Red edge shift and biochemical content in grass canopies

By Onisimo Mutanga, Andrew K. Skidmore. 2007

276 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/a105ae377c7d89a0eae1d6f3f2b9d1464152d53b

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Citations in the corpus

Review of optical-based remote sensing for plant trait mapping (2013, unknown): “2 (Martin et al., 2008) N grassland mg g-1 L / C GER 3700 (F) LR with red edge 0.89 n.a. n.a. - / 3 (Mutanga and Skidmore, 2007) N grassland % L / C GER 3700 (F) SLR of CR 0.52 n.a. 24.4 4 / - (Mutanga et al., 2004) N mixed % C / C AVIRIS (A) PLSR of FD of log(1/R) n.a. 0.79 n.a. 2a / - (Ollinger…”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, methodology): “Applications of the method in vegetation science are maps of chlorophyll (Broge and Leblanc, 2001), nitrogen content (Mutanga and Skidmore, 2004, 2007; Schlerf et al., 2010; Mitchell et al., 2012), foliar water condition (Stimson et al., 2005) and grassland biomass (Cho et al., 2007).”
LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands (2011, methodology): “Several methods for REIP calculation, such as Lagrangian interpolation technique (Dawson & Curran, 1998), inverted Gaussian model (Bonham-Carter, 1988), polynomial fitting (Pu et al., 2003), and first derivative (Mutanga & Skidmore, 2007), are mostly relied on hyperspectral data (Pu et al., 2003).”
Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels (2014, background): “Nevertheless, the majority of researches on the red-edge region of electromagnetic spectrum evaluate chlorophyll content or the physiological status of plants in view of identifying vegetation stress (Gitelson et al., 2006; Mutanga and Skidmore, 2007).”
Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers (2014, background): “This is due to sensitivity of the red edge band to vegetation chlorophyll content and canopy structure (Mutanga, Adam, and Cho 2012; Mutanga and Skidmore 2007; Cho et al. 2012) that enable the red edge band to identify plant types and characterize plant cover and abundance.”
RED EDGE AS A POTENTIAL INDEX FOR DETECTING DIFFERENCES IN PLANT NITROGEN STATUS IN WINTER WHEAT (2012, methodology): “Mutanga and Skidmore ( 2007 ) drew attention to the double points for the red-edge especially in the high N-treated plant using the first derivative method.”