Zobrazeno 1 - 10
of 48
pro vyhledávání: '"landslide extraction"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Landslides are major geological hazards globally, causing significant economic losses each year. Accurate landslide detection is essential for disaster prevention, risk assessment, and timely emergency response. Current extraction methods struggle to
Externí odkaz:
https://doaj.org/article/e9a1591e221a46aa9466fdf2ec7a3f62
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
A landslide inventory is essential for numerous applications, including disaster prevention and mitigation. The emergence of advanced satellite technologies and the proliferation of extensive satellite imagery have greatly enhanced the role of deep l
Externí odkaz:
https://doaj.org/article/659d1295f5064d818515985937f6a364
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103950- (2024)
Accurate extraction of landslide information is crucial for timely disaster emergency response, yet this process faces significant challenges due to the interference of bare land and vegetation cover as well as the variability in landslide scales. Fu
Externí odkaz:
https://doaj.org/article/00db850161914f6c9158e585440b2429
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Introduction: Landslides are known to be one of the most frequent types of geological disasters. However, there is not an established method for large-scale, rapid, and high-precision landslide extraction. The quantitative impact of environmental cha
Externí odkaz:
https://doaj.org/article/92f9191820b3426ca97a932e3a7c3ac0
Autor:
Hesheng Chen, Yi He, Lifeng Zhang, Sheng Yao, Wang Yang, Yumin Fang, Yaoxiang Liu, Binghai Gao
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 552-577 (2023)
Accurate landslide extraction is significant for landslide disaster prevention and control. Remote sensing images have been widely used in landslide investigation, and landslide extraction methods based on deep learning combined with remote sensing i
Externí odkaz:
https://doaj.org/article/0a27a064bb0d450ba26bfa56e0c273a6
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2771 (2024)
This study aims to accurately determine the distribution of landslides in the complex terrain of Jiangdingya, Nanyu Township, Zhouqu County, Gansu Province. The digital orthophoto map (DOM) and digital elevation model (DEM) are used to accurately ide
Externí odkaz:
https://doaj.org/article/f4ce181a2f53427db6bcca926c732ff5
Akademický článek
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Autor:
Na Lin, Di Zhang, Shanshan Feng, Kai Ding, Libing Tan, Bin Wang, Tao Chen, Weile Li, Xiaoai Dai, Jianping Pan, Feifei Tang
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3901 (2023)
Landslides, the second largest geological hazard after earthquakes, result in significant loss of life and property. Extracting landslide information quickly and accurately is the basis of landslide disaster prevention. Fengjie County, Chongqing, Chi
Externí odkaz:
https://doaj.org/article/6fb7db89e6784bad8c892c59205da868
Autor:
Qingya WANG, Jin ZHANG
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 52, Iss 4, Pp 547-556 (2021)
High resolution remote sensing images play an important role in landslide recognition. In order to solve the problems of diverse data, complex algorithms, redundant features, and insufficient research on the specific texture characteristics of a sing
Externí odkaz:
https://doaj.org/article/003b9ec6881148d9bdc70f05e28897e8
Akademický článek
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