TY - JOUR
T1 - Landslide Trail Extraction Using Fire Extinguishing Model
AU - Zhan, Zhao
AU - Shi, Wenzhong
AU - Zhang, Min
AU - Liu, Zhewei
AU - Peng, Linya
AU - Yu, Yue
AU - Sun, Yangjie
N1 - Funding Information:
Funding: This research was funded by the Ministry of Science and Technology of the People’s Republic of China (grant number 2019YFB2103102), the Hong Kong Polytechnic University (grant number 1-ZVN6, ZVU1), Hong Kong Research Grants Council (grant number T22-505/19-N), and Otto Poon Charitable Foundation Smart Cities Research Institute Work Program (grant number CD03).
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Landslide trails are important elements of landslide inventory maps, providing valuable information for landslide risk and hazard assessment. Compared with traditional manual mapping, skeletonization methods offer a more cost-efficient way to map landslide trails, by automatically generating centerlines from landslide polygons. However, a challenge to existing skeletonization methods is that expert knowledge and manual intervention are required to obtain a branchless skeleton, which limits the applicability of these methods. To address this problem, a new workflow for landslide trail extraction (LTE) is proposed in this study. To avoid generating redundant branches and to improve the degree of automation, two endpoints, i.e., the crown point and the toe point, of the trail were determined first, with reference to the digital elevation model. Thus, a fire extinguishing model (FEM) is proposed to generate skeletons without redundant branches. Finally, the effectiveness of the proposed method is verified, by extracting landslide trails from landslide polygons of various shapes and sizes, in two study areas. Experimental results show that, compared with the traditional grassfire model-based skeletonization method, the proposed FEM is capable of obtaining landslide trails without spurious branches. More importantly, compared with the baseline method in our previous work, the proposed LTE workflow can avoid problems including incompleteness, low centrality, and direction errors. This method requires no parameter tuning and yields excellent performance, and is thus highly valuable for practical landslide mapping.
AB - Landslide trails are important elements of landslide inventory maps, providing valuable information for landslide risk and hazard assessment. Compared with traditional manual mapping, skeletonization methods offer a more cost-efficient way to map landslide trails, by automatically generating centerlines from landslide polygons. However, a challenge to existing skeletonization methods is that expert knowledge and manual intervention are required to obtain a branchless skeleton, which limits the applicability of these methods. To address this problem, a new workflow for landslide trail extraction (LTE) is proposed in this study. To avoid generating redundant branches and to improve the degree of automation, two endpoints, i.e., the crown point and the toe point, of the trail were determined first, with reference to the digital elevation model. Thus, a fire extinguishing model (FEM) is proposed to generate skeletons without redundant branches. Finally, the effectiveness of the proposed method is verified, by extracting landslide trails from landslide polygons of various shapes and sizes, in two study areas. Experimental results show that, compared with the traditional grassfire model-based skeletonization method, the proposed FEM is capable of obtaining landslide trails without spurious branches. More importantly, compared with the baseline method in our previous work, the proposed LTE workflow can avoid problems including incompleteness, low centrality, and direction errors. This method requires no parameter tuning and yields excellent performance, and is thus highly valuable for practical landslide mapping.
KW - Centerline extraction
KW - Fire extinguishing model
KW - Landslide inventory mapping
KW - Landslide trail extraction
KW - Landslide trail mapping
KW - Skeletonization
UR - http://www.scopus.com/inward/record.url?scp=85122728294&partnerID=8YFLogxK
U2 - 10.3390/rs14020308
DO - 10.3390/rs14020308
M3 - Journal article
AN - SCOPUS:85122728294
SN - 2072-4292
VL - 14
JO - Remote Sensing
JF - Remote Sensing
IS - 2
M1 - 308
ER -