Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Chengming Ye"'
Publikováno v:
Land, Vol 13, Iss 7, p 1032 (2024)
Ecological restoration is an important strategy for mitigating environmental degradation, and the effectiveness evaluation of ecological restoration is of profound significance for the scientific implementation of restoration projects. This study imp
Externí odkaz:
https://doaj.org/article/ded8e74e21a0448cbc364eea3db8cc0d
Publikováno v:
Diversity, Vol 16, Iss 5, p 300 (2024)
China’s Ecological Protection Red Lines (ERLs) policy has proven effective in constructing regional ecological security patterns and protecting ecological space. However, the existing methods for the identification of high conservation value areas
Externí odkaz:
https://doaj.org/article/1f296803bd224bda9bc8ddf3197e8319
Autor:
Dongguang WEN, Eryong ZHANG, Guiling WANG, Linyou ZHANG, Huang WANG, Senqi ZHANG, Chengming YE, Wenshi WANG, Xianpeng JIN, Donglin LIU, Xiaofeng JIA, Shengtao LI, Haidong WU, Sheng LIAN, Qingda FENG
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 50, Iss 4, Pp 1-13 (2023)
The exploitation and utilization of clean energy is a resource and environmental issue of common concern for global sustainable development. As a vital strategic and sustainable future energy, hot dry rock (HDR) has attracted more and more attention.
Externí odkaz:
https://doaj.org/article/6520e7153cfd4f40bb59dcad8c6e5504
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103542- (2023)
Accurate landslide segmentation is crucial for obtaining damage information in disaster mitigation and relief efforts. This study aims to develop a deep learning network for accurate point cloud landslide segmentation. The proposed dynamic graph atte
Externí odkaz:
https://doaj.org/article/ba8370e82b77454a89de102f04c87c05
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103521- (2023)
Accurate landslide detection is essential for disaster mitigation and relief. In this study, we develop a feature enhancement framework that integrates attention and multiscale mechanisms with U-Net (AMU-Net) for landslide detection. The framework ha
Externí odkaz:
https://doaj.org/article/4567271bbc75474caa3d5ddfd8349790
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Detecting and analyzing changes of water resources is critical for human survival and societal development in the Qinghai Tibet Plateau (QTP). We implemented the cosine similarity method to complete the migration of samples and achieve a more accurat
Externí odkaz:
https://doaj.org/article/d83079fc0f4e44c0a7023e2725f76d29
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4498 (2023)
The lack of high-resolution training sets for intelligent landslide recognition using high-resolution remote sensing images is a major challenge. To address this issue, this paper proposes a method for reconstructing low-resolution landslide remote s
Externí odkaz:
https://doaj.org/article/be24c00fb1a04c9493297b2882101964
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
The effects of geohazards on the ecological environment and ecological spatial pattern have received wide attention from scholars. However, the positive role played by ecological restoration projects on the environment and in the reduction of geohaza
Externí odkaz:
https://doaj.org/article/6df1789baea5422aa8e996215c6ea901
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
The accuracy of data-driven landslide susceptibility mapping (LSM) is closely affected by the quality of non-landslide samples. This research proposes a method combining a self-organizing-map (SOM) and a one-class SVM (SOM-OCSVM) to generate more rea
Externí odkaz:
https://doaj.org/article/7e4747b44988472c8485c4be17f97ec7
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
On 8 January 2022, an Ms 6.9 earthquake occurred in Menyuan County, Qinghai Province, China. This earthquake ruptured a patch of the Qilian-Haiyuan fault in the northeast margin of the Qinghai-Tibet Plateau. In order to understand the seismogenic str
Externí odkaz:
https://doaj.org/article/676e7dc8b6ff4c9e931c2ab0e7886c35