Broge, N. H.; L... - Comparing prediction power and...

Basic information

Author Broge, N. H.; Leblanc, E.
Title Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
Journal Remote Sensing of Environment
DOI 10.1016/s0034-4257(00)00197-8
Link
Date/Year 2000
Location
Publisher
Volume 76
Issue 2
Pages 156-172
Keywords
Comment

Indices

Nr. Name General Formula Comment
1 Adjusted transformed soil-adjusted VI a NIR - a · RED - b a · NIR + RED - a · b + X ( 1 + a2 )
2 Chlorophyll Absorption Ratio Index ( 700nm 670nm ) ( a · 670 + 670nm + b ) 2 ( a2 + 1 ) 0.5
3 Normalized Difference NIR/Red NIR - RED NIR + RED
4 Perpendicular Vegetation Index ( 1 a2 + 1 ) ( NIR - ar - b )
5 RDVI 800nm - 670nm ( 800nm + 670nm ) 0.5
6 Simple Ratio 800/670 800nm 670nm
7 Simple Ratio NIR/RED NIR RED
8 Soil Adjusted Vegetation Index 800nm - 670nm 800nm + 670nm + L ( 1 + L )
9 Soil-adjusted vegetation index 2 NIR RED + b a
10 Transformed Soil Adjusted Vegetation Index B ( NIR - B · R - A ) RED + B ( NIR - A ) + X ( 1 + B2 )
11 Triangular Vegetation Index 0.5 ( 120 ( 750nm - 550nm ) - 200 ( 670nm - 550nm ) )

Sensors

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Applications

Nr. Name Comment
1 Hyperspectral remote sensing
2 Vegetation
3 Vegetation - Chlorophyll
4 Vegetation - LAI
5 Vegetation - PAR

List of References