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Showing 10 out of a total of 14 results.
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On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure
Van Aardt, JAN
;
Wu, J
;
McGlinchy, J
;
Wessels, Konrad J
;
Mathieu, Renaud SA
;
Kennedy Bowdoin, T
;
Knapp, DE
;
Asner, GP
(
IGARSS 2012
,
2012-07
)
Modified temporal approach to meta-optimizing an extended Kalman filter's parameters
Salmon, BP
;
Kleynhans, Waldo
;
Olivier, JC
;
Olding, WC
;
Wessels, Konrad J
;
Van den Bergh, Frans
(
IEEE
,
2014-07
)
Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data
Kleynhans, W
;
Olivier, JC
;
Salmon, BP
;
Wessels, Konrad J
;
Van den Bergh, F
(
2010
)
Reality of rangeland degradation mapping with remote sensing: the South African experience
Wessels, Konrad J
;
Pretorius, DJ
;
Prince, SD
(
2008-09
)
Automated land cover change detection: the quest for meaningful high temporal time series extraction
Salmon, BP
;
Olivier, JC
;
Kleynhans, W
;
Wessels, Konrad J
;
Van den Bergh, F
(
IEEE
,
2010-07
)
Using random matrix theory to determine the number of endmembers in a hyperspectral image
Cawse, K
;
Sears, M
;
Robin, A
;
Damelin, SB
;
Wessels, Konrad J
;
Van den Bergh, F
;
Mathieu, Renaud SA
(
2010-06
)
Improving NDVI time series class separation using an extended Kalman filter
Kleynhans, W
;
Olivier, JC
;
Salmon, BP
;
Wessels, Konrad J
;
Van den Bergh, F
(
IEEE
,
2009-07
)
Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics
Steenkamp, Karen C
;
Wessels, Konrad J
;
Archibald, S
;
Von Maltitz, Graham P
(
2009-05
)
Can linear trend analyses of NDVI time series data truly detect land degradation? Simulations may provide the answer
Wessels, Konrad J
;
Van den Bergh, F
;
Scholes, RJ
;
Miteffa, S
(
2011-04
)
An autocorrelation analysis approach to detecting land cover change using hyper-temporal time-series data
Kleynhans, W
;
Salmon, BP
;
Olivier, JC
;
Wessels, Konrad J
;
Van den Bergh, F
(
2011-07
)
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