Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Elhadi K"'
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 1236-1258 (2022)
Land use/land cover (LULC) indices can be considered while developing land surface temperature (LST) models. The relationship between LST and LULC indices must be established to accurately estimate the impacts of LST changes. This study developed nov
Externí odkaz:
https://doaj.org/article/3048979d017144aba7c16606609dc399
Autor:
Elhadi K. Mustafa, Yungang Co, Guoxiang Liu, Mosbeh R. Kaloop, Ashraf A. Beshr, Fawzi Zarzoura, Mohammed Sadek
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
The soft computing models used for predicting land surface temperature (LST) changes are very useful to evaluate and forecast the rapidly changing climate of the world. In this study, four soft computing techniques, namely, multivariate adaptive regr
Externí odkaz:
https://doaj.org/article/60321a9d98fb47f08dab29d1ecaf47dc
Autor:
Mohammed Sadek, Xuxiang Li, Eman Mostafa, Mohamed Freeshah, Ahmed Kamal, Mohamed Adou Sidi Almouctar, Fubo Zhao, Elhadi K. Mustafa
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
Flash floods are among the most common natural hazards in Egyptian and Arabian deserts. In this work, we utilized two Sentinel-1 and Sentinel-2 satellite images, before and after the flash flood, SRTM, and geolocated terrestrial photos captured by vo
Externí odkaz:
https://doaj.org/article/40e224118ee0477eb7f9f02a6d5980ab
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Coastal Conservation. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e947cffe5630af0defad3b4db5672a7e
https://doi.org/10.1007/s11852-022-00927-7
https://doi.org/10.1007/s11852-022-00927-7
Autor:
Hassan, Abubakr1,2 (AUTHOR) bakhas@my.swjtu.edu.cn, Mustafa, Elhadi K.1,2 (AUTHOR), Mahama, Yahaya3 (AUTHOR), Damos, Mohamed A.1,2 (AUTHOR), Jiang, Zhongshan1 (AUTHOR), Zhang, Lupeng1 (AUTHOR)
Publikováno v:
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Jan2020, Vol. 45 Issue 1, p351-365. 15p.
Autor:
Mohammed Sadek, Yungang Co, Elhadi K. Mustafa, Mosbeh R. Kaloop, Fawzi Zarzoura, Ashraf A. Beshr, Guoxiang Liu
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
The soft computing models used for predicting land surface temperature (LST) changes are very useful to evaluate and forecast the rapidly changing climate of the world. In this study, four soft computing techniques, namely, multivariate adaptive regr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cec4fefb903acb2ed4a7f9134111a714
https://doi.org/10.1155/2020/7363546
https://doi.org/10.1155/2020/7363546
Publikováno v:
Journal of Geographic Information System. 12:531-544
Global warming has attracted much concern about the worldwide organization, civil society groups, researchers, and so forth because the worldwide surface temperature has been expanding. This investigation intends to assess and compare the ability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ec9dbeeeb142a2d66fae2260a68916
https://doi.org/10.4236/jgis.2020.125031
https://doi.org/10.4236/jgis.2020.125031
Publikováno v:
GeoJournal. 86:1089-1107
Increasing of global average surface temperature naturally leading to major problems as global warming, which has typically attracted the interest of multinational organizations, civil society groups and scientists in the world. The main aim of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5405318f62fa619e3c534382150c073b
https://doi.org/10.1007/s10708-019-10115-0
https://doi.org/10.1007/s10708-019-10115-0