کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6549755 | 160240 | 2016 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimation of broad-leaved canopy growth in the urban forested area using multi-temporal airborne LiDAR datasets
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
جنگلداری
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چکیده انگلیسی
LiDAR estimations revealed that the average annual canopy growth from 2004 to 2010 was 0.26 ± 0.11 m mâ2 yrâ1 at the plot level and 0.26 ± 0.10 m mâ2 yrâ1 at the individual-tree level. This result showed that growing trends were consistent at different scales through 2004 to 2010 despite uncertainty in estimating short-term growth for small crown areas at the individual-tree level. This LiDAR-estimated canopy growth shows a moderate relation to field-measured increase of basal areas and average heights. The estimation uncertainties seem to result from the complex canopy structure and irregular crown shape of broad-leaved trees. Challenges still remain on how to incorporate the growth of understory trees, growth in the lateral direction, and gap dynamics inside the canopy, particularly in applying multi-temporal LiDAR datasets to the large-scale growth assessment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Urban Forestry & Urban Greening - Volume 16, 2016, Pages 142-149
Journal: Urban Forestry & Urban Greening - Volume 16, 2016, Pages 142-149
نویسندگان
Youngkeun Song, Junichi Imanishi, Takeshi Sasaki, Keiko Ioki, Yukihiro Morimoto,