Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Meinan, Zhang"'
Publikováno v:
物联网学报, Vol 6, Pp 124-132 (2022)
The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial inte
Externí odkaz:
https://doaj.org/article/3332af3bdb8d4f9fa2b9155fa49fc0a9
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 762 (2022)
It is of great significance to understand the extent and distribution of bamboo for its valuable ecological services and economic benefits. However, it is challenging to map bamboo using remote sensing images over a large area because of the similari
Externí odkaz:
https://doaj.org/article/ecbed743474e4b0f8ec3b5319810f1ab
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1483 (2022)
With the rapid growth of users and sustained network demands powered by different industries, the quality of service (QoS) of the cellular network is affected by network traffic and computing loads. The current solutions of QoS improvement in academi
Externí odkaz:
https://doaj.org/article/d3b66369af5a4c5ab8460ab25daf12a2
Autor:
Meiwei Zhang, Huanjun Liu, Meinan Zhang, Haoxuan Yang, Yuanliang Jin, Yu Han, Haitao Tang, Xiaohan Zhang, Xinle Zhang
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5162 (2021)
Soil organic matter (SOM) plays a critical role in agroecosystems and the terrestrial carbon cycle. Thus, accurately mapping SOM promotes sustainable agriculture and estimations of soil carbon pools. However, few studies have analyzed the changing tr
Externí odkaz:
https://doaj.org/article/23bff37cee364b7ab6bd741a3890da95
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2934 (2021)
Many studies have attempted to predict soil organic matter (SOM), whereas mapping high-precision and high-resolution SOM maps remains a challenge due to the difficulty of selecting appropriate satellite data sources and prediction algorithms. This st
Externí odkaz:
https://doaj.org/article/de0bafe4b36642dcbd88ec0331cda6e0
Autor:
Meinan Zhang, Huabing Huang, Zhichao Li, Kwame Oppong Hackman, Chong Liu, Roger Lala Andriamiarisoa, Tahiry Ny Aina Nomenjanahary Raherivelo, Yanxia Li, Peng Gong
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3663 (2020)
Madagascar, one of Earth’s biodiversity hotpots, is characterized by heterogeneous landscapes and huge land cover change. To date, fine, reliable and timely land cover information is scarce in Madagascar. However, mapping high-resolution land cover
Externí odkaz:
https://doaj.org/article/de6d6853b090458d83fe02f4065dd85a
Autor:
Yuanyuan Zhao, Duole Feng, Le Yu, Yuqi Cheng, Meinan Zhang, Xiaoxuan Liu, Yidi Xu, Lei Fang, Zhiliang Zhu, Peng Gong
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 599 (2019)
Northeast China is a major grain production area, an ecological important forest area, and the largest old industrial base which is now suffering from economic growth slowdown and brain drain. Accurate and long-term dynamic land cover maps are highly
Externí odkaz:
https://doaj.org/article/ad680910611440869f80563ede7fcd8b
Autor:
Mingfang Zhang, Shirong Liu, Julia Jones, Ge Sun, Xiaohua Wei, David Ellison, Emma Archer, Steve McNulty, Heidi Asbjornsen, Zhiqiang Zhang, Yusuf Serengil, Meinan Zhang, Zhen Yu, Qiang Li, Junwei Luan, Ibrahim Yurtseven, Yiping Hou, Shiyu Deng, Zipei Liu
Publikováno v:
Forest Ecology and Management. 525:120545
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a20bfdbd8508085672b0f10937d68a9
https://doi.org/10.1016/j.foreco.2022.120545
https://doi.org/10.1016/j.foreco.2022.120545
Autor:
Meinan, Zhang, Trevor F, Keenan, Xiangzhong, Luo, Josep M, Serra-Diaz, Wenyu, Li, Tony, King, Qu, Cheng, Zhichao, Li, Roger Lala, Andriamiarisoa, Tahiry Ny Aina Nomenjanahary, Raherivelo, Yanxia, Li, Peng, Gong
Publikováno v:
The Science of the total environment. 810
The distribution of bamboo is sensitive to climate change and is also potentially affected by increasing atmospheric CO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d4265f5a023ca6758b5a0f03d61ea311
https://pubmed.ncbi.nlm.nih.gov/34890677
https://pubmed.ncbi.nlm.nih.gov/34890677
Publikováno v:
Remote Sensing, Vol 13, Iss 2934, p 2934 (2021)
Remote Sensing; Volume 13; Issue 15; Pages: 2934
Remote Sensing; Volume 13; Issue 15; Pages: 2934
Many studies have attempted to predict soil organic matter (SOM), whereas mapping high-precision and high-resolution SOM maps remains a challenge due to the difficulty of selecting appropriate satellite data sources and prediction algorithms. This st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e21be50094e43c29b0f79f5764fbc8fa
https://www.mdpi.com/2072-4292/13/15/2934
https://www.mdpi.com/2072-4292/13/15/2934