1 |
Forest Geospatial Information Service, 2017, http://www.forest.go.kr/newkfsweb/html/HtmlPage.do?pg=/fgis/UI_KFS_5002_020400.html&mn=KFS_02_04_03_04_07&orgId=fgis.
|
2 |
Kim, E.M. 2013. Extraction of the tree regions in forest areas using LIDAR data and Ortho-image. Journal of the Korean Society for GeoSpatial Information System, 21(2):27-34.
DOI
|
3 |
Kim, D.Y., Y.W. Jang, Y.W. Choi, D.S. Beai and G.S. Cho. 2009. A study information extraction using airborne LiDAR data. Journal of the Korean Society of Civil Engineers seasonal conference. pp.1575-1578.
|
4 |
Lee, D.G., K.D. Kim, S.R. Yang and H.J. Lee. 2017. Study on the possibility of Forest Geospatial Information Generation using past panchromatic forest aerial photograph scanning database. Journal of the Korean Society for Geospatial Information Science 24(4):107-116.
|
5 |
Lee, H.J. and J.H. Ru. 2012. Application of LiDAR data & high-resolution satellite image for calculate forest biomass. Journal of the Korean Society for GeoSpatial Information System 20(1):53-63.
DOI
|
6 |
Lee, S.J., J.Y. Park and E.M. Kim. 2014. Development of automated model of tree extraction Using aerial LIDAR data. Journal of the Korea Academia-Industrial cooperation Society 15(5):3213-3219.
DOI
|
7 |
Pascual, C., A. Garcia-Abril, L. G. Garcia-Montero, S. Martin-Fernandez and W. B. Cohen. 2008. Object-based semi-automatic approach for forest structure characterization using LiDAR data in heterogeneous Pinus sylvestris stands. Forest Ecology and Management. 255:3677-3685.
DOI
|
8 |
Wulder, M.A. and D. Seemann. 2003. Forest inventory height update through the integration of lidar data with segmented Landsat imagery, Can. J. Remote Sensing, 29(5):536-543.
DOI
|
9 |
Zimble, D.A., D.L. Evan, G.C. Carlson, R.C. Parker, S.C. Grado and P.D. Gerard. 2003. Characterizing vertical forest structure using small-footprint airborne LiDAR. Remote Sensing of Environment. 87:171-182.
DOI
|