Cargando…
Automated Landslides Detection for Mountain Cities Using Multi-Temporal Remote Sensing Imagery
Landslides that take place in mountain cities tend to cause huge casualties and economic losses, and a precise survey of landslide areas is a critical task for disaster emergency. However, because of the complicated appearance of the nature, it is difficult to find a spatial regularity that only rel...
Autores principales: | Chen, Zhong, Zhang, Yifei, Ouyang, Chao, Zhang, Feng, Ma, Jie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876587/ https://www.ncbi.nlm.nih.gov/pubmed/29522424 http://dx.doi.org/10.3390/s18030821 |
Ejemplares similares
-
Improving GIS-Based Landslide Susceptibility Assessments with Multi-temporal Remote Sensing and Machine Learning
por: Lai, Jhe-Syuan, et al.
Publicado: (2019) -
Automated object recognition in high-resolution optical remote sensing imagery
por: Yao, Yazhou, et al.
Publicado: (2023) -
Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries
por: Zhou, Xin-Xing, et al.
Publicado: (2022) -
Characteristics of landslide-debris flow accumulation in mountainous areas
por: Qing-zhao, Zhang, et al.
Publicado: (2019) -
Discovering Vegetation Recovery and Landslide Activities in the Wenchuan Earthquake Area with Landsat Imagery
por: Zhong, Cheng, et al.
Publicado: (2021)