Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Qiutong Yu"'
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
BackgroundWith the development of urbanization in China, the scale of internal migration and the number of immigrants among older adults are increasing. This requires paying attention to the living conditions and environment of immigrants. Many studi
Externí odkaz:
https://doaj.org/article/b1973b25601e49f5b102e038ab7b9e31
Autor:
Qiutong Yu, Genyong Zuo
Publikováno v:
BMJ Open, Vol 12, Iss 6 (2022)
Externí odkaz:
https://doaj.org/article/eca658900c8a47a89f6ba02596adb3df
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102404- (2021)
Terrestrial water storage (TWS) is an essential part of the global water cycle. Long-term information of observed and modeled TWS is fundamental to analyze water resources, meteorological extreme events (e.g., droughts and floods), and the climate ch
Externí odkaz:
https://doaj.org/article/77c78ce42ccc435ba14c8420a9a41d79
Publikováno v:
Hydrology & Earth System Sciences Discussions; 11/3/2023, p1-23, 23p
Autor:
Qiutong Yu, Genyong Zuo
Publikováno v:
Environmental Science and Pollution Research. 29:53444-53455
Indoor air pollution caused by solid fuel use for cooking affects 2.5 billion people worldwide and may elevate blood pressure (BP) and increase the burden of hypertension. Although the elderly are the most at risk of an elevated BP and hypertension,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a4b4162adc1ede9d1a8cc4be8a1c7ff
https://doi.org/10.1007/s11356-022-19612-1
https://doi.org/10.1007/s11356-022-19612-1
Background:Poor sleep quality and depression are two risk factors for the health of the older adults. Researches on the effects of long-time use of solid fuels in house on sleep quality and depression in the older adults were insufficient and had inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26504e96420fb751fe758c4a204c84e6
https://doi.org/10.21203/rs.3.rs-2014903/v1
https://doi.org/10.21203/rs.3.rs-2014903/v1
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 87:405-412
Multispectral satellite imagery is the primary data source for monitoring land cover change and characterizing land cover globally. However, the consistency of land cover monitoring is limited by the spatial and temporal resolutions of the acquired s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5ff29a5dbe10cd55644088c793995a
https://doi.org/10.14358/pers.87.6.405
https://doi.org/10.14358/pers.87.6.405
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 85-89 (2020)
Multispectral satellite imagery is the primary data source for monitoring land cover change and characterizing land cover at the global scale. However, the accuracy of land cover classification is often constrained by the spatial and temporal resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::979e33b9ef387f8ee5de0a3abaa86227
https://doi.org/10.5194/isprs-archives-xliii-b1-2020-85-2020
https://doi.org/10.5194/isprs-archives-xliii-b1-2020-85-2020
Autor:
Qiutong Yu, Genyong Zuo
Indoor air pollution caused by solid fuel cooking use affects 2.5 billion people worldwide and may elevate blood pressure (BP) and increase the burden of hypertension. Although the elderly are the most at risk of elevated BP and hypertension, few stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f141fa73fdebd1fd06f867bdb3dbf2
https://doi.org/10.21203/rs.3.rs-1166654/v1
https://doi.org/10.21203/rs.3.rs-1166654/v1
Autor:
Zhehan Zhang, Kun Zhao, Sarah Narges Fatholahi, Junbo Wang, Liyuan Qing, Hasti Andon Petrosians, Bingxu Hu, Hongjie He, Jonathan Li, Ke Yang, Siyu Li, Qiutong Yu, Kyle Gao, Zijian Jiang, Hongzhang Xu, Yuwei Cai, Linlin Xu, Yan Liu
Publikováno v:
IGARSS
Building rooftop data are of importance in several urban applications and in natural disaster management. In contrast to traditional surveying and mapping, by using high spatial resolution aerial images, deep learning-based building rooftops extracti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb701d40108c8a26390d679bb424b8ee