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List of works by Riyad Ismail

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

article

A comparison of selected machine learning classifiers in mapping a South African heterogeneous coastal zone: Testing the utility of an object-based classification with WorldView-2 imagery

scholarly article published 25 October 2012

Combining spectral and textural remote sensing variables using random forests: predicting the age ofPinus patulaforests in KwaZulu-Natal, South Africa

article

Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa

article by Kabir Peerbhay et al published May 2013 in ISPRS Journal of Photogrammetry and Remote Sensing

DETERMINING THE OPTIMAL SPATIAL RESOLUTION OF REMOTELY SENSED DATA FOR THE DETECTION OF SIREX NOCTILIO INFESTATIONS IN PINE PLANTATIONS IN KWAZULU-NATAL, SOUTH AFRICA

article

Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers

article by Elfatih M. Abdel-Rahman et al published February 2014 in ISPRS Journal of Photogrammetry and Remote Sensing

Detecting bugweed (Solanum mauritianum) abundance in plantation forestry using multisource remote sensing

scholarly article by Kabir Peerbhay et al published November 2016 in ISPRS Journal of Photogrammetry and Remote Sensing

Determining the susceptibility ofEucalyptus nitensforests toCoryphodema tristis(cossid moth) occurrence in Mpumalanga, South Africa

article by Elhadi Adam et al published October 2013 in International Journal of Geographical Information Science

Does simultaneous variable selection and dimension reduction improve the classification ofPinusforest species?

Drought Influence on Forest Plantations in Zululand, South Africa, Using MODIS Time Series and Climate Data

Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression

article

Examining the utility of random forest and AISA Eagle hyperspectral image data to predictPinus patulaage in KwaZulu-Natal, South Africa

Field spectrometry of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands of St Lucia, South Africa

article

Identifying relevant hyperspectral bands using Boruta: a temporal analysis of water hyacinth biocontrol

scholarly article

Intra-and-inter species biomass prediction in a plantation forest: testing the utility of high spatial resolution spaceborne multispectral RapidEye sensor and advanced machine learning algorithms

scientific article

Investigating the Capability of Few Strategically Placed Worldview-2 Multispectral Bands to Discriminate Forest Species in KwaZulu-Natal, South Africa

article

Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data

scientific article

Mapping Solanum mauritianum plant invasions using WorldView-2 imagery and unsupervised random forests

article

Modeling the Potential Distribution of Pine Forests Susceptible to Sirex Noctilio Infestations in Mpumalanga, South Africa

article

Predicting Eucalyptus spp. stand volume in Zululand, South Africa: an analysis using a stochastic gradient boosting regression ensemble with multi-source data sets

scholarly article

Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data.

scientific article

Random Forests Unsupervised Classification: The Detection and Mapping of Solanum mauritianum Infestations in Plantation Forestry Using Hyperspectral Data

scholarly article by Kabir Peerbhay et al published June 2015 in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification

Unsupervised anomaly weed detection in riparian forest areas using hyperspectral data and LiDAR