Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Jinjie WANG"'
Autor:
Shaoxiong Xu, Wenjiang Huang, Dacheng Wang, Biyao Zhang, Hong Sun, Jiayu Yan, Jianli Ding, Jinjie Wang, Qiuli Yang, Tiecheng Huang, Xu Ma, Longlong Zhao, Zhuoqun Du
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102846- (2024)
The pine wilt disease (PWD) can cause destructive death to pine trees in a short period. Utilizing unmanned aerial vehicle (UAV) remote sensing technology to promptly identify PWD-infected trees has become an effective and feasible method for precise
Externí odkaz:
https://doaj.org/article/748705db3c404a829f6acec04cad0a57
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Soil salinization represents a significant challenge to the ecological environment in arid areas, and digital mapping of soil salinization as well as exploration of its spatial heterogeneity with crop growth have important implications for national f
Externí odkaz:
https://doaj.org/article/075f08745c7c4fbea7a8bdd5077bec24
Autor:
Hezhen Lou, Yunmeng Dai, Shengtian Yang, Jiekang Li, Sihan Liu, JianLi Ding, Huaixing Wang, Hao Li, Jinjie Wang
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112249- (2024)
The water delivery capacity of Karez is gradually declining, and it is possible that such a traditional water supply systems might be completely replaced by modern water conservancy projects. To determine whether these ancient water conservancy proje
Externí odkaz:
https://doaj.org/article/74a50dd995824350901bcb7c9fea95aa
Publikováno v:
Land, Vol 13, Iss 11, p 1854 (2024)
Research on the carrying capacity of land resources and their outputs to population size will be able to better serve the ecological governance of food security. This paper analyzes the population carrying capacity level of southern Xinjiang by using
Externí odkaz:
https://doaj.org/article/7adb2c14bb06435793c983b0864ee826
Autor:
Fengying Wei, Ruiyang Zhou, Zhen Jin, Senzhong Huang, Zhihang Peng, Jinjie Wang, Ximing Xu, Xinyan Zhang, Jun Xu, Yao Bai, Xiaoli Wang, Bulai Lu, Zhaojun Wang, Jianguo Xu
Publikováno v:
Infectious Disease Modelling, Vol 8, Iss 4, Pp 1050-1062 (2023)
Background: A COVID-19 outbreak in the rural areas of Shijiazhuang City was attributed to the complex interactions among vaccination, host, and non-pharmaceutical interventions (NPIs). Herein, we investigated the epidemiological characteristics of al
Externí odkaz:
https://doaj.org/article/9719bf3e501b47d1a924c2ecb92309ec
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3421 (2024)
Monitoring soil salinity with remote sensing is difficult, but knowing the link between saline soil surface spectra, soil water, and salt transport processes might help in modeling for soil salinity monitoring. In this study, we used an indoor soil c
Externí odkaz:
https://doaj.org/article/6cb02ac25c714a5792d28446efc85240
Autor:
Xiang Li, Zijie Pang, Feihu Xue, Jianli Ding, Jinjie Wang, Tongren Xu, Ziwei Xu, Yanfei Ma, Yuan Zhang, Jinlong Shi
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2696 (2024)
The validation of remotely sensed evapotranspiration (ET) products is important for the development of ET estimation models and the accuracy of the scientific application of the products. In this study, different ET products such as HiTLL, MOD16A2, E
Externí odkaz:
https://doaj.org/article/898a677da4234ee4a0a7f593dbb14a2f
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 43, Iss 4, Pp 489-496 (2023)
Spherical and whisker-like cobalt particles were doped into the diamond powders to synthesize the PDC compacts under the HPHT conditions, to investigate the effect of their morphology on the properties of PDC. It was found that the two morphologies o
Externí odkaz:
https://doaj.org/article/97a0a9fc0aa446df83ad2c646b581c37
Autor:
Xiang Li, Feihu Xue, Jianli Ding, Tongren Xu, Lisheng Song, Zijie Pang, Jinjie Wang, Ziwei Xu, Yanfei Ma, Zheng Lu, Dongxing Wu, Jiaxing Wei, Xinlei He, Yuan Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2143 (2024)
Accurate estimation of surface evapotranspiration (ET) in the Heihe River Basin using remote sensing data is crucial for understanding water dynamics in arid regions. In this paper, by coupling physical constraints and machine learning for hybrid mod
Externí odkaz:
https://doaj.org/article/bc1a688edb384f4f9f8c287a5815b64a
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110747- (2023)
As a typical geographic landscape unit in the arid zone of northwest China, the distribution of the thermal environment in the substratum of the desert-oasis is of great significance to the monitoring of the ecological environment and the quality of
Externí odkaz:
https://doaj.org/article/a1bc79bb733b4160a1d31ec1130309cb