Solar park detection from publicly available satellite imagery

The rapid increase in large-scale photovoltaic installations, or solar parks, causes a need to monitor their amount and allocation, and assess their impacts. While their spectral signature suggests that solar parks can be identified among other land covers, this detection is challenged by their low...

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Bibliographic Details

Published in:	GIScience & Remote Sensing
Main Authors:	Veerle Plakman, Job Rosier, Jasper van Vliet
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Subjects:	photovoltaics object-based image classification random forest transfer learning land use land cover
Online Access:	http://dx.doi.org/10.1080/15481603.2022.2036056