- Volume 35 Issue 4
DOI QR Code
Multi-temporal Analysis of High-resolution Satellite Images for Detecting and Monitoring Canopy Decline by Pine Pitch Canker
- Lee, Hwa-Seon (Department of Geoinformatic Engineering, Inha University) ;
- Lee, Kyu-Sung (Department of Geoinformatic Engineering, Inha University)
- Received : 2019.07.16
- Accepted : 2019.08.19
- Published : 2019.08.31
Unlike other critical forest diseases, pine pitch canker in Korea has shown rather mild symptoms of partial loss of crown foliage and leaf discoloration. This study used high-resolution satellite images to detect and monitor canopy decline by pine pitch canker. To enhance the subtle change of canopy reflectance in pitch canker damaged tree crowns, multi-temporal analysis was applied to two KOMPSAT multispectral images obtained in 2011 and 2015. To assure the spectral consistency between the two images, radiometric corrections of atmospheric and shadow effects were applied prior to multi-temporal analysis. The normalized difference vegetation index (NDVI) of each image and the NDVI difference (
Supported by : Korea Agency for Infrastructure Technology Advancement (KAIA)
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