Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Haijun Luan"'
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Rapid urbanization has placed the sustainable development of some watershed ecosystems in jeopardy. In order to achieve sustainable urban development, it is vital to identify the coupling mechanisms between urbanization and the ecological environment
Externí odkaz:
https://doaj.org/article/36b22547542a4f4ab4cbd629a32937f6
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4349 (2023)
The optimal selection of characteristic bands and retrieval models for the hyperspectral retrieval of soil heavy metal concentrations poses a significant challenge. Additionally, satellite-based hyperspectral retrieval encounters several issues, incl
Externí odkaz:
https://doaj.org/article/97fb5d425902425fb433f6fa9da9a678
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W10, Pp 461-470 (2020)
With the speeding up of urbanization process, ecological problems, such as unsustainable land use and environmental pollution,have emerged one after another in cites. Nowadays, green development and ecological priority are the important concepts and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe8525c5f3471537cf94b4d91bf6158
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/461/2020/isprs-archives-XLII-3-W10-461-2020.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/461/2020/isprs-archives-XLII-3-W10-461-2020.pdf
Publikováno v:
Geoinformatics and Data Analysis ISBN: 9783031080166
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bad4e65ddd0f86ab5bf944bd7e8aac9
https://doi.org/10.1007/978-3-031-08017-3_8
https://doi.org/10.1007/978-3-031-08017-3_8
Publikováno v:
Energy & Fuels. 33:6205-6214
Accurate prediction of coke yield is the basis for simulation and operation of the in situ combustion process. In view of the low asphaltene content of heavy oil in China, this study established coke yield prediction models for the pyrolysis and oxid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe7b617c062d19f1b437201f0b9f23a6
https://doi.org/10.1021/acs.energyfuels.9b01045
https://doi.org/10.1021/acs.energyfuels.9b01045
Autor:
Yong Wang, Haijun Luan, Dong Zhao, Bo Yu, Wei Zhou, Bo Dong, Liming Lian, Chuanyi Tang, Lei Zeng, Dan Zhou, Xiao Yang
Publikováno v:
Proceedings of the 2021 Asia Pacific Unconventional Resources Technology Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f944c06d5a67296caf7f06f3f46a557f
https://doi.org/10.15530/ap-urtec-2021-208326
https://doi.org/10.15530/ap-urtec-2021-208326
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811539466
The moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) product plays an important role in eco-environmental monitoring of natural disasters. However, its validation has long been an important scientifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd69ef58283012a6654aec3c23f2c43f
https://doi.org/10.1007/978-981-15-3947-3_45
https://doi.org/10.1007/978-981-15-3947-3_45
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 865:012004
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2b3131e9b1811ccd696d7314181e894
https://doi.org/10.1088/1755-1315/865/1/012004
https://doi.org/10.1088/1755-1315/865/1/012004
Autor:
Haijun Luan, Yunya Wan
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 569:012054
The MODIS normalized difference vegetation index (NDVI) product plays an important role in the eco-environmental monitoring of natural disasters. However, its validation has been a long standing and important scientific problem. The paper proposed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43046a370473fbbff802d47c61b66fb2
https://doi.org/10.1088/1755-1315/569/1/012054
https://doi.org/10.1088/1755-1315/569/1/012054