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http://dx.doi.org/10.14249/eia.2018.27.3.279

Analyzing Difference of Urban Forest Edge Vegetation Condition by Land Cover Types Using Spatio-temporal Data Fusion Method  

Sung, Woong Gi (Graduate School, Seoul National University)
Lee, Dong Kun (Department of Landscape Architecture and Rural System Engineering, Seoul National University)
Jin, Yihua (Agricultural College of Yanbian University)
Publication Information
Journal of Environmental Impact Assessment / v.27, no.3, 2018 , pp. 279-290 More about this Journal
Abstract
The importance of monitoring and assessing the status of urban forests in the aspect of urban forest management is emerging as urban forest edges increase due to urbanization and human impacts. The purpose of this study was to investigate the status of vegetation condition of urban forest edge that is affected by different land cover types using $NDVI_{max}$ images derived from FSDAF (Flexible Spatio-temporal DAta Fusion). Among 4 land cover types,roads had the greatest effect on the forest edge, especially up to 30m, and it was found to affect up to 90m in Seoul urban forest. It was also found that $NDVI_{max}$ increased with distance away from the forest edge. The results of this study are expected to be useful for assessing the effects of land cover types and land cover change on forest edges in terms of urban forest monitoring and urban forest management.
Keywords
Normalized Difference Vegetation Index (NDVI); Edge effect; Remote sensing; Urban forest management;
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Times Cited By KSCI : 2  (Citation Analysis)
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