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Riyad Ismail
Riyad Ismail
sappi
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Title
Cited by
Cited by
Year
Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data
EM Abdel-Rahman, FB Ahmed, R Ismail
International Journal of Remote Sensing 34 (2), 712-728, 2013
2472013
Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
EM Abdel-Rahman, O Mutanga, E Adam, R Ismail
ISPRS Journal of Photogrammetry and Remote Sensing 88, 48-59, 2014
2002014
Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa
KY Peerbhay, O Mutanga, R Ismail
ISPRS Journal of Photogrammetry and Remote Sensing 79, 19-28, 2013
1712013
Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP
EM Adam, O Mutanga, D Rugege, R Ismail
International Journal of Remote Sensing 33 (2), 552-569, 2012
1562012
Intra-and-inter species biomass prediction in a plantation forest: testing the utility of high spatial resolution spaceborne multispectral rapideye sensor and advanced machine …
T Dube, O Mutanga, E Adam, R Ismail
Sensors 14 (8), 15348-15370, 2014
1442014
A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa
R Ismail, O Mutanga
International Journal of Applied Earth Observation and Geoinformation 12 …, 2010
1402010
Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression
E Adam, O Mutanga, EM Abdel-Rahman, R Ismail
International Journal of Remote Sensing 35 (2), 693-714, 2014
1252014
A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data
EM Abdel-Rahman, O Mutanga, J Odindi, E Adam, A Odindo, R Ismail
Computers and Electronics in Agriculture 106, 11-19, 2014
1032014
Random Forests Unsupervised Classification: The Detection and Mapping of Solanum mauritianum Infestations in Plantation Forestry Using Hyperspectral Data
KY Peerbhay, O Mutanga, R Ismail
Selected Topics in Applied Earth Observations and Remote Sensing 8 (6), 3107 …, 2015
922015
Investigating the Capability of Few Strategically Placed Worldview-2 Multispectral Bands to Discriminate Forest Species in KwaZulu-Natal, South Africa
KY Peerbhay, O Mutanga, R Ismail
Selected Topics in Applied Earth Observations and Remote Sensing 7 (1), 307 …, 2014
862014
Mapping Solanum mauritianum plant invasions using WorldView-2 imagery and unsupervised random forests
K Peerbhay, O Mutanga, R Lottering, R Ismail
Remote Sensing of Environment 182, 39-48, 2016
812016
Quantifying aboveground biomass in African environments: A review of the trade-offs between sensor estimation accuracy and costs
R Dube, T, Mutanga, O, and Ismail
Tropical Ecology 57 (3), 393-405, 2016
722016
Mapping forest aboveground biomass in the reforested Buffelsdraai landfill site using texture combinations computed from SPOT-6 pan-sharpened imagery
ST Hlatshwayo, O Mutanga, RT Lottering, Z Kiala, R Ismail
International Journal of Applied Earth Observation and Geoinformation 74, 65-77, 2019
622019
Mapping Bugweed (Solanum mauritianum) Infestations in Pinus patula Plantations Using Hyperspectral Imagery and Support Vector Machines
JT Atkinson, R Ismail, M Robertson
Selected Topics in Applied Earth Observations and Remote Sensing 7 (1), 17 - 28, 2014
622014
Predicting Eucalyptus spp. stand volume in Zululand, South Africa: an analysis using a stochastic gradient boosting regression ensemble with multi-source data sets
T Dube, O Mutanga, EM Abdel-Rahman, R Ismail, R Slotow
International Journal of Remote Sensing 36 (14), 3751-3772, 2015
602015
Modeling the Potential Distribution of Pine Forests Susceptible to Sirex Noctilio Infestations in Mpumalanga, South Africa
R Ismail, O Mutanga, L Kumar
Transactions in GIS 14 (5), 709-726, 2010
592010
Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification
C Adjorlolo, O Mutanga, MA Cho, R Ismail
International Journal of Applied Earth Observation and Geoinformation, 2012
582012
Random forest (RF) wrappers for waveband selection and classification of hyperspectral data
NK Poona, A Van Niekerk, RL Nadel, R Ismail
Applied spectroscopy 70 (2), 322-333, 2016
562016
Challenges and opportunities in the use of remote sensing for C3 and C4 grass species discrimination and mapping
C Adjorlolo, O Mutanga, MA Cho, R Ismail
African Journal of Range & Forage Science 29 (2), 47-61, 2012
552012
Forest health and vitality: the detection and monitoring of Pinus patula trees infected by Sirex noctilio using digital multispectral imagery
R Ismail, O Mutanga, U Bob
Southern Hemisphere Forestry Journal 69 (1), 39-47, 2007
532007
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Articles 1–20