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Im, Jungho
Intelligent Remote sensing and geospatial Information Science (IRIS) Lab
Research Interests
  • Remote sensing, Geospatial modeling, Disaster monitoring and management, Climate change

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Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images

Cited 1 times inthomson ciCited 1 times inthomson ci
Title
Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images
Author
Zhang, WenhuaQuackenbush, Lindi J.Im, JunghoZhang, Lianjun
Keywords
Automatic Detection; Buffer zones; Competition index; Crown diameter; Crown size; Diameter-at-breast heights; Digital numbers; Ground measurements; High spatial resolution images; Individual tree; Norway spruce; Stand volume; Stem volume; Tree crowns; Tree height Engineering controlled terms: Remote sensing; Sensors
Issue Date
2012-09
Publisher
TAYLOR & FRANCIS LTD
Citation
INTERNATIONAL JOURNAL OF REMOTE SENSING, v.33, no.17, pp.5451 - 5472
Abstract
Much effort has been spent on the automatic detection and delineation of individual trees from high spatial resolution images. However, delineation errors may lead to an inaccurate crown size when compared with ground measurements. Thus, it is problematic to use delineated crowns to derive information on tree variables, e.g. crown diameter, tree height, diameter at breast height (DBH), stand volume, stem volume or stand competition index. In this study, we investigated two indicators - the mean digital number (MDN) within each delineated crown and the difference between MDNs (DMDNs) for 0.6 m buffer zones outside and inside the boundary of each delineated crown - to separate poorly delineated crowns from well-delineated ones. We modelled the relationships between delineated crowns and field-based crown size, between delineated crowns and tree height, and between delineated crowns and DBH observations in a Norway spruce (Picea abies) stand, separately considering models based on all delineated results and crowns identified as being well delineated. Our results showed that the capability of the two indicators in separating poorly and well-delineated crowns varied under different thresholds. The results also indicated that models considering only well-delineated crowns were more robust and effective in estimating and predicting tree crown diameter, DBH and tree height than models that considered all delineated results. ⓒ 2012 Copyright Taylor and Francis Group, LLC.
URI
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DOI
10.1080/01431161.2012.663109
ISSN
0143-1161
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UEE_Journal Papers
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