Adriaan Van Niekerk

Orcid: 0000-0002-5631-0206

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

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
Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Digital Elevation Models: Terminology and Definitions.
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
Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water.
Remote. Sens., 2019

Automating field boundary delineation with multi-temporal Sentinel-2 imagery.
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

CLUES: A Web-based Land Use Expert System for the Western Cape.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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