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Eutrophication and cyanobacteria in South Africa’s standing water bodies: A view from space
Matthews, MW
;
Bernard, Stewart
(
ASSAF
,
2015-05
)
The use of 3D ground penetrating radar to mitigate the risk associated with falls of ground in Bushveld Complex platinum mines
Kgarume, Thabang E
;
Van Schoor, Michael
;
Nontso, Zintle
(
South African Institute of Mining and Metallurgy
,
2019-11
)
Selecting suitable coherent processing time window lengths for ground-based ISAR imaging of cooperative sea vessels
Abdul Gaffar, MY
;
Nel, Willem AJ
;
Inggs, MR
(
IEEE
,
2009-09
)
A modified temporal criterion to meta-optimize the extended Kalman filter for land cover classification of remotely sensed time series
Salmon, BP
;
Kleynhans, Waldo
;
Olivier, JC
;
Van den Bergh, Frans
;
Wessels, Konrad J
(
Elsevier
,
2018-05
)
Assessment of accuracy: systematic reduction of training points for maximum likelihood classification and mixture discriminant analysis (Gaussian and t-distribution)
Ritchie, Michaela C
;
Debba, Pravesh
;
Lück-Vogel, Melanie
;
Goodall, V
(
AJOL
,
2018-09
)
An investigation into robust spectral indices for leaf chlorophyll estimation
Main, Russell S
;
Cho, Moses A
;
Mathieu, Renaud SA
;
O'Kennedy, Maretha M
;
Ramoelo, Abel
;
Koch, S
(
Elsevier
,
2011-11
)
Evaluating variations of physiology-based hyperspectral features along a soil water gradient in Eucalyptus grandis plantation
Cho, Moses A
;
van Aardt, J
;
Main, Russell S
;
Majeke, B
(
Taylor & Francis
,
2010-04
)
Toward structural assessment of semi-arid African savannahs and woodlands: The potential of multitemporal polarimetric RADARSAT-2 fine beam images
Mathieu, Renaud SA
;
Naidoo, Laven
;
Cho, Moses A
;
Leblon, B
;
Main, Russell S
;
Wessels, Konrad J
;
Asner, GP
;
Buckley, J
;
Van Aardt, J
;
Erasmus, BFN
;
Smit, IPJ
(
Elsevier
,
2013-11
)
Landsat-8 based coastal ecosystem mapping in South Africa using random forest classification in Google Earth Engine
Bessinger, M
;
Lück-Vogel, Melanie
;
Skowno, A
;
Conrad, F
(
2022-11
)
Multi-resolution segmentation of solar photovoltaic systems using deep learning
Kleebauer, M
;
Marz, Christopher A
;
Reudenbach, C
;
Braun, M
(
2023-12
)
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