Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yuanzhen Ju"'
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4075 (2024)
As cracks are a precursor landslide deformation feature, they can provide forecasting information that is useful for the early identification of landslides and determining motion instability characteristics. However, it is difficult to solve the size
Externí odkaz:
https://doaj.org/article/e031eeb581cf4d80812ad897aa001a18
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 323-338 (2022)
Many objects in the naturalenvironment are generated from the background and even transformed by nature or human beings. Thus, they do not have closed and well-defined boundaries in remote sensing imagery. Recently, convolutional neural network (CNN)
Externí odkaz:
https://doaj.org/article/b3c413dcce504ee9bcee0caa88e0ac82
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3850 (2023)
Landslide detection and distribution mapping are essential components of geohazard prevention. For the extremely difficult problem of automatic forested landslide detection, airborne remote sensing technologies, such as LiDAR and optical cameras, can
Externí odkaz:
https://doaj.org/article/efebc81869314bf98200c3e1297e4096
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1182 (2022)
Regional landslide identification is important for the risk management of landslide hazards. The traditional methods of regional landslide identification were mainly conducted by a human being. In previous studies, automatic landslide recognition mai
Externí odkaz:
https://doaj.org/article/6ebff1ed4abe4d32b55591b943251d19
Publikováno v:
Journal of Earth Science. 32:1079-1091
Geohazard recognition and inventory mapping are absolutely the keys to the establishment of reliable susceptibility and hazard maps. However, it has been challenging to implement geohazards recognition and inventory mapping in mountainous areas with
Autor:
Ying Peng, Weile Li, Yuanzhen Ju, Yueze Zheng, Federico Raspini, Nicola Casagli, Qingkai Meng, Qiang Xu
Publikováno v:
Landslides. 18:251-265
Loess landslides are a severe engineering geological problem on the Loess Plateau of China. This study relies on interferometric synthetic aperture radar (InSAR) and unmanned aerial vehicle (UAV) photogrammetry techniques to characterise a large-scal
Publikováno v:
Journal of Mountain Science. 17:1826-1839
With high spatial resolution, on-demand-flying ability, and the capacity for obtaining three-dimensional measurements, unmanned aerial vehicle (UAV) photogrammetry is widely used for detailed investigations of single landslides, but its effectiveness
Autor:
Jing Zhang, Jin Liu, Yuanzhen Ju, Min Li, Qiang Xu, Qiuli Yang, Qinghua Guo, YanJun Su, Ke-Xin Xu, Yu Liu, Shichao Jin, Jing Xuan
Publikováno v:
Science China Earth Sciences. 63:1457-1474
Ecological resources are an important material foundation for the survival, development, and self-realization of human beings. In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable developmen
Publikováno v:
Bulletin of Engineering Geology and the Environment. 79:1861-1877
Quantitative estimation of rill erosion research plays a significant role in the understanding of rill formation and their development mechanisms, which is lacking presently. In this paper, rill erosion is quantified to analyze and evaluate the spati
Autor:
Dalei Peng, Xing Qi, Yuanzhen Ju, Xianlin Zhang, Qiang Xu, Huilin Xing, Shuai Zhang, Kuanyao Zhao, Kai Kang
Publikováno v:
Journal of Asian Earth Sciences. 171:259-276
In the Heifangtai terrace, NW China, flooding irrigation is common for the cropland production and has increased the groundwater table by 20–30 m over the past five decades. It is believed that excessive irrigation has induced a large number of loe