Abstract
The amount of vegetation physically damaged by forest fire can be evaluated using lidar (Light Detection And Ranging) data because the loss of canopy height and width by forest fire can be relevant to the number of points transmitted to the ground through the canopy of the damaged forest. On the other hand, the biological damage of vegetation caused by forest fire can be obtained from the Normalized Difference Vegetation Index (NDVI), which determines the vegetation vitality. In this study, the degree of physical damage from the Udar data was classified into serious physical damage (SPD) and light physical damage (WD). The degree of biological damage using NDVI was likewise classified into serious biological damage (SBD) and light biological damage (LBD). Finally, the damaged area was graded into four categories: (a) SPD and SBD, (b) LPD and SBD, (c) SPD and LBD, and (d) LPD and LBD. The accuracy assessment for the area classified into four grades showed an overall accuracy of 0.74, and a kappa value of 0.61 which provides improvement over previous works.
| Original language | English |
|---|---|
| Pages (from-to) | 277-287 |
| Number of pages | 11 |
| Journal | Photogrammetric Engineering and Remote Sensing |
| Volume | 76 |
| Issue number | 3 |
| Publication status | Published - 2010 Mar 1 |
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ASJC Scopus subject areas
- Computers in Earth Sciences
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Evaluation for damaged degree of vegetation by forest fire using lidar and a digital aerial photograph. / Kwak, Doo Ahn; Chung, Jinwon; Lee, Woo-Kyun; Kafatos, Menas; Si Young, Lee; Cho, Hyun Kook; Lee, Seung Ho.
In: Photogrammetric Engineering and Remote Sensing, Vol. 76, No. 3, 01.03.2010, p. 277-287.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Evaluation for damaged degree of vegetation by forest fire using lidar and a digital aerial photograph
AU - Kwak, Doo Ahn
AU - Chung, Jinwon
AU - Lee, Woo-Kyun
AU - Kafatos, Menas
AU - Si Young, Lee
AU - Cho, Hyun Kook
AU - Lee, Seung Ho
PY - 2010/3/1
Y1 - 2010/3/1
N2 - The amount of vegetation physically damaged by forest fire can be evaluated using lidar (Light Detection And Ranging) data because the loss of canopy height and width by forest fire can be relevant to the number of points transmitted to the ground through the canopy of the damaged forest. On the other hand, the biological damage of vegetation caused by forest fire can be obtained from the Normalized Difference Vegetation Index (NDVI), which determines the vegetation vitality. In this study, the degree of physical damage from the Udar data was classified into serious physical damage (SPD) and light physical damage (WD). The degree of biological damage using NDVI was likewise classified into serious biological damage (SBD) and light biological damage (LBD). Finally, the damaged area was graded into four categories: (a) SPD and SBD, (b) LPD and SBD, (c) SPD and LBD, and (d) LPD and LBD. The accuracy assessment for the area classified into four grades showed an overall accuracy of 0.74, and a kappa value of 0.61 which provides improvement over previous works.
AB - The amount of vegetation physically damaged by forest fire can be evaluated using lidar (Light Detection And Ranging) data because the loss of canopy height and width by forest fire can be relevant to the number of points transmitted to the ground through the canopy of the damaged forest. On the other hand, the biological damage of vegetation caused by forest fire can be obtained from the Normalized Difference Vegetation Index (NDVI), which determines the vegetation vitality. In this study, the degree of physical damage from the Udar data was classified into serious physical damage (SPD) and light physical damage (WD). The degree of biological damage using NDVI was likewise classified into serious biological damage (SBD) and light biological damage (LBD). Finally, the damaged area was graded into four categories: (a) SPD and SBD, (b) LPD and SBD, (c) SPD and LBD, and (d) LPD and LBD. The accuracy assessment for the area classified into four grades showed an overall accuracy of 0.74, and a kappa value of 0.61 which provides improvement over previous works.
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UR - http://www.scopus.com/inward/citedby.url?scp=77949807396&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:77949807396
VL - 76
SP - 277
EP - 287
JO - Photogrammetric Engineering and Remote Sensing
JF - Photogrammetric Engineering and Remote Sensing
SN - 0099-1112
IS - 3
ER -