Solar farms placement suitability

Multi-criteria analysis based layer dedicated to estimation of suitability of solar farms placement. 0 means absolutely unsuitable, 1 means perfectly suitable. Analysis is based on solar irradiace, powerlines grid proximity, power substations proximity, elevation slope, minimal and maximal temperatures, populated areas proximity.

Layer Details

  • Data type: vector-mvt

Sources

  • © 2020 The World Bank Group,CC-BY 4.0
  • Concept of areas © Brahmagupta, René Descartes
  • Copernicus Global Land Service: Land Cover 100 m: Marcel Buchhorn,Bruno Smets,Luc Bertels,Bert De Roo,MyroslavaLesiv,Nandin – Erdene Tsendbazar,… Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) Data set. Zenodo. http://doi.org/10.5281/zenodo.3939050
  • Copyright © 2022 The World Bank https://globalsolaratlas.info/support/terms-of-use
  • Copyright © 2022 WorldClim https://www.worldclim.org/data/index.html
  • Copyright © OpenStreetMap contributors https://www.openstreetmap.org/copyright
  • © Data from General Bathymatric Chart of the Oceans,www.gebco.net GEBCO Compilation Group (2024) GEBCO 2024 Grid (doi:10.5285/1c44ce99-0a0d-5f4f-e063-7086abc0ea0f)
  • Dataset: Schiavina M.,Freire S.,Carioli A.,MacManus K. (2023): GHS-POP R2023A – GHS population grid multitemporal (1975-2030).European Commission,Joint Research Centre (JRC) PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe,doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE Concept & Methodology: Freire S.,MacManus K.,Pesaresi M.,Doxsey-Whitfield E.,Mills J. (2016) Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World.,Association of Geographic Information Laboratories in Europe (AGILE),AGILE 2016
  • Facebook Connectivity Lab and Center for International Earth Science Information Network – CIESIN – Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. https://dataforgood.fb.com/tools/population-density-maps/
  • Geoalert Urban Mapping: Chechnya,Moscow region,Tyva,Tashkent,Bukhara,Samarkand,Navoi,Chirchiq – https://github.com/Geoalert/urban-mapping
  • © Kontur https://kontur.io/
  • Microsoft Buildings: Australia,Canada,Tanzania,Uganda,USA: This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL).
  • Numbers © Muḥammad ibn Mūsā al-Khwārizmī
  • NZ Building Outlines data sourced from the LINZ Data Service – https://data.linz.govt.nz/
  • © OpenStreetMap contributors https://www.openstreetmap.org/copyright

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