A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method

By Moses Azong Cho, Andrew K. Skidmore. 2006

555 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/38a45b10151dc04b67f51ec634338b1eaa5a546d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Susan L. Ustin
2. Stephane Jacquemoud
3. George Alan Blackburn
4. Jochem Verrelst
5. José F. Moreno
6. Martin Schlerf
7. Clement Atzberger
8. Gregory P. Asner

In Ecology

1. Jochem Verrelst
2. Susan L. Ustin
3. Stephane Jacquemoud
4. José F. Moreno
5. George Alan Blackburn
6. Andrew K. Skidmore
7. Gregory P. Asner
8. Gustau Camps-Valls

In Plant Science

1. Stephane Jacquemoud
2. Susan L. Ustin
3. George Alan Blackburn
4. Jochem Verrelst
5. José F. Moreno
6. W. Raun
7. Gregory P. Asner
8. Marvin L. Stone

Citations in the corpus

• RED EDGE AS A POTENTIAL INDEX FOR DETECTING DIFFERENCES IN PLANT NITROGEN STATUS IN WINTER WHEAT (2012, methodology): “Cho and Skidmore ( 2006 ) also developed another method where REP is determined by the intersection of the far-red and red lines on the first derivative reflectance.”
• Review of optical-based remote sensing for plant trait mapping (2013, unknown): “…(F) LR - VI (DCNI) 0.62 0.64 13.7 fig.7a / sec.3.5.1 (Chen et al., 2010) N crops % L / L GER 3700 (L) LR with red edge n.a. 0.86 n.a. 6e / - (Cho and Skidmore, 2006) N grassland % L / L GER 3700 (L) LR with red edge n.a. 0.47 n.a. 6e / - (Cho and Skidmore 2006) N grassland % L / C GER 3700…”
• Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley (2016, background): “The indices react to absorption in the visible range, while the REIP is affected by a broadening of the major chlorophyll absorption feature centred at 680 nm, which causes a shift in the red edge slope and wavelengths of maximum slope (Cho and Skidmore, 2006).”
• Hyperspectral remote sensing of plant pigments. (2006, methodology): “An alternative solution is provided by Cho and Skidmore (2006) who developed a method for calculating k RE that does not depend on characterizing a peak in the first derivative.”
• Using spectral reflectance to estimate leaf chlorophyll content of tea with shading treatments (2018, methodology): “…Point (REIP) The position of the red edge inflection point (Collins 1978; Horler et al. 1983) Red-edge position liner extrapolation method1 (REP1) 700+40*((Rre–R700)/(R740–R700)) Rre=(R670–R780)/2 (Cho and Skidmore 2006) Red-edge position liner extrapolation method2 (REP2)…”
• Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data (2013, methodology): “The waveband centred at 691 nm was one of the spectral features used by Cho and Skidmore (2006) for calculating the red-edge position when analysing Hyperion data for estimating maize N concentration.”
• Leaf Area Index derivation from hyperspectral vegetation indicesand the red edge position (2009, methodology): “calculations from the three methods yield very dissimilar results and are highly dependent on the choice of methodology (Broge and Leblanc 2001, Cho and Skidmore 2006).”
• Spectral difference analysis and airborne imaging classification for citrus greening infected trees (2012, methodology): “In this study, two interpolation techniques termed three-point Lagrangian interpolation (Dawson and Curran, 1998) and four-point linear extrapolation (Cho and Skidmore, 2006) were used to calculate REP from both the ground measurement and HS images.”