@article{ART001404861},
author={Chang-Hee Hong and Chong-Hwa Park},
title={Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2009},
volume={18},
number={6},
pages={387-392}
TY - JOUR
AU - Chang-Hee Hong
AU - Chong-Hwa Park
TI - Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique
JO - Journal of Environmental Impact Assessment
PY - 2009
VL - 18
IS - 6
PB - Korean Society Of Environmental Impact Assessment
SP - 387
EP - 392
SN - 1225-7184
AB - As Our society’s environmental awareness and concern the significant increases, the
importance of the legal system for environmental conservation such as the Prior Environmental
Review System, Environmental Impact Assessment is growing increasingly. but, still critical
issues are present such as reliability. Though there could be various causes such as the system
or procedures etc. Above all, basically the environmental data problem is the critical cause.
Therefore, this study was trying to improve the environmental data accuracy using the highresolution
color aerial photography, LiDAR data and Object Oriented Classification method.
And in this study, classification based on coverage percentage of a particular species was
attempted through the multi-resolution segmentation and multi-level classification method.
The classification result was verified by comparison with 11 points local survey data. All 11
points were classified correctly. And even though the exact coverage percentage of the
particular species did not be measured, It was confirmed that the species was occupied similar
portion. It is important that the environmental data which can be used for the conservation
value assessment could be acquired.
KW - Object Oriented Classification(OOC);Vegetation Classification;Environmental
Impact Assessment(EIA);Biotop Map;High Resolution Imagery
DO -
UR -
ER -
Chang-Hee Hong and Chong-Hwa Park. (2009). Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique. Journal of Environmental Impact Assessment, 18(6), 387-392.
Chang-Hee Hong and Chong-Hwa Park. 2009, "Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique", Journal of Environmental Impact Assessment, vol.18, no.6 pp.387-392.
Chang-Hee Hong, Chong-Hwa Park "Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique" Journal of Environmental Impact Assessment 18.6 pp.387-392 (2009) : 387.
Chang-Hee Hong, Chong-Hwa Park. Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique. 2009; 18(6), 387-392.
Chang-Hee Hong and Chong-Hwa Park. "Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique" Journal of Environmental Impact Assessment 18, no.6 (2009) : 387-392.
Chang-Hee Hong; Chong-Hwa Park. Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique. Journal of Environmental Impact Assessment, 18(6), 387-392.
Chang-Hee Hong; Chong-Hwa Park. Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique. Journal of Environmental Impact Assessment. 2009; 18(6) 387-392.
Chang-Hee Hong, Chong-Hwa Park. Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique. 2009; 18(6), 387-392.
Chang-Hee Hong and Chong-Hwa Park. "Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique" Journal of Environmental Impact Assessment 18, no.6 (2009) : 387-392.
