Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Yongjing Mao"'
1
Akademický článek
Predicting Ground Cover with Deep Learning Models—An Application of Spatio-Temporal Prediction Methods to Satellite-Derived Ground Cover Maps in the Great Barrier Reef Catchments
Autor: Yongjing Mao, Ryan D. R. Turner, Joseph M. McMahon, Diego F. Correa, Debbie A. Chamberlain, Michael St. J. Warne
Publikováno v: Remote Sensing, Vol 16, Iss 17, p 3193 (2024)
Livestock grazing is a major land use in the Great Barrier Reef Catchment Area (GBRCA). Heightened grazing density coupled with inadequate land management leads to accelerated soil erosion and increased sediment loads being transported downstream. Ul
Externí odkaz: https://doaj.org/article/7460d0330c5b489eb8b540b069c7585f
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2
Akademický článek
Mapping the Sandy Beach Evolution Around Seaports at the Scale of the African Continent
Autor: Wiebe de Boer, Yongjing Mao, Gerben Hagenaars, Sierd de Vries, Jill Slinger, Tiedo Vellinga
Publikováno v: Journal of Marine Science and Engineering, Vol 7, Iss 5, p 151 (2019)
In Africa, several new seaport developments are being considered. In sedimentary environments, such port developments can have adverse impacts on the evolution of adjacent coastlines. To learn from past port engineering practice, we created a unique
Externí odkaz: https://doaj.org/article/a6c6a0db23da4007910c2ffdd8fae5d4
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4
Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine
Autor: Yongjing Mao, Daniel L. Harris, Stuart R. Phinn, Zunyi Xie
Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 181:385-399
Most of the worlds’ population relies on the processes and ecosystems in the coastal zone. Understanding the long-term change of coastlines is critical for the effective management of these complex, and heavily utilised regions. There has been a re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::46c91015a530cf1d3989da400885dbcf
https://doi.org/10.1016/j.isprsjprs.2021.09.021
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7
Determining the Shoreline Retreat Rate of Australia Using Discrete and Hybrid Bayesian Networks
Autor: Yongjing Mao, Daniel L. Harris, Stuart R. Phinn, David P. Callaghan
Publikováno v: Journal of Geophysical Research: Earth Surface. 126
Evaluating shoreline retreat rate on different spatial-temporal scales is critical for effective coastal management. Large-scale evaluations typically rely on data-driven methods such as Discrete Bayesian networks (BNs). However, these BNs require di
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::760530965e0abe2bbeb82ac3250a9e4a
https://doi.org/10.1029/2021jf006112
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8
Mapping the Sandy Beach Evolution Around Seaports at the Scale of the African Continent
Autor: Gerben Hagenaars, Yongjing Mao, Sierd de Vries, Tiedo Vellinga, Wiebe P. de Boer, Jill H. Slinger
Publikováno v: Journal of Marine Science and Engineering, Vol 7, Iss 5, p 151 (2019)
Journal of Marine Science and Engineering
Volume 7
Issue 5
Journal of Marine Science and Engineering, 7(5)
In Africa, several new seaport developments are being considered. In sedimentary environments, such port developments can have adverse impacts on the evolution of adjacent coastlines. To learn from past port engineering practice, we created a unique
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ceeec97fa2a06622a88023811e4f2c1
http://resolver.tudelft.nl/uuid:3ea6e669-6f0b-4b60-8d21-fa96dec7f9c9
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