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	$a \frac{NIR - a \cdot RED - b}{a \cdot NIR + RED - a \cdot b + X (1 + a^{2})}$
2	Chlorophyll Absorption Ratio Index	$(\frac{700nm}{670nm}) \frac{\sqrt{{(a \cdot 670 + 670nm + b)}^{2}}}{{(a^{2} + 1)}^{0.5}}$
3	Normalized Difference NIR/Red	$\frac{NIR - RED}{NIR + RED}$
4	Perpendicular Vegetation Index	$(\frac{1}{\sqrt{a^{2} + 1}}) (NIR - ar - b)$
5	RDVI	$\frac{800nm - 670nm}{{(800nm + 670nm)}^{0.5}}$
6	Simple Ratio 800/670	$\frac{800nm}{670nm}$
7	Simple Ratio NIR/RED	$\frac{NIR}{RED}$
8	Soil Adjusted Vegetation Index	$\frac{800nm - 670nm}{800nm + 670nm + L} (1 + L)$
9	Soil-adjusted vegetation index 2	$\frac{NIR}{RED + \frac{b}{a}}$
10	Transformed Soil Adjusted Vegetation Index	$\frac{B (NIR - B \cdot R - A)}{RED + B (NIR - A) + X (1 + B^{2})}$
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