Adriaan Van Niekerk
Orcid: 0000-0002-5631-0206Affiliations:
- Stellenbosch University, Department of Geography and Environmental Studies, South Africa
According to our database1,
Adriaan Van Niekerk
authored at least 22 papers
between 2009 and 2022.
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Bibliography
2022
Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine Learning.
Remote. Sens., 2022
Evaluating Several Vegetation Indices Derived from Sentinel-2 Imagery for Quantifying Localized Overgrazing in a Semi-Arid Region of South Africa.
Remote. Sens., 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms.
Geo spatial Inf. Sci., 2021
2020
Assessing the fidelity of Landsat-based fAPAR models in two diverse sugarcane growing regions.
Comput. Electron. Agric., 2020
Pre-harvest classification of crop types using a Sentinel-2 time-series and machine learning.
Comput. Electron. Agric., 2020
Efficacy of multi-season Sentinel-2 imagery for compositional vegetation classification.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Remote. Sens., 2019
Comput. Electron. Agric., 2019
A comparison of object-based image analysis approaches for field boundary delineation using multi-temporal Sentinel-2 imagery.
Comput. Electron. Agric., 2019
Using machine learning to identify the geographical drivers of <i>Ceratitis capitata</i> trap catch in an agricultural landscape.
Comput. Electron. Agric., 2019
2017
A Spectral Unmixing Method with Ensemble Estimation of Endmembers: Application to Flood Mapping in the Caprivi Floodplain.
Remote. Sens., 2017
Value of dimensionality reduction for crop differentiation with multi-temporal imagery and machine learning.
Comput. Electron. Agric., 2017
Effect of pan-sharpening multi-temporal Landsat 8 imagery for crop type differentiation using different classification techniques.
Comput. Electron. Agric., 2017
2016
Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data.
Sensors, 2016
An evaluation of supervised classifiers for indirectly detecting salt-affected areas at irrigation scheme level.
Int. J. Appl. Earth Obs. Geoinformation, 2016
Evaluation of a rule-based compositing technique for Landsat-5 TM and Landsat-7 ETM+ images.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2014
Impact of Training Set Size on Object-Based Land Cover Classification: A Comparison of Three Classifiers.
Int. J. Appl. Geospat. Res., 2014
Monitoring Urban Sprawl and Sustainable Urban Development Using the Moran Index: A Case Study of Stellenbosch, South Africa.
Int. J. Appl. Geospat. Res., 2014
2009
A Cost-effective, Rule-based Technique to Improve Forestry Inventory on a National Scale.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009