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Nitesh Poona

Observed names: Nitesh K Poona, Nitesh K. Poona, Nitesh Keshavelal Poona, Poona NK, Poona Nk
ORCID: 0000-0001-9369-4926
Observed ORCID: 0000-0001-9369-4926
OpenAlex ID: A5035012308
Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning
2018 · Kyle Loggenberg, Albert Strever, et al. · Remote Sensing · 161
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Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data
2016 · Nitesh Keshavelal Poona, Adriaan van Niekerk, et al. · Applied Spectroscopy · 58
A Synthesizing Land-cover Classification Method Based on Google Earth Engine: A Case Study in Nzhelele and Levhuvu Catchments, South Africa
2020 · Hongwei Zeng, Bingfang Wu, et al. · Chinese Geographical Science · 50
Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation
2019 · Chris Hacking, Nitesh Poona, et al. · Sensors · 49
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Using Boruta-Selected Spectroscopic Wavebands for the Asymptomatic Detection of Fusarium Circinatum Stress
2014 · Nitesh K. Poona, Riyad Ismail · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 34
The use of synthetic aperture radar technology for crop biomass monitoring: A systematic review
2023 · Mikka Parag, Romano Lottering, et al. · Remote Sensing Applications Society and Environment · 24
Discriminating the occurrence of pitch canker fungus inPinus radiatatrees using QuickBird imagery and artificial neural networks
2013 · Nitesh K Poona, Riyad Ismail · Southern Forests a Journal of Forest Science · 23
Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data
2016 · Nitesh Poona, Adriaan Van Niekerk, et al. · Sensors · 22
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Survey of Community Livelihoods and Landscape Change along the Nzhelele and Levuvhu River Catchments in Limpopo Province, South Africa
2020 · Walter Musakwa, Shuai Wang, et al. · Land · 15
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Vineyard yield estimation using 2-D proximal sensing: a multitemporal approach
2020 · Chris Hacking, Nitesh Poona, et al. · OENO One · 14
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Reducing hyperspectral data dimensionality using random forest based wrappers
2013 · Nitesh K Poona, Riyad Ismail · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 10
Invasive alien plant species in South Africa: impacts and management options
2008 · Nitesh Poona · Alternation eBooks · 10
A feature selection approach for terrestrial hyperspectral image analysis
2022 · Kyle Loggenberg, Nitesh Poona · South African Journal of Geomatics · 8
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Modelling forest canopy gaps using LiDAR-derived variables
2017 · Leighton Lombard, Riyad Ismail, et al. · Geocarto International · 7
Developing optimized spectral indices using machine learning to model Fusarium circinatum stress in Pinus radiata seedlings
2019 · Nitesh K. Poona, Riyad Ismail · Journal of Applied Remote Sensing · 6
Accuracy assessment of game-based crowdsourced land-use/land cover image classification
2014 · Theodor Pistorius, Nitesh Poona · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 6
Discriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks
2012 · Nitesh K Poona, Riyad Ismail · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 6
Modelling forest species using LiDar-derived metrics of forest canopy gaps
2022 · Leighton Lombard, Riyad Ismail, et al. · South African Journal of Geomatics · 4
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Discriminating the early stages of Fusarium circinatum infection in Pinus radiata seedlings using high spectral resolution data
2012 · Poona Nk, Riyad Ismail · SUNScholar (Stellenbosch University) · 1
A remote sensing-machine learning framework for modelling forest health
2020 · Nitesh Poona · SUNScholar (Stellenbosch University)
Works count: 21
Citation count: 508
H-index: 10
I10-index: 12
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