Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Luqi Xin"'
Publikováno v:
Journal of Tourism and Cultural Change. 21:328-343
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d577e80901e0ef64e20d64f2b87706e
https://doi.org/10.1080/14766825.2023.2170239
https://doi.org/10.1080/14766825.2023.2170239
Publikováno v:
International Journal of Environmental Research and Public Health, Vol 18, Iss 2542, p 2542 (2021)
International Journal of Environmental Research and Public Health
Volume 18
Issue 5
International Journal of Environmental Research and Public Health
Volume 18
Issue 5
In this study, we examined South Korean residents’ travel-related behavioural intention for mainland China post-COVID-19 using an extended model of goal-directed behaviour. To do so, we integrated South Korean residents’ perceptions of country im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0e31c9b929a588fa55b5cea62719db
https://www.mdpi.com/1660-4601/18/5/2542
https://www.mdpi.com/1660-4601/18/5/2542
Publikováno v:
Land, Vol 12, Iss 11, p 2030 (2023)
The rapid and precise acquisition of the agricultural plastic greenhouse (PG) spatial distribution is essential in understanding PG usage and degradation, ensuring agricultural production, and protecting the ecological environment and human health. I
Externí odkaz:
https://doaj.org/article/5f80c46a5dba400db1bf46ce6fab383e
Autor:
Luofan Dong, Huaqiang Du, Fangjie Mao, Ning Han, Xuejian Li, Guomo Zhou, Di'en Zhu, Junlong Zheng, Meng Zhang, Luqi Xing, Tengyan Liu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 113-128 (2020)
Recently, convolutional neural networks (CNNs) showed excellent performance in many tasks, such as computer vision and remote sensing semantic segmentation. Especially, the ability to learn high-representation features of CNN draws much attention. An
Externí odkaz:
https://doaj.org/article/2dbcf63a17e940b49aef28c1e4c5baf8
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 284 (2023)
The aboveground carbon storage (AGC) of urban forests is an important indicator reflecting the ecological function of urban forests. It is essential to monitor the AGC of urban forests and analyze their spatiotemporal distributions. Remote sensing is
Externí odkaz:
https://doaj.org/article/c040bfea0e264a8680abec53ac888431
Publikováno v:
2012 9th International Conference on Fuzzy Systems & Knowledge Discovery; 1/ 1/2012, p2949-2952, 4p
Autor:
Yang Yi, Chen Zhang, Guilian Zhang, Luqi Xing, Qicheng Zhong, Jialin Liu, Yichen Lin, Xiewei Zheng, Na Yang, Hao Sun, Mingchang Shi, Hongzhang Kang
Publikováno v:
Land, Vol 10, Iss 10, p 1025 (2021)
The middle reaches of the Yangtze River region (MRYRR) are China’s first trans-regional urban agglomeration, located in the center of the Yangtze River Economic Belt. The MRYRR is an important ecological reserve, and its land cover changes are affe
Externí odkaz:
https://doaj.org/article/ef4b2f10b1d14aec93921d63cc372bef
Autor:
Luqi Xing, Xuejian Li, Huaqiang Du, Guomo Zhou, Fangjie Mao, Tengyan Liu, Junlong Zheng, Luofan Dong, Meng Zhang, Ning Han, Xiaojun Xu, Weiliang Fan, Di’en Zhu
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 56 (2018)
The highly accurate multiresolution leaf area index (LAI) is an important parameter for carbon cycle simulation for bamboo forests at different scales. However, current LAI products have discontinuous resolution with 1 km mostly, that makes it diffic
Externí odkaz:
https://doaj.org/article/7dc084c606264a0282b9946a1988e265
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 898 (2018)
China is one of the countries with the most abundant bamboo forest resources in the world, and Zhejiang province is among the top-3 Chinese provinces with richest bamboo forests. For rational bamboo forests management, it is of great significance to
Externí odkaz:
https://doaj.org/article/14e85a12d0224769bc0edd982e125592