Canadian Forest Service Publications
Canopy architectural model in support of measurement methods using hemispherical photography. 2017. Côté, J.-F.; Fournier, R.A.; Verstraete, M.M. Pages 253-286 in R.A. Fournier and R.J. Hall (eds.), Hemispherical Photography in Forest Science: Theory, Methods, Applications. Springer Science+Business Media B.V., Dordrecht, The Netherlands.
Available from: Laurentian Forestry Centre
Catalog ID: 38450
CFS Availability: Not available through the CFS (click for more information).
Price: $130.89 (http://www.springer.com/cn/book/9789402410969)
This book presents practical information about hemispherical photography from the perspectives of field data acquisition, image processing and information retrieval methods.
This book is organized into three sections. The first section describes what is hemispherical photography and what are the fundamental elements of forest structure and light interactions within the forest canopy. The second section provides practical information about the equipment, procedures and tools for procuring, processing and analyzing hemispherical photographs. Armed with this information, the third section describes several applications of hemispherical photographs to forestry and natural resource assessment. The book concludes with a discussion about modelling tools and future directions of this rapidly growing field. There is currently no information source on the market that has this comprehensive range of topics combined in a single book. The book will appeal to academics, graduate students, natural resource professionals and researchers alike.
Plain Language Summary
In this book chapter, the researchers review different approaches to modelling tree architecture for the purpose of simulating the forest cover. They also examine how well these models take into account the variability found in the hemispheric photographs that are used to design the models. The authors present a new tree architecture model that can represent conifer structure at the individual branch level. This study will help measure the canopy’s characteristics more accurately based on satellite images.
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