ISPRS International Journal of Geo-Information, Volume 7, Issue 12
2018 December - 37 articles
Cover Story: Vegetation mapping and classification has been a major component of remote sensing since its inception. Increasingly, high spatial resolution sensors have allowed us to ask specific questions about vegetation at precise spatial locations. In this study, we sought to answer the question "where do trees extend over residential rooftops?" for the City of Calgary, Alberta, Canada. Our GEOBIA-based approach is applied to high-resolution multispectral imagery and leverages Volunteered Geographic Information (VGI) to reduce processing requirements—an important enhancement when working with city-spanning, sub-meter spatial resolution imagery. We generate detailed urban maps of vegetation over rooftops using a machine learning classifier on a VGI-filtered set of image objects. View this paper. - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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