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pro vyhledávání: '"Ismail, Riyad"'
Autor:
Ismail, Riyad.
Thesis (Doctor of Phil.) - University of KwaZulu-Natal, Pietermaritzburg, 2008.
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Full text also available online. Scroll down for electronic link.
Externí odkaz:
http://hdl.handle.net/10413/417
Autor:
Hlatshwayo, Sizwe Thamsanqa, Mutanga, Onisimo, Lottering, Romano T., Kiala, Zolo, Ismail, Riyad
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation February 2019 74:65-77
Publikováno v:
In Atmospheric Pollution Research July 2017 8(4):729-740
Autor:
Abdel-Rahman, Elfatih M., Mutanga, Onisimo, Odindi, John, Adam, Elhadi, Odindo, Alfred, Ismail, Riyad
Publikováno v:
In Computers and Electronics in Agriculture January 2017 132:21-33
Publikováno v:
South African Journal of Geomatics; Vol. 9 No. 1 (2020); 31-43
LiDAR intensity and texture features have reported high accuracies for discriminating forest species, particularly with the utility of the random forest (RF) algorithm. To date, limited studies has utilized LiDAR-derived forest gap information to ass
Publikováno v:
South African Journal of Geomatics; Vol. 9 No. 2 (2020); 118-135
Accurate multi-source forest inventory attributes are necessary for estimating productivity and timber stock in commercial forest plantations. This study aims to uncover the effects of terrain variation on the growth of even aged Eucalyptus forest sp
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing November 2016 121:167-176
Publikováno v:
In Remote Sensing of Environment 1 September 2016 182:39-48
Autor:
Abdel-Rahman, Elfatih M., Mutanga, Onisimo, Odindi, John, Adam, Elhadi, Odindo, Alfred, Ismail, Riyad
Publikováno v:
In Computers and Electronics in Agriculture August 2014 106:11-19
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing February 2014 88:48-59