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Divan Vermeulen
Divan Vermeulen
GIS and remote sensing specialist, Stellenbosch University
Geverifieerd e-mailadres voor sun.ac.za
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Machine learning performance for predicting soil salinity using different combinations of geomorphometric covariates
D Vermeulen, A Van Niekerk
Geoderma 299, 1-12, 2017
1162017
Evaluation of a WorldView-2 image for soil salinity monitoring in a moderately affected irrigated area
D Vermeulen, A van Niekerk
Journal of Applied Remote Sensing 10 (2), 026025-026025, 2016
282016
Water footprint as an indicator of sustainable table and wine grape production
C Jarmain, E Avenant, A van Niekerk, G Stephenson, M Mohlotsane, ...
Report to the Water Research Com-mission (WRC), 2020
82020
Methodology for monitoring waterlogging and salt accumulation on selected irrigation schemes in South Africa.
JP Nell, A Niekerk, SJ Muller, D Vermeulen, T Pauw, GR Stephenson, ...
WRC Report, 2015
72015
Efficacy of machine learning, earth observation and geomorphometry for mapping salt-affected soils in irrigation fields
D Vermeulen
Stellenbosch: Stellenbosch University, 2018
12018
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Artikelen 1–5