Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hudson J. Koch"'
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3200 (2023)
Landslide susceptibility mapping (LSM) characterizes landslide potential, which is essential for assessing landslide risk and developing mitigation strategies. Despite the significant progress in LSM research over the past two decades, several long-s
Externí odkaz:
https://doaj.org/article/5cd1206a195d4cf58a3b20fbf91999e8
Autor:
Matthew M. Crawford, Jason M. Dortch, Hudson J. Koch, Yichuan Zhu, William C. Haneberg, Zhenming Wang, L. Sebastian Bryson
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6246 (2022)
Rapidly changing remote sensing technologies (lidar, aerial photography, satellites) provide opportunities to improve regional-scale landslide risk mapping. However, data limitations regarding landslide hazard and exposure data influence how landslid
Externí odkaz:
https://doaj.org/article/120e16df942046fbb31bb2e72df65b5b
Publikováno v:
Remote Sensing; Volume 15; Issue 12; Pages: 3200
Landslide susceptibility mapping (LSM) characterizes landslide potential, which is essential for assessing landslide risk and developing mitigation strategies. Despite the significant progress in LSM research over the past two decades, several long-s
Autor:
Matthew M. Crawford, Ashton A. Killen, Lindsey S. Bryson, Hudson J. Koch, Junfeng Zhu, Jason M. Dortch, Yichuan Zhu, William C. Haneberg
Publikováno v:
Quarterly Journal of Engineering Geology and Hydrogeology. 54
High-resolution LiDAR-derived datasets from a 1.5 m digital elevation model and a detailed landslide inventory (n ≥ 1000) for Magoffin County, Kentucky, USA were used to develop a combined machine-learning and statistical approach to improve geomor
Publikováno v:
Geological Society of America Abstracts with Programs.
Publikováno v:
Geological Society of America Abstracts with Programs.