Search Results - "Ismail, Riyad"

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  1. 1

    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 by Dube, Timothy, Mutanga, Onisimo, Elhadi, Adam, Ismail, Riyad

    Published in Sensors (Basel, Switzerland) (20-08-2014)
    “…The quantification of aboveground biomass using remote sensing is critical for better understanding the role of forests in carbon sequestration and for…”
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    Journal Article
  2. 2

    Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data by Abdel-Rahman, Elfatih M., Ahmed, Fethi B., Ismail, Riyad

    Published in International journal of remote sensing (20-01-2013)
    “…Nitrogen (N) is one of the most important limiting nutrients for sugarcane production. Conventionally, sugarcane N concentration is examined using direct…”
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    Journal Article
  3. 3

    Drought Influence on Forest Plantations in Zululand, South Africa, Using MODIS Time Series and Climate Data by Sifiso Xulu, Kabir Peerbhay, Michael Gebreslasie, Riyad Ismail

    Published in Forests (30-08-2018)
    “…South Africa has a long history of recurrent droughts that have adversely affected its economic performance. The recent 2015 drought has been declared the most…”
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  4. 4

    Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data by Poona, Nitesh Keshavelal, van Niekerk, Adriaan, Nadel, Ryan Leslie, Ismail, Riyad

    Published in Applied spectroscopy (01-02-2016)
    “…Hyperspectral data collected using a field spectroradiometer was used to model asymptomatic stress in Pinus radiata and Pinus patula seedlings infected with…”
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  5. 5

    Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data by Poona, Nitesh, van Niekerk, Adriaan, Ismail, Riyad

    Published in Sensors (Basel, Switzerland) (15-11-2016)
    “…Ensemble classifiers are being widely used for the classification of spectroscopic data. In this regard, the random forest (RF) ensemble has been successfully…”
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  6. 6

    Estimating soil organic carbon stocks under commercial forestry using topo-climate variables in KwaZulu-Natal, South Africa by Peerbhay, Kabir, Dovey, Steven, Ismail, Riyad, Odebiri, Omosalewa, Mutanga, Onisimo, Odindi, John

    Published in South African Journal of Science (01-03-2020)
    “…Commercial forests are expanding globally, with great potential to absorb carbon and mitigate climate change. However, whereas the role of natural forests in…”
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  7. 7

    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 by Abdel-Rahman, Elfatih M., Mutanga, Onisimo, Odindi, John, Adam, Elhadi, Odindo, Alfred, Ismail, Riyad

    Published in Computers and electronics in agriculture (01-08-2014)
    “…•Swiss chard yield was predicted under trial conditions using hyperspectral data.•Partial least squares (PLS) and sparse PLS regressions performance was…”
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  8. 8

    Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa by Kumbula, Samuel, Mafongoya, Paramu, Peerbhay, Kabir, Lottering, Romano, Ismail, Riyad

    Published in Remote sensing (Basel, Switzerland) (01-02-2019)
    “…Coryphodema tristis is a wood-boring insect, indigenous to South Africa, that has recently been identified as an emerging pest feeding on Eucalyptus nitens,…”
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    Journal Article
  9. 9

    Unsupervised Clustering of Forest Response to Drought Stress in Zululand Region, South Africa by Sifiso Xulu, Kabir Peerbhay, Michael Gebreslasie, Riyad Ismail

    Published in Forests (2019)
    “…Drought limits the production of plantation forests, notably in the drought-prone Zululand region of South Africa. During the last 40 years, the country has…”
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    Journal Article
  10. 10

    Modeling the Potential Distribution of Pine Forests Susceptible to Sirex Noctilio Infestations in Mpumalanga, South Africa by Ismail, Riyad, Mutanga, Onisimo, Kumar, Lalit

    Published in Transactions in GIS (01-10-2010)
    “…Reducing the impact of the siricid wasp, Sirex noctilio is crucial for the future productivity and sustainability of commercial pine resources in South Africa…”
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    Journal Article
  11. 11

