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Disambiguation of "Ismail, Riyad"

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Predicting Thaumastocoris peregrinus damage using narrow band normalized indices and hyperspectral indices using field spectra resampled to the Hyperion sensor.

, , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)

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Riyad Bisharat

Riyad Manasreh

Riyad Hamadeh

Riyad Awwad

Riyad Khartabil

 

Other publications of authors with the same name

Field Spectrometry of Papyrus Vegetation (Cyperus papyrus L.) in Swamp Wetlands of St Lucia, South Africa., , , and . IGARSS (4), page 260-263. IEEE, (2009)Investigating the Capability of Few Strategically Placed Worldview-2 Multispectral Bands to Discriminate Forest Species in KwaZulu-Natal, South Africa., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (1): 307-316 (2014)Estimating Swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares (PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms., , , , , and . Comput. Electron. Agric., (2017)Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa., , , , and . Remote. Sens., 11 (3): 278 (2019)Determining the susceptibility of Eucalyptus nitens forests to Coryphodema tristis (cossid moth) occurrence in Mpumalanga, South Africa., , and . Int. J. Geogr. Inf. Sci., 27 (10): 1924-1938 (2013)A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa., and . Int. J. Appl. Earth Obs. Geoinformation, 12 (Supplement-1): S45-S51 (2010)Discriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks., and . IGARSS, page 3371-3374. IEEE, (2012)Modeling the Potential Distribution of Pine Forests Susceptible to Sirex Noctilio Infestations in Mpumalanga, South Africa., , and . Trans. GIS, 14 (5): 709-726 (2010)Unsupervised anomaly weed detection in riparian forest areas using hyperspectral data and LiDAR., , , and . WHISPERS, page 1-5. IEEE, (2016)Using Boruta-Selected Spectroscopic Wavebands for the Asymptomatic Detection of Fusarium Circinatum Stress., and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (9): 3764-3772 (2014)