REs) and sustainable management (SM) in global warming problems is clear. REs play a critical role in achieving sustainable development. Remote sensing (RS) and open-source applications and techniques are largely applied to the energy and SM fields. A better understanding of assessing, mapping, modelling and predicting RS with new methods and techniques of different cases can dramatically reduce the risk of failure of REs converter installation projects and more SM. Furthermore, sustainable applications of RS and geospatial information system (GIS) for Earth observation have become more essential in understanding our blue planet's geological, ecological, and environmental characteristics.
This Special Issue (SI) aims to provide a multidisciplinary discussion forum on recent advances in RS and GIS for REs and SM applications and to find new applications at different scales, i.e., urban, regional, national, and even continental, for planning and scenarios.
Topics of primary interest include, but are not limited to:
- Renewable energies assessing, mapping and modeling;
- Advances in sensors for sustainable applications of remote sensing;
- Sustainability in multiplatform remote sensing;
- Geospatial data models in sustainability and management;
- Open-source and decision-making tools and GIS;
- Earth observation-based satellites and reanalysis data and datasets;
- Renewable energies and sustainable management based on machine learning models;
- Spatial planning for sustainable energy development;
- Sustainability in image processing algorithm and systems;
- Performance modelling, calibration and simulation;
- Remote sensing techniques and GIS for assessment, maps and atlases;
- Best practices, testing and case studies.
Dr. Meysam Majidi Nezhad
Guest Editor
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Keywords
- renewable energies
- decision making tools
- earth observation data
- machine learning models
- image processing, remote sensing and reanalysis data
- sustainable management
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