    The Impact of Simulated Spectral Noise on Random Forest and Oblique Random Forest Classification Performance by Ismail, Riyad, Peerbhay, Kabir, Mutanga, Onisimo, Agjee, Na’eem Hoosen

    Published in Journal of spectroscopy (Hindawi) (01-01-2018)
    “…Hyperspectral datasets contain spectral noise, the presence of which adversely affects the classifier performance to generalize accurately. Despite machine…”
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  12. 12

    A Comparison of Regression Tree Approaches to Modelling the Efficacy of Water Hyacinth Biocontrol Using Multitemporal Spectral Datasets by Ismail, Riyad, Gebreselasie, Michael, Mutanga, Onisimo, Agjee, Na’eem Hoosen

    Published in Journal of spectroscopy (Hindawi) (01-01-2018)
    “…Water hyacinth (Eichhornia crassipes) is an exotic plant species that is effectively controlled by Neochetina spp. weevils. This study is aimed at determining…”
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  13. 13

    Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression by Adam, Elhadi, Mutanga, Onisimo, Abdel-Rahman, Elfatih M., Ismail, Riyad

    Published in International journal of remote sensing (17-01-2014)
    “…Accurate estimates of papyrus (Cyperus papyrus) biomass are critical for an efficient papyrus swamp monitoring and management system. The objective of this…”
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  14. 14

    Mapping Solanum mauritianum plant invasions using WorldView-2 imagery and unsupervised random forests by Peerbhay, Kabir, Mutanga, Onisimo, Lottering, Romano, Ismail, Riyad

    Published in Remote sensing of environment (01-09-2016)
    “…The accurate detection and mapping of plant invasions is important for an effective weed management strategy in forest plantations. In this study, the utility…”
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  15. 15

    Random Forests Unsupervised Classification: The Detection and Mapping of Solanum mauritianum Infestations in Plantation Forestry Using Hyperspectral Data by Peerbhay, Kabir Yunus, Mutanga, Onisimo, Ismail, Riyad

    “…Detecting and mapping plant invaders using hyperspectral remote sensing is necessary in mitigating the extensive ecologic and economic damage these alien…”
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  16. 16

    Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa by Peerbhay, Kabir Yunus, Mutanga, Onisimo, Ismail, Riyad

    “…Discriminating commercial tree species using hyperspectral remote sensing techniques is critical in monitoring the spatial distributions and compositions of…”
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  17. 17

    Investigating the Capability of Few Strategically Placed Worldview-2 Multispectral Bands to Discriminate Forest Species in KwaZulu-Natal, South Africa by Peerbhay, Kabir Yunus, Mutanga, Onisimo, Ismail, Riyad

    “…WorldView-2 multispectral wavebands (8 wavebands; 427-908 nm spectral range; 2 m spatial resolution) were utilized to classify six commercial forest species…”
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  18. 18

    Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers by Abdel-Rahman, Elfatih M., Mutanga, Onisimo, Adam, Elhadi, Ismail, Riyad

    “…•Sirex grey- and lightning-damaged pine snags were distinguished.•The performance of random forest and support vector machines classifiers was compared.•The…”
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  19. 19

    Using Boruta-Selected Spectroscopic Wavebands for the Asymptomatic Detection of Fusarium Circinatum Stress by Poona, Nitesh K., Ismail, Riyad

    “…High spectral resolution multitemporal data were used to model asymptomatic stress caused by Fusarium circinatum in 3-month old Pinus radiata seedlings. The…”
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  20. 20

    Detecting bugweed (Solanum mauritianum) abundance in plantation forestry using multisource remote sensing by Peerbhay, Kabir, Mutanga, Onisimo, Lottering, Romano, Bangamwabo, Victor, Ismail, Riyad

    “…The invasive weed Solanum mauritianum (bugweed) has infested large areas of plantation forests in KwaZulu-Natal, South Africa. Bugweed often forms dense…”
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