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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


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Guest Editor
Department of Astronautical, Electrical & Energy Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy
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:

  1. Renewable energies assessing, mapping and modeling;
  2. Advances in sensors for sustainable applications of remote sensing;
  3. Sustainability in multiplatform remote sensing;
  4. Geospatial data models in sustainability and management;
  5. Open-source and decision-making tools and GIS;
  6. Earth observation-based satellites and reanalysis data and datasets;
  7. Renewable energies and sustainable management based on machine learning models;
  8. Spatial planning for sustainable energy development;
  9. Sustainability in image processing algorithm and systems;
  10. Performance modelling, calibration and simulation;
  11. Remote sensing techniques and GIS for assessment, maps and atlases;
  12. Best practices, testing and case studies.

Dr. Meysam Majidi Nezhad
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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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Published Papers (3 papers)

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Research

18 pages, 8809 KiB  
Article
Integrating Renewable Energy Sources in Italian Port Areas towards Renewable Energy Communities
by Sofia Agostinelli, Mehdi Neshat, Meysam Majidi Nezhad, Giuseppe Piras and Davide Astiaso Garcia
Sustainability 2022, 14(21), 13720; https://doi.org/10.3390/su142113720 - 22 Oct 2022
Cited by 13 | Viewed by 2370
Abstract
The impact of ports on urban areas’ decarbonization to reduce air and environmental pollution effects to achieve sustainable development is undeniable, especially in the marine transportation sector. In this case, applied studies that can contribute to existing knowledge on increasing ports’ energy self-sufficiency [...] Read more.
The impact of ports on urban areas’ decarbonization to reduce air and environmental pollution effects to achieve sustainable development is undeniable, especially in the marine transportation sector. In this case, applied studies that can contribute to existing knowledge on increasing ports’ energy self-sufficiency using renewable energy sources (RESs) are critical and necessary. In this study, firstly, (1) the RESs assessment prioritization methodology was designed for Lazio ports. Additionally, (2) long-term solar radiation and wind speed were analyzed using the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) dataset of Lazio ports. Furthermore, (3) the time-series, normal-distribution and correlation methods were applied to the generated energy source, based on various parameters of the RESs used in the ports. Finally, (4) Italian port areas, towards renewable energy community (REC) scenarios, were analyzed and developed. Full article
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16 pages, 3566 KiB  
Article
Analyzing Tehran’s Air Pollution Using System Dynamics Approach
by Nasser Shahsavari-Pour, Sadegh Bahador, Azim Heydari and Afef Fekih
Sustainability 2022, 14(3), 1181; https://doi.org/10.3390/su14031181 - 20 Jan 2022
Cited by 1 | Viewed by 2484
Abstract
Air pollution is one of the major issues in urban management. City managers and planners pay a great deal of attention to this problem given its harmful effect on people’s health and the environment. This paper proposes a simulated model of the pollution [...] Read more.
Air pollution is one of the major issues in urban management. City managers and planners pay a great deal of attention to this problem given its harmful effect on people’s health and the environment. This paper proposes a simulated model of the pollution level of the capital city of Tehran along with its source and outcomes based on system dynamics. First, it provides a comprehensive review of the sources of greenhouse emission along with the impact of natural factors on its growth. The data is collected from 2011 to 2021. Then a dynamic model is applied to simulate Tehran’s air pollution for twenty years (from 2011 to 2031). The statistical method of design of experiments (DoE) is considered to set the sensitive and controllable variables of the city’s pollution. The information is used to set plans to reduce the air pollution considering several scenarios. The results of the research show that the best strategy to reduce air pollution that can resolve other issues as well is to manufacture environmentally friendly cars that can rely on renewable energy resources as their fuels. The other highly important strategy is to preserve forests. Full article
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19 pages, 6175 KiB  
Article
Role of a Mine in Changing Its Surroundings—Land Use and Land Cover and Impact on the Natural Environment in Barapukuria, Bangladesh
by Hossain Mohammad Arifeen, Md. Shahariar Chowdhury, Haoran Zhang, Tanita Suepa, Nowshad Amin, Kuaanan Techato and Warangkana Jutidamrongphan
Sustainability 2021, 13(24), 13602; https://doi.org/10.3390/su132413602 - 9 Dec 2021
Cited by 3 | Viewed by 3021
Abstract
Land use and land cover (LULC) change is considered among the most discussed issues associated with development nowadays. It is necessary to provide factual and up-to-date information to policymakers to fulfil the increasing population’s food, work, and habitation needs while ensuring environmental sustainability. [...] Read more.
Land use and land cover (LULC) change is considered among the most discussed issues associated with development nowadays. It is necessary to provide factual and up-to-date information to policymakers to fulfil the increasing population’s food, work, and habitation needs while ensuring environmental sustainability. Geographical Information System (GIS) and Remote sensing can perform such work adequately. This study aims to assess land use and land cover changes concerning the Barapukuria coal mine and its adjacent areas in Bangladesh by applying remote sensing and GIS (geographical information system) techniques. This research work used time-series satellite images from the Landsat 7 ETM+ satellite between 1999 and 2009 and the Landsat 8 OLI/TIRS satellite for 2019. Supervised classification maximum likelihood classifier matrix was implemented using ERDAS Imagine 2018. The images were categorised into four definite classes: settlement, agricultural land, forest land, and waterbody. Analytical results clearly indicated that settlements and agricultural land had increasing and decreasing trends over the past 20 years, respectively. Settlements increased from 22% to 34% between 1999 and 2019. However, agricultural land reduced from 69% to 59% in the same period. Settlements grew by more than 50% during this period. The research had an overall accuracy of 70%, while the kappa coefficient was more than 0.60. There were land subsidence issues because of mining activities, leading to 1.003 km2 area being depressed and 1500 houses cracked. This research depicts the present LULC scenario and the impact of the coalfield area. It is expected to reduce the burden on policymakers to prepare a proper and effective mines development policy in Bangladesh and meet sustainable development goal (SDG) 15 (Life on land). Full article
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