Zobrazeno 1 - 10
of 297
pro vyhledávání: '"Xiangnan Liu"'
Autor:
Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTOptical remotely sensed time series data have various key applications in Earth surface dynamics. However, cloud cover significantly hampers data analysis and interpretation. Despite synthetic aperture radar (SAR)-to-optical image translation
Externí odkaz:
https://doaj.org/article/fb9062838a0346d9b9cd970bc8124824
Publikováno v:
PeerJ, Vol 12, p e17554 (2024)
Background Gymnospermium kiangnanense is the only species distributed in the subtropical region within the spring ephemeral genus Gymnospermium. Extensive human exploitation and habitat destruction have resulted in a rapid shrink of G. kiangnanense p
Externí odkaz:
https://doaj.org/article/4b4a7ac663b740b6816ce8107566771d
Autor:
Zhigang Cao, Li Yi, Xiangnan Liu, Jinyuan Shang, Yuening Cheng, Erkai Feng, Xingyu Liu, Yuping Fan, Xiaoliang Hu, Wenlong Cai, Feng Cong, Shipeng Cheng
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Canine distemper virus (CDV) is a highly contagious and potentially lethal virus that affects dogs and other members of the Canidae family, including wolves, foxes, and coyotes. Here, we present a fluorescent lateral flow immunoassay (FLFA) platform
Externí odkaz:
https://doaj.org/article/9a1af14fdcfb41ef94a646f4a14f57f2
Publikováno v:
Molecules, Vol 29, Iss 19, p 4666 (2024)
Self-healing, stretchable, and moldable hydrogels have a great potential application in tissue engineering and soft robotics. Despite great success in reported hydrogels, it is still a great challenge to construct the moldable hydrogels with an ultra
Externí odkaz:
https://doaj.org/article/df08049a52aa454884738750cf4c0661
Autor:
Yuxin Zhao, Zeyu Cui, Xiangnan Liu, Meiling Liu, Ben Yang, Lei Feng, Botian Zhou, Tingwei Zhang, Zheng Tan, Ling Wu
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2299 (2024)
The persistent increase in forest pest outbreaks requires timely detection methods to monitor the disaster precisely. However, early detection is challenging due to insufficient temporal observation and subtle tree changes. This article proposed a no
Externí odkaz:
https://doaj.org/article/ed1950d312184a808d14f0a4f17565e1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8563-8576 (2023)
In cloudy and rainy regions, frequent cloud cover limits clear data obtained using a single optical sensor, posing a substantial challenge for detecting deforestation events on subannual scale. In this article, a subannual scale deforestation detecti
Externí odkaz:
https://doaj.org/article/43943722774a4f48aa0a134f7dfaa069
Autor:
Qin Yang, Xiangnan Liu, Zhi Huang, Binbin Guo, Lingwen Tian, Caiyong Wei, Yuanyuan Meng, Yue Zhang
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 215-233 (2022)
Attentions over the health of evergreen vegetation are increasing owing to frequently occurrence of recent disturbance events (i.e. soil erosion, logging activities, and afforestation). However, vegetation indices that characterize canopy greenness h
Externí odkaz:
https://doaj.org/article/2ce0dc4aee7344bf81c97bf1e305881f
Autor:
Zheng Wang, Caiyong Wei, Xiangnan Liu, Lihong Zhu, Qin Yang, Qinyu Wang, Qian Zhang, Yuanyuan Meng
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1706-1721 (2022)
Accurate characterization of historical trends in vegetation change at the landscape scale is necessary for resource management and ecological assessment. Vegetation disturbance and recovery are coherent spatial and temporal processes. Pixel-based ch
Externí odkaz:
https://doaj.org/article/ca981804b5a94ba7ab98f35bb55204ec
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 35, Iss 1, Pp 1-14 (2022)
Abstract Feature information extraction is one of the key steps in prognostics and health management of rotating machinery. In the present study, an investigation about the feasibility of a methodology based on generalized S transform (GST) and singu
Externí odkaz:
https://doaj.org/article/9e06d2d5c9534083afeda77d96ed2e13
Autor:
Yiman Li, Xiangnan Liu, Meiling Liu, Ling Wu, Lihong Zhu, Zhi Huang, Xiaojing Xue, Lingwen Tian
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 744 (2024)
Eucalyptus plantations are expanding rapidly in southern China owing to their short rotation periods and high wood yields. Determining the plantation dynamics of eucalyptus plantations facilitates accurate operational planning, maximizes benefits, an
Externí odkaz:
https://doaj.org/article/410058798e4f45228adf7f3fe22ca376