Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yinyi Cheng"'
Autor:
Haotian Cui, Yonglong Lu, Yunqiao Zhou, Guizhen He, Shuai Song, Shengjie Yang, Rui Wang, Siyu Wang, Guoxiang Han, Xiaojie Yi, Di Du, Nils Chr. Stenseth, Dag O. Hessen, Deliang Chen, Yinyi Cheng
Publikováno v:
iScience, Vol 26, Iss 1, Pp 105792- (2023)
Summary: The flourishing logistics in both developed and emerging economies leads to huge greenhouse gas (GHG) emissions; however, the emission fluxes are poorly constrained. Here, we constructed a spatial network of logistic GHG emissions based on m
Externí odkaz:
https://doaj.org/article/634038e9ef214b67954df09f90581996
Autor:
Yinyi Cheng, Kefa Zhou, Jinlin Wang, Shichao Cui, Jining Yan, Philippe De Maeyer, Tim Van de Voorde
Publikováno v:
Ecological Indicators, Vol 145, Iss , Pp 109585- (2022)
With the increasing maturity of big data technology, its application in the field of environmental assessment has become an important issue. The mining of mineral resource can affect the balance in the ecological environment surrounding mining areas
Externí odkaz:
https://doaj.org/article/b1d49044baf447818d835e1456bb27d6
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Whether to trust or distrust another individual is a complex interpersonal challenge, especially when such individuals behave inconsistently. It is still unclear as to how individuals learn and adapt to fluctuations in the trustworthiness of others a
Externí odkaz:
https://doaj.org/article/e0e8a5c3b89345b9920996eea89fdeea
Autor:
Yinyi Cheng, Kefa Zhou, Jinlin Wang, Philippe De Maeyer, Tim Van de Voorde, Jining Yan, Shichao Cui
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3208 (2021)
The spatial calculation of vector data is crucial for geochemical analysis in geological big data. However, large volumes of geochemical data make for inefficient management. Therefore, this study proposed a shapefile storage method based on MongoDB
Externí odkaz:
https://doaj.org/article/22a2c7431e87482bbbfc1eb691f3b15b
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 972 (2020)
The arrival of the era of big data for Earth observation (EO) indicates that traditional data management models have been unable to meet the needs of remote sensing data in big data environments. With the launch of the first remote sensing satellite,
Externí odkaz:
https://doaj.org/article/18ca9711837c4d0ca721709888998ae5
Publikováno v:
Water, Vol 10, Iss 11, p 1514 (2018)
Snowfall over mountainous areas not only has important implications on the water cycle and the Earth’s radiation balance, but also causes potentially hazardous weather. However, snowfall detection remains one of the most difficult problems in moder
Externí odkaz:
https://doaj.org/article/09f1e8f78cce46cf83882580ffa17af6
Autor:
Yinyi Cheng, Kefa Zhou, Jinlin Wang, Shichao Cui, Jining Yan, Philippe De Maeyer, Tim Van de Voorde
With the increasing maturity of big data technology, its application in the field of environmental assessment has become an important issue. The mining of mineral resource can affect the balance in the ecological environment surrounding mining areas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8401288946ecbcdb63ba99088bed186b
https://doi.org/10.1016/j.ecolind.2022.109585
https://doi.org/10.1016/j.ecolind.2022.109585
Publikováno v:
Journal of Arid Land. 13:1287-1298
Publikováno v:
Journal of Arid Land. 13:1183-1198
With the increase of exploration depth, it is more and more difficult to find Au deposits. Due to the limitation of time and cost, traditional geological exploration methods are becoming increasingly difficult to be effectively applied. Thus, new met
Publikováno v:
Natural Resources Research. 30:2715-2731
Remote sensing phytochemistry has been proven by many studies to be an effective method for the detection of hidden minerals in vegetation-covered areas. In this study, we determined whether Seriphidium terrae-albae, a small shrub distributed widely