Forest Management Research using Optical Sensors and Remote Sensing Technologies |
Kim, Eun-sook
(Forest Ecology and Climate Change Division, National Institute of Forest Science)
Won, Myoungsoo (Forest Ecology and Climate Change Division, National Institute of Forest Science) Kim, Kyoungmin (Global Forestry Division, National Institute of Forest Science) Park, Joowon (College of Agriculture & Life Science, Kyungpook National University) Lee, Jung Soo (College of Forest & Environmental Sciences, Kangwon National University) |
1 | Lee, S., S.-J. Park, G. Baek, H. Kim, and C.-W. Lee, 2019d. Detection of Damaged Pine Tree by the Pine Wilt Disease Using UAV Image, Korean Journal of Remote Sensing, 35(3): 359-373 (in Korean with English abstract). DOI |
2 | Lee, Y.-S., S.-H. Park, H.-S. Jung, and W.-K. Baek, 2018b. Classification of Natural and Artificial Forests from KOMPSAT-3/3A/5 Images Using Artificial Neural Network, Korean Journal of Remote Sensing, 34(6-3): 1399-1414 (in Korean with English abstract). DOI |
3 | Lee, Y.-S., W.-K. Baek, and H.-S. Jung, 2019e. Forest Vertical Structure Classification in Gongju City, Korea from Optic and RADAR Satellite Images Using Artificial Neural Network, Korean Journal of Remote Sensing, 35(3): 447-455 (in Korean with English abstract). DOI |
4 | Lim, J., K.-M. Kim, and M.-K. Kim, 2019. The Development of Major Tree Species Classification Model using Different Satellite Images and Machine Learning in Gwangneung Area, Korean Journal of Remote Sensing, 35(6-2): 1037-1052 (in Korean with English abstract). DOI |
5 | Park, J.M., W.D. Sim, and J.S. Lee, 2019a. Automatic classification by Land use category of national level LULUCF sector using Deep Learning model, Korean Journal of Remote Sensing, 35(6-2): 1053-1065 (in Korean with English abstract). DOI |
6 | Park, S.-W., S.-J. Lee, C.-Y. Chung, S.-R. Chung, I. Shin, W.-C. Jung, H.-S. Mo, S.-I. Kim, and Y.-W. Lee, 2019b. Satellite-based Forest Withering Index for Detection of Fire Burn Area: Its Development and Application to 2019 Kangwon Wildfires, Korean Journal of Remote Sensing, 35(2): 343-346 (in Korean with English abstract). DOI |
7 | Shin, J.-I., W.-W. Seo, T. Kim, C. Woo, and J. Park, 2019. Analysis of Availability of High-resolution Satellite and UAV Multispectral Images for Forest Burn Severity Classification, Korean Journal of Remote Sensing, 35(6-2): 1095-1106 (in Korean with English abstract). DOI |
8 | Won, M., K. Jang, S. Yoon, and H. Lee, 2019. Change Detection of Damaged Area and Burn Severity due to Heat Damage from Gangwon Large Fire Area in 2019, Korean Journal of Remote Sensing, 35(6-2): 1083-1093 (in Korean with English abstract). DOI |
9 | Woo, H., S. Cho, G. Jung, and J. Park, 2019. Precision forestry using remote sensing techniques: opportunities and limitations of remote sensing application in forestry, Korean Journal of Remote Sensing, 35(6-2): 1067-1082 (in Korean with English abstract). DOI |
10 | Youn, H. and J. Jeong, 2019. Detection of Forest Fire and NBR Mis-classified Pixel using Multi-temporal Sentinel-2A Images, Korean Journal of Remote Sensing, 35(6-2): 1107-1115 (in Korean with English abstract). DOI |
11 | Lee, H.-S. and K.-S. Lee, 2019b. Multi-temporal analysis of High-resolution Satellite Images for Detecting and Monitoring Canopy Decline by Pine Pitch Canker, Korean Journal of Remote Sensing, 35(4): 545-560. DOI |
12 | Choi, J., H. Park, N. Park, S. Han, and J. Song, 2017. Deforestation Analysis Using Unsupervised Change Detection Based on ITPCA, Korean Journal of Remote Sensing, 33(6-3): 1233-1242 (in Korean with English abstract). DOI |
13 | Kim, D., M. Won, and Y. Lee, 2017. Estimation of Fire Emissions Using Fire Radiative Power (FRP) Retrieved from Himawari-8 Satellite, Korean Journal of Remote Sensing, 33(6-1): 1029-1040 (in Korean with English abstract). DOI |
14 | Kim, E.-S., B. Lee, and J.-H. Lim, 2019. Forest damage detection using daily normal vegetation index based on time series LANDSAT images, Korean Journal of Remote Sensing, 35(6-2): 1133-1148 (in Korean with English abstract). DOI |
15 | Kwon, S.-K., Y.-S. Lee, D.-S. Kim, and H.-S. Jung, 2019. Classification of Forest Vertical Structure Using Machine Learning Analysis, Korean Journal of Remote Sensing, 35(2): 229-239 (in Korean with English abstract). DOI |
16 | Lee, B., E.-S. Kim, J.-H. Lim, M. Kang, and J. Kim, 2019a. Application of machine learning algorithm and remote-sensed data to estimate forest gross primary production at multi-sites level, Korean Journal of Remote Sensing, 35(6-2): 1117-1132 (in Korean with English abstract). DOI |
17 | Lee, B., E.-S.. Kim, J. Lee, J.-M. Chung, and J.-H. Lim, 2018a. Detecting Phenology Using MODIS Vegetation Indices and Forest Type Map in South Korea, Korean Journal of Remote Sensing, 34(2-1): 267-282 (in Korean with English abstract). DOI |
18 | Lee, H.-S. and K.-S. Lee, 2017. Effect of Red-edge Band to Estimate Leaf Area Index in Close Canopy Forest, Korean Journal of Remote Sensing, 33(5-1): 571-585 (in Korean with English abstract). DOI |
19 | Lee, H.-S., W.-W. Seo, C. Woo, and K.-S. Lee, 2019c. Derivation and Evaluation of Surface Reflectance from UAV Multispectral Image for Monitoring Forest Vegetation, Korean Journal of Remote Sensing, 35(6-2): 1149-1160 (in Korean with English abstract). DOI |