Search Results - "Poona, Nitesh"
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1
Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning
Published in Remote sensing (Basel, Switzerland) (01-02-2018)“…The detection of water stress in vineyards plays an integral role in the sustainability of high-quality grapes and prevention of devastating crop loses…”
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Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation
Published in Sensors (Basel, Switzerland) (22-08-2019)“…Vineyard yield estimation provides the winegrower with insightful information regarding the expected yield, facilitating managerial decisions to achieve…”
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3
Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data
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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4
A Synthesizing Land-cover Classification Method Based on Google Earth Engine: A Case Study in Nzhelele and Levhuvu Catchments, South Africa
Published in Chinese geographical science (01-06-2020)“…This study designed an approach to derive land-cover in the South Africa with insufficient ground samples, and made a case demonstration in Nzhelele and…”
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5
Vineyard yield estimation using 2-D proximal sensing: a multitemporal approach
Published in OENO one (23-10-2020)“…Vineyard yield estimation is a fundamental aspect in precision viticulture that enables a better understanding of the inherent variability within a vineyard…”
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Discriminating the occurrence of pitch canker fungus in Pinus radiata trees using QuickBird imagery and artificial neural networks
Published in Southern forests (01-03-2013)“…Pathogenic fungi, such as Fusarium circinatum, present a serious threat to Pinus radiata plantations. The effective management of infected trees is thus…”
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Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data
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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Survey of Community Livelihoods and Landscape Change along the Nzhelele and Levuvhu River Catchments in Limpopo Province, South Africa
Published in Land (Basel) (01-03-2020)“…Landscape-change studies have attracted increasing interest because of their importance to land management and the sustainable livelihoods of rural…”
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Using Boruta-Selected Spectroscopic Wavebands for the Asymptomatic Detection of Fusarium Circinatum Stress
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-09-2014)“…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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10
The use of synthetic aperture radar technology for crop biomass monitoring: A systematic review
Published in Remote sensing applications (01-01-2024)“…In agriculture, crop biomass is a vital indicator of the overall health of an ecosystem. Recent developments in synthetic aperture radar (SAR) technologies…”
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Modelling forest canopy gaps using LiDAR-derived variables
Published in Geocarto international (28-01-2019)“…Remote sensing has revolutionized forest management and has been widely employed to model canopy gaps. In this study, a canopy height model (CHM) and an…”
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12
Reducing hyperspectral data dimensionality using random forest based wrappers
Published in 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS (01-07-2013)“…The random forest algorithm has been widely used for classification of hyperspectral data. To improve model interpretation and classification, the random…”
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Conference Proceeding -
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Accuracy assessment of game-based crowdsourced land-use/land cover image classification
Published in 2014 IEEE Geoscience and Remote Sensing Symposium (01-07-2014)“…Crowd-sourced data has been used as alternative for ground truth data. However, the accuracy of crowd-sourced land use and land cover classification…”
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Conference Proceeding -
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Discriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks
Published in 2012 IEEE International Geoscience and Remote Sensing Symposium (01-07-2012)“…Pitch canker is causing serious damage to Pinus radiata forests in South Africa. There is an urgent need to find an efficient way to assess the extent and…”
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Conference Proceeding