Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yuanfan Zheng"'
Publikováno v:
Energies, Vol 17, Iss 17, p 4313 (2024)
The energy demand and associated greenhouse gas (GHG) emissions of buildings are significantly affected by the characteristics of the building and local climate conditions. While energy use datasets with high spatial and temporal resolution are highl
Externí odkaz:
https://doaj.org/article/0afb76360c9b4c4ea20bf7e6af874456
Autor:
Yuanfan Zheng, Qihao Weng
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2402 (2020)
Green roofs and rooftop solar photovoltaic (PV) systems are two popular mitigation strategies to reduce the net building energy demand and ease urban heat island (UHI) effect. This research tested the potential mitigation effects of green roofs and s
Externí odkaz:
https://doaj.org/article/c7b7764f8e8a401aaf5dfd5d75d1c371
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3f4ac31ce2e9b9d8b8ef4d0ceeb3c35
https://doi.org/10.1109/igarss46834.2022.9884312
https://doi.org/10.1109/igarss46834.2022.9884312
Publikováno v:
Ecological Indicators. 104:41-47
Hyperspectral technology has equipped large-scale efforts to estimate leaf water content. In an urban environmental context, these efforts may be hampered by dust deposition on leaves. However, the influence of dust deposition on the accuracy of esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6731a2f854bd386efac17b78db9f000e
https://doi.org/10.1016/j.ecolind.2019.04.074
https://doi.org/10.1016/j.ecolind.2019.04.074
Autor:
Qihao Weng, Yuanfan Zheng
Publikováno v:
Energy. 176:641-655
Climate change affects the demands for heating and cooling in buildings. This study proposed a GIS-based approach to combine climate modeling, building energy simulation, and inventory of building characteristics to quantify climate change's effect o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dfad30d27a4a3f475be0e7cac2f9574
https://doi.org/10.1016/j.energy.2019.04.052
https://doi.org/10.1016/j.energy.2019.04.052
Autor:
Yuanfan Zheng1 yuanfanzheng@gmail.com, Qihao Weng1 qweng@indstate.edu, Yaoxing Zheng2 zhyxing6@163.com
Publikováno v:
Remote Sensing. Apr2017, Vol. 9 Issue 4, p310. 24p.
Autor:
Qihao Weng, Yuanfan Zheng
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 12:1541-1545
Data-driven and model-driven strategies are two basic approaches for building reconstruction based on LiDAR data. Due to the data noise and limitations in existing algorithms, the data-driven approach can neither construct a complete roof plane nor c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::374cc0e3414f442fc9c8a11a0fb37c57
https://doi.org/10.1109/lgrs.2015.2412535
https://doi.org/10.1109/lgrs.2015.2412535
Autor:
Qihao Weng, Yuanfan Zheng
Publikováno v:
Journal of environmental management. 206
Anthropogenic heat flux (Qf), which originates through energy consumption from buildings, industrial plants, vehicle exhausts, and human metabolism releases, is an important component in the urban Surface Energy Balance (SEB) system, and is key to un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbfd8d59169a604c74d0522060c72c4c
https://pubmed.ncbi.nlm.nih.gov/28743563
https://pubmed.ncbi.nlm.nih.gov/28743563
Publikováno v:
Remote Sensing
Volume 9
Issue 4
Pages: 310
Volume 9
Issue 4
Pages: 310
3D building models with prototypical roofs are more valuable in many applications than 2D building footprints. This research proposes a hybrid approach, combining the data- and model-driven approaches for generating LoD2-level building models by usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57948cd92e2044c64d5c867d93fdf616
Autor:
Qihao Weng, Yuanfan Zheng
Publikováno v:
2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA).
Anthropogenic heat is an important component of the urban energy budget and a major contributor to urban heat island (UHI) formation. This study estimated the anthropogenic heat discharge in Los Angeles County, USA, using remote sensing-based energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ace16d4c398f03f764115566ab47457
https://doi.org/10.1109/eorsa.2016.7552822
https://doi.org/10.1109/eorsa.2016.7552822