Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Zhixia GUO"'
Publikováno v:
IEEE Access, Vol 10, Pp 122670-122678 (2022)
In the telecommunications field, the problem of data island is caused by the separation and isolation of data. They are distributed in different systems including the business support system (BSS), management support system (MSS), and operation suppo
Externí odkaz:
https://doaj.org/article/3938e323d16641aea2cca6291b143da4
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
The abiotic factors via moisture and temperature play the most important role in the growth and development of soil microarthropods. Here we examined the seasonal distribution of the soil microarthropod communities in the Reaumuria soongorica shrubla
Externí odkaz:
https://doaj.org/article/66c800dec17240ed9c34d10f0b956f11
Publikováno v:
Dianxin kexue, Vol 35, Pp 24-32 (2019)
The development of optical fiber communication system was reviewed and the demand and possible solutions of optical fiber communication technology in the next 20 years were introduced by reviewing the development of optical fiber communication system
Externí odkaz:
https://doaj.org/article/3b98501d888041379a8fe7f070add161
A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation
Autor:
Xinlei He, Tongren Xu, Youlong Xia, Sayed M. Bateni, Zhixia Guo, Shaomin Liu, Kebiao Mao, Yuan Zhang, Huaize Feng, Jingxue Zhao
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 878 (2020)
In this study, a Bayesian-based three-cornered hat (BTCH) method is developed to improve the estimation of terrestrial evapotranspiration (ET) by integrating multisource ET products without using any a priori knowledge. Ten long-term (30 years) gridd
Externí odkaz:
https://doaj.org/article/3af846b9d8ac4120a510d4bfd072d454
Autor:
Jin Liu, Linna Chai, Zheng Lu, Shaomin Liu, Yuquan Qu, Deyuan Geng, Yongze Song, Yabing Guan, Zhixia Guo, Jian Wang, Zhongli Zhu
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 792 (2019)
High-quality and long time-series soil moisture (SM) data are increasingly required for the Qinghai-Tibet Plateau (QTP) to more accurately and effectively assess climate change. In this study, to evaluate the accuracy and effectiveness of SM data, fi
Externí odkaz:
https://doaj.org/article/348fe7c60b0347369fd7baa1a7c4d56c
Autor:
Yuquan Qu, Zhongli Zhu, Linna Chai, Shaomin Liu, Carsten Montzka, Jin Liu, Xiaofan Yang, Zheng Lu, Rui Jin, Xiang Li, Zhixia Guo, Jie Zheng
Publikováno v:
Remote Sensing, Vol 11, Iss 6, p 683 (2019)
Time series of soil moisture (SM) data in the Qinghai–Tibet plateau (QTP) covering a period longer than one decade are important for understanding the dynamics of land surface–atmosphere feedbacks in the global climate system. However, most exist
Externí odkaz:
https://doaj.org/article/29d05761edd04d34a1137f9fb2cab946
Publikováno v:
Third International Conference on Machine Learning and Computer Application (ICMLCA 2022).
Publikováno v:
Third International Conference on Computer Vision and Data Mining (ICCVDM 2022).
Publikováno v:
Polish Journal of Ecology. 69
Publikováno v:
Science of The Total Environment. 829:154631
Shrub afforestation is an effective way for restoration of soil communities and desertification control in desertified regions. However, little is unknown about how heterogeneous textured soils influence the effectiveness of shrub afforestation on th