Zobrazeno 1 - 10
of 27
pro vyhledávání: '"HAIRETI, Alifu"'
Autor:
Vasit Sagan, Roberto Coral, Sourav Bhadra, Haireti Alifu, Omar Al Akkad, Aviskar Giri, Flavio Esposito
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1584 (2024)
The potential of artificial intelligence (AI) and machine learning (ML) in agriculture for improving crop yields and reducing the use of water, fertilizers, and pesticides remains a challenge. The goal of this work was to introduce Hyperfidelis, a ge
Externí odkaz:
https://doaj.org/article/9644c84cf2174a04afcf7048f54ae412
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-6 (2022)
Abstract Human-induced climate change has increased the frequency and intensity of heavy precipitation1. Due to the complexity of runoff generation and the streamflow process, the historical impact of human-induced climate change on river flooding re
Externí odkaz:
https://doaj.org/article/098991aac4314964a93237611b340b20
Publikováno v:
Progress in Earth and Planetary Science, Vol 8, Iss 1, Pp 1-9 (2021)
Abstract The ongoing increases in anthropogenic radiative forcing have changed the global water cycle and are expected to lead to more intense precipitation extremes and associated floods. However, given the limitations of observations and model simu
Externí odkaz:
https://doaj.org/article/9f97e3aa75334184be20dc4e4dbcc969
Akademický článek
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Autor:
Yukiko Hirabayashi1, Haireti Alifu1 haireti.alifu.f4@sic.shibaura-it.ac.jp, Dai Yamazaki2, Gennadii Donchyts3, Yuki Kimura4
Publikováno v:
Hydrological Research Letters. 2021, Vol. 15 Issue 2, p37-43. 7p.
Publikováno v:
Nature Climate Change. 11:823-826
The risk of river flooding is expected to increase with climate change and socioeconomic development, and therefore additional protection measures are required to reduce the potential for increased flood damage. While studies have investigated the ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::539f5fae5c48a27c5c1bdcebe6cfc85d
https://doi.org/10.1038/s41558-021-01158-8
https://doi.org/10.1038/s41558-021-01158-8
Autor:
Jean-François Vuillaume, Haireti Alifu
Publikováno v:
Flood Handbook ISBN: 9780429463938
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aef46bb27abea67e11e38a5445ecfc5
https://doi.org/10.1201/9780429463938-5
https://doi.org/10.1201/9780429463938-5
Autor:
Haireti Alifu, Yukiko Hirabayashi, Brian Alan Johnson, Jean-Francois Vuillaume, Akihiko Kondoh, Minoru Urai
Publikováno v:
Remote Sensing, Vol 10, Iss 8, p 1166 (2018)
The Shaksgam Valley, located on the north side of the Karakoram Mountains of western China, is situated in the transition zone between the Indian monsoon system and dry arid climate zones. Previous studies have reported abnormal behaviors of the glac
Externí odkaz:
https://doaj.org/article/4d0b257a4e8f43c998094dc8a3817654
Publikováno v:
Land, Vol 6, Iss 2, p 39 (2017)
Differential Synthetic Aperture Radar Interferometry (DInSAR) is a remote sensing technique that is capable of detecting land surface deformation with centimeter accuracy. In this research, this technique was applied to two pairs of Advanced Land Obs
Externí odkaz:
https://doaj.org/article/fb0afe97f85f4d0f9ea753c6216fecf1
Publikováno v:
Hydrological Research Letters, 15(2)
Floods are major natural disasters that have considerable consequences worldwide. As the frequency and magnitude of flooding are expected to be affected by ongoing climate change, understanding their past changes is important for developing adequate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::136139ab93a1fd51181bb1db9b6648d9
http://resolver.tudelft.nl/uuid:414bd57d-a650-4269-8261-90456277d425
http://resolver.tudelft.nl/uuid:414bd57d-a650-4269-8261-90456277d425