Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Zhonglin Ji"'
Autor:
Eshetu Shifaw, Jinming Sha, Xiaomei Li, Peng Zhao, Jianwan Ji, Hao Zhang, Ashenafi Yimam Kassaye, Shuhui Lai, Zhonglin Ji, Yusheng Yang
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 57, Iss , Pp 102102- (2025)
Study region: Upper Blue Nile Basin, the largest in Ethiopia in terms of annual water runoff and soil loss. Study focus: A new framework for identifying soil conservation priority areas has been proposed. Existing methods often focus solely on soil l
Externí odkaz:
https://doaj.org/article/932fa1a7a8134d2aad4e494d88292fa7
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 39 (2023)
Ponds constitute a pivotal component of aquatic ecosystems. The aquatic ecosystem of the Huai River Basin (HRB) in China was once damaged by severe pollution, and numerous ponds in the basin have not been secured. In this paper, Shenqiu County, a typ
Externí odkaz:
https://doaj.org/article/220e86151e784440879430fa78c2724d
Publikováno v:
Ecological Indicators, Vol 137, Iss , Pp 108759- (2022)
Convenient and reliable large-scale crop yield prediction is needed when formulating administrative plans and ensuring food security, especially under changing climate and international conditions. In this study, we explored Moderate Resolution Imagi
Externí odkaz:
https://doaj.org/article/814ecf52f4134fbfb589187e44715339
Publikováno v:
Agriculture, Vol 12, Iss 8, p 1263 (2022)
The reliable prediction of corn yield for the United States of America is essential for effective food and energy management of the world. Three satellite-derived variables were selected, namely enhanced vegetation index (EVI), leaf area index (LAI)
Externí odkaz:
https://doaj.org/article/37dd628b0236453f8b656ba931b145a1
Publikováno v:
Sensors, Vol 21, Iss 4, p 1406 (2021)
Phenology is an indicator of crop growth conditions, and is correlated with crop yields. In this study, a phenological approach based on a remote sensing vegetation index was explored to predict the yield in 314 counties within the US Corn Belt, divi
Externí odkaz:
https://doaj.org/article/21364c0e015e4cf3a397c9ad724121cd
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
Yanlian Xiong, Yaru Si, Rengui Quan, Xingyu Huo, Juntong Chen, Jinyu Xu, Zhonglin Jiang, Feibo Xu, Ranran Liu, Qiang Fu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Premature ovarian insufficiency (POI), a major cause of female infertility, is defined as follicular atresia and a rapid loss of germ cells in women of reproductive age due to ovarian failure. Recently, findings from several studies have ind
Externí odkaz:
https://doaj.org/article/c9dce9e1b40f4f8b806a28f5c48cf6e5
Publikováno v:
IEEE Sensors Journal. 21:207-212
Smart sensors are needed to achieve a more intelligent aero-engine. The thin-film sensor array is thereby fabricated on the turbine blade surface using MEMS technology to measure the surface temperature distribution for the first time. A series of Pt
Publikováno v:
IEEE Sensors Journal. 20:12679-12683
High temperature measurement of the rotating parts in aero-engine system requires wireless passive sensors. Surface acoustic wave (SAW) devices capable of measuring high temperature wirelessly are therefore ideal for these extreme scenarios where wir
Publikováno v:
AIAA Journal. 58:1441-1445
Integrated thin-film sensors to measure the vane’s surface temperature are necessary for more efficient and smarter aeroengines. In this paper, a thin-film platinum/rhodioplatinum sensor array was ...