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Developing a Model for the Relationship Between Vegetation and Wind Power Using Remote Sensing and Geographic Information Systems Technology

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Abstract

The aim of this study is to monitor the change of the existing vegetation in the area after the construction of wind power plants (WPPs) by using remote sensing (RS) and geographic information systems (GIS) technologies. The effects of WPPs on green areas have not been fully explored. The aim of this study is to expand on current knowledge and create a diagnostic model that shows the relationship between the turbines and the surrounding vegetation. All inventory data obtained within the scope of this study were compiled in GIS, and their relations in the field, the establishment dates, and numbers of WPPs were revealed. In this study, NDVI method was preferred. As a result, some negative changes were found in terms of slope and aspect according to CORINE (broadleaf forest degradation (BLF) and agricultural lands with natural vegetation degradation (NVA)) classes. While this study is a pioneer for studies in which WPP-related deterioration is made in terms of slope and aspect, it reveals the importance of GIS and RS. At the same time, using the Python programming language in common in GIS studies shows that making calculations with bulk data makes it easier to work in relatively large areas, especially for landscape planning studies.

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Data Availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Code Availability

Not applicable.

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Funding

This study was produced from the PhD study supported within the scope of Eskisehir Technical University Scientific Research Projects project number 20DRP051.

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Authors and Affiliations

  1. Department of City and Regional Planning, Faculty of Architecture, Ondokuz Mayis University, Samsun, Turkey

    Mehmet Cetin

  2. Institute of Graduate Programs, Department of Remote Sensing and Geographical Information Systems, Eskisehir Technical University, Eskisehir, Turkey

    Talha Aksoy

  3. Department of Landscape Architecture, Faculty of Agriculture, Ordu University, Ordu, Turkey

    Gulsah Bilge Ozturk

  4. Department of Architecture, Faculty of Architecture and Design, Eskisehir Technical University, Eskisehir, Turkey

    Alper Cabuk

Authors
  1. Mehmet Cetin
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  2. Talha Aksoy
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  3. Gulsah Bilge Ozturk
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  4. Alper Cabuk
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Contributions

TA, MC, GBO, and AC designed the study and performed the experiments; TA, GBO, AC, and MC performed the experiments, analyzed the data, and wrote the manuscript.

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Correspondence to Mehmet Cetin.

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Cetin, M., Aksoy, T., Bilge Ozturk, G. et al. Developing a Model for the Relationship Between Vegetation and Wind Power Using Remote Sensing and Geographic Information Systems Technology. Water Air Soil Pollut 233, 450 (2022). https://doi.org/10.1007/s11270-022-05887-0

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  • DOI: https://doi.org/10.1007/s11270-022-05887-0

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