Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Xiufang, Zhu"'
Autor:
Yifei Liu, Xuehong Chen, Jin Chen, Yunze Zang, Jingyi Wang, Miao Lu, Liang Sun, Qi Dong, Bingwen Qiu, Xiufang Zhu
Publikováno v:
Big Earth Data, Vol 8, Iss 3, Pp 494-521 (2024)
Long-term mapping of winter wheat is vital for assessing food security and formulating agricultural policies. Landsat data are the only available source for long-term winter wheat mapping in the North China Plain due to the fragmented landscape in th
Externí odkaz:
https://doaj.org/article/16277be6df9c4efaab15ac4d5ed9c83b
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102717- (2024)
In the context of global climate change and increasing human activities, grassland drought has become increasingly severe and complex. The monitoring of grassland drought is crucial for reducing drought-related losses and ensuring national ecological
Externí odkaz:
https://doaj.org/article/540149ea683549cf830b74b530bffe8f
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112271- (2024)
The distribution information of irrigated cultivated land is important to many studies, including grain yield estimation, water resources management, drought risk assessment, and so on. This study developed a feature variable, called the irrigation p
Externí odkaz:
https://doaj.org/article/408acdc9ee0d4a2a9130f13ad1495742
Publikováno v:
SLAS Technology, Vol 29, Iss 4, Pp 100139- (2024)
This study probed the importance of computed tomography perfusion (CTP) on assessing collateral circulation and prognosis in patients with acute anterior circulation large vessel occlusion (AAC-LVO) after endovascular therapy (EVT). Retrospective ana
Externí odkaz:
https://doaj.org/article/07420bd922f8410c8729581e790f3fd6
Autor:
Hongyan Che, Yaozhong Pan, Xingsheng Xia, Xiufang Zhu, Le Li, Yongsheng Huang, Xuechang Zheng, Lingang Wang
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Accurate crop mapping provides important information for government decision-making and agricultural management. Recent advancements in deep learning have significantly enhanced the capabilities of remote sensing-based crop mapping. In this study, we
Externí odkaz:
https://doaj.org/article/ab19a15490ee4e3dbbfd27011c54a81a
Autor:
Chunhua Zhou, Yuanzheng Qiu, Jianxin Wang, Xiang Zhong, Xiufang Zhu, Xiaojing Huang, Lan Yang, Qiaolei Ji, Feifei Zhou, Shunquan Wu, Mengjie Yang, Jing Zhang, Kaili Liu, Li Ji, Hanyu Yang, Chunlei Li, Yuanyuan Zhao
Publikováno v:
Emerging Microbes and Infections, Vol 13, Iss 1 (2024)
ABSTRACTContinuous emergence of new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), enhanced transmissibility, significant immune escape, and waning immunity call for booster vaccination. We evaluated the safety, immunogenic
Externí odkaz:
https://doaj.org/article/e33297fc9bb64cc099fdca850743d36a
Publikováno v:
Land, Vol 13, Iss 5, p 664 (2024)
Clarifying the relationship between urbanization and farmland abandonment in urban agglomerations (UAs) is crucial to guide the formulation of arable land management policies and strategies for sustainable urban development. Despite numerous studies
Externí odkaz:
https://doaj.org/article/afe19a84be75464385bce76c1b80eccc
Publikováno v:
In Ecological Indicators January 2024 158
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2023)
Many countries and regions are currently developing new forest strategies to better address the challenges facing forest ecosystems. Timely and accurate monitoring of deforestation events is necessary to guide tropical forest management activities. S
Externí odkaz:
https://doaj.org/article/500820da182e4cc8befca18f2cb3bc51
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 3, Pp 441-451 (2022)
An unsupervised change-detection problem is formulated as a binary classification problem corresponding to the change and no change areas. This paper proposes a novel unsupervised object-oriented change detection method based on neighborhood correlat
Externí odkaz:
https://doaj.org/article/e73967198aed4a48a15375b92273d182