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Adriaan Van Niekerk
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- affiliation: Stellenbosch University, Department of Geography and Environmental Studies, South Africa
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2020 – today
- 2022
- [j20]Christiaan J. Harmse
, Hannes Gerber, Adriaan Van Niekerk
Evaluating Several Vegetation Indices Derived from Sentinel-2 Imagery for Quantifying Localized Overgrazing in a Semi-Arid Region of South Africa. Remote. Sens. 14(7): 1720 (2022) - [j19]Caley Higgs
Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine Learning. Remote. Sens. 14(16): 3992 (2022) - 2021
- [j18]Adriaan Jacobus Prins
Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms. Geo spatial Inf. Sci. 24(2): 215-227 (2021) - [j17]Peter L. Guth
Digital Elevation Models: Terminology and Definitions. Remote. Sens. 13(18): 3581 (2021) - [j16]Tsitsi Bangira
Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5667-5683 (2021) - 2020
- [j15]Paul Macintyre, Adriaan Van Niekerk
Efficacy of multi-season Sentinel-2 imagery for compositional vegetation classification. Int. J. Appl. Earth Obs. Geoinformation 85 (2020) - [j14]Mmamokoma Grace Maponya, Adriaan Van Niekerk
Pre-harvest classification of crop types using a Sentinel-2 time-series and machine learning. Comput. Electron. Agric. 169: 105164 (2020) - [j13]Sybrand Jacobus Muller, P. Sithole, Abraham Singels
Assessing the fidelity of Landsat-based fAPAR models in two diverse sugarcane growing regions. Comput. Electron. Agric. 170: 105248 (2020)
2010 – 2019
- 2019
- [j12]Barry Watkins
A comparison of object-based image analysis approaches for field boundary delineation using multi-temporal Sentinel-2 imagery. Comput. Electron. Agric. 158: 294-302 (2019) - [j11]Gerard Francois Hermanus van Ginkel Bekker
Using machine learning to identify the geographical drivers of Ceratitis capitata trap catch in an agricultural landscape. Comput. Electron. Agric. 162: 582-592 (2019) - [j10]Barry Watkins, Adriaan Van Niekerk
Automating field boundary delineation with multi-temporal Sentinel-2 imagery. Comput. Electron. Agric. 167 (2019) - [j9]Tsitsi Bangira
Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water. Remote. Sens. 11(11): 1351 (2019) - 2017
- [j8]Jason Kane Gilbertson, Jaco Kemp
Effect of pan-sharpening multi-temporal Landsat 8 imagery for crop type differentiation using different classification techniques. Comput. Electron. Agric. 134: 151-159 (2017) - [j7]Jason Kane Gilbertson, Adriaan Van Niekerk
Value of dimensionality reduction for crop differentiation with multi-temporal imagery and machine learning. Comput. Electron. Agric. 142: 50-58 (2017) - [j6]Tsitsi Bangira
A Spectral Unmixing Method with Ensemble Estimation of Endmembers: Application to Flood Mapping in the Caprivi Floodplain. Remote. Sens. 9(10): 1013 (2017) - 2016
- [j5]Wolf Lück, Adriaan Van Niekerk
Evaluation of a rule-based compositing technique for Landsat-5 TM and Landsat-7 ETM+ images. Int. J. Appl. Earth Obs. Geoinformation 47: 1-14 (2016) - [j4]Sybrand Jacobus Muller, Adriaan Van Niekerk
An evaluation of supervised classifiers for indirectly detecting salt-affected areas at irrigation scheme level. Int. J. Appl. Earth Obs. Geoinformation 49: 138-150 (2016) - [j3]Nitesh K. Poona
Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data. Sensors 16(11): 1918 (2016) - 2014
- [j2]Walter Musakwa
Monitoring Urban Sprawl and Sustainable Urban Development Using the Moran Index: A Case Study of Stellenbosch, South Africa. Int. J. Appl. Geospat. Res. 5(3): 1-20 (2014) - [j1]Gerhard Myburgh, Adriaan Van Niekerk
Impact of Training Set Size on Object-Based Land Cover Classification: A Comparison of Three Classifiers. Int. J. Appl. Geospat. Res. 5(3): 49-67 (2014)
2000 – 2009
- 2009
- [c2]Garth Stephenson, Adriaan Van Niekerk
A Cost-effective, Rule-based Technique to Improve Forestry Inventory on a National Scale. IGARSS (2) 2009: 330-333 - [c1]Adriaan Van Niekerk
CLUES: A Web-based Land Use Expert System for the Western Cape. IGARSS (3) 2009: 459-462
Coauthor Index
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