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Divan Vermeulen
Divan Vermeulen
GIS and remote sensing specialist, Stellenbosch University
Verified email at sun.ac.za
Title
Cited by
Cited by
Year
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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