Index: TCARI/OSAVI

TCARI/OSAVI

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Basic information

Name TCARI/OSAVI
Abbreviation TCARI/OSAVI
Formula 3 ( 700nm - 670nm ) - 0.2 ( 700nm - 550nm ) 700nm 670nm ( 1 + 0.16 ) 800nm - 670nm 800nm + 670nm + 0.16
Variables
Expl. of Variables
Wavelengths 550,670,700,800
Source Original formula
Description Haboudane 2002

Visualisation of required spectral range

Bands
zoom Bands

Sensors

Nr. Name Spectral Range Bands Specific Formula Calculated Comment
1 AHS 428.5-13140 80 3 ( 10 - 9 ) - 0.2 ( 10 - 5 ) 10 9 ( 1 + 0.16 ) 13 - 9 13 + 9 + 0.16 Automatic
2 AISA 400-2506.7 498 3 ( 131 - 118 ) - 0.2 ( 131 - 66 ) 131 118 ( 1 + 0.16 ) 174 - 118 174 + 118 + 0.16 Automatic
3 ARIES-1 400-2587 105 3 ( 16 - 15 ) - 0.2 ( 16 - 8 ) 16 15 ( 1 + 0.16 ) 22 - 15 22 + 15 + 0.16 Automatic
4 ASAS 400-1020 62 3 ( 30 - 27 ) - 0.2 ( 30 - 15 ) 30 27 ( 1 + 0.16 ) 40 - 27 40 + 27 + 0.16 Automatic
5 AVIRIS 355.15-2515 224 3 ( 37 - 34 ) - 0.2 ( 37 - 21 ) 37 34 ( 1 + 0.16 ) 48 - 34 48 + 34 + 0.16 Automatic
6 AVIS 550-994 74 3 ( 25 - 20 ) - 0.2 ( 25 - 1 ) 25 20 ( 1 + 0.16 ) 42 - 20 42 + 20 + 0.16 Automatic
7 Azimuth Systems AZ-16 0-13000 12 3 ( 6 - 5 ) - 0.2 ( 6 - 3 ) 6 5 ( 1 + 0.16 ) 7 - 5 7 + 5 + 0.16 Automatic
8 CASI spectral 391-905.5 96 3 ( 58 - 53 ) - 0.2 ( 58 - 30 ) 58 53 ( 1 + 0.16 ) 77 - 53 77 + 53 + 0.16 Automatic
9 ChrisProbaM1 406-1003 62 3 ( A29 - A25 ) - 0.2 ( A29 - A13 ) A29 A25 ( 1 + 0.16 ) A44 - A25 A44 + A25 + 0.16 Automatic
10 ChrisProbaM5 438-1036 37 3 ( H10 - H8 ) - 0.2 ( H10 - H4 ) H10 H8 ( 1 + 0.16 ) H24 - H8 H24 + H8 + 0.16 Automatic
11 Daedalus 0-13000 12 3 ( 6 - 5 ) - 0.2 ( 6 - 3 ) 6 5 ( 1 + 0.16 ) 7 - 5 7 + 5 + 0.16 Automatic
12 DAIS-7915 400-12600 79 3 ( 16 - 15 ) - 0.2 ( 16 - 8 ) 16 15 ( 1 + 0.16 ) 22 - 15 22 + 15 + 0.16 Automatic
13 EnMap 420-2450 244 3 ( 44 - 39 ) - 0.2 ( 44 - 20 ) 44 39 ( 1 + 0.16 ) 59 - 39 59 + 39 + 0.16 Automatic
14 HYDICE 400-2500 210 3 ( 30 - 27 ) - 0.2 ( 30 - 15 ) 30 27 ( 1 + 0.16 ) 40 - 27 40 + 27 + 0.16 Automatic
15 HyMap 429-2493.8 126 3 ( 18 - 16 ) - 0.2 ( 18 - 9 ) 18 16 ( 1 + 0.16 ) 25 - 16 25 + 16 + 0.16 Automatic
16 Hyperion 349.896-2582.28 242 3 ( B35 - B32 ) - 0.2 ( B35 - B20 ) B35 B32 ( 1 + 0.16 ) B45 - B32 B45 + B32 + 0.16 Automatic
17 LandsatMSS (Landsat1-3) 500-1100 4 3 ( 3 - 2 ) - 0.2 ( 3 - 1 ) 3 2 ( 1 + 0.16 ) 4 - 2 4 + 2 + 0.16 Automatic
18 Orbview-4 450-2450 200 3 ( 25 - 22 ) - 0.2 ( 25 - 10 ) 25 22 ( 1 + 0.16 ) 35 - 22 35 + 22 + 0.16 Automatic
19 PHI 400-1000.35 244 3 ( 122 - 110 ) - 0.2 ( 122 - 61 ) 122 110 ( 1 + 0.16 ) 163 - 110 163 + 110 + 0.16 Automatic
20 RapidEye 440-850 5 3 ( Red_edge - Red ) - 0.2 ( Red_edge - Green ) Red_edge Red ( 1 + 0.16 ) Near_Infrared - Red Near_Infrared + Red + 0.16 Automatic
21 SCIAMACHY 240-2380 15 3 ( VIS2 - PMD3_VIS ) - 0.2 ( VIS2 - VIS1 ) VIS2 PMD3_VIS ( 1 + 0.16 ) PMD4_NIR - PMD3_VIS PMD4_NIR + PMD3_VIS + 0.16 Automatic
22 Sentinel-2A 433-2280 13 3 ( 5 - 4 ) - 0.2 ( 5 - 3 ) 5 4 ( 1 + 0.16 ) 8 - 4 8 + 4 + 0.16 Automatic
23 WorldView-2 400-1040 9 3 ( Pan - Red ) - 0.2 ( Pan - Green ) Pan Red ( 1 + 0.16 ) NIR1 - Red NIR1 + Red + 0.16 Automatic

Applications

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References

Nr. Author/Title Year Comment
1 Apan, Armando; Held, Alex; Phinn, Stuart; Markley, John - Formulation and assessment of narrow-band vegetation indices from EO-1 hyperion imagery for discriminating sugarcane disease 2003
2 Gandia, S.; Fernández, G.; García, J. C.; & Moreno, J. - Retrieval of vegetation biophysical variables from CHRIS/PROBA data in the SPARC campaing 2004
3 Haboudane, Driss; Miller, John R.; Tremblay, Nicolas; Zarco-Tejada, Pablo J.; Dextraze, Louise - Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture 2002
4 Herrmann, I.; Karnieli, A.; Bonfil, D. J.; Cohen, Y.; Alchanatis, V. - SWIR-based spectral indices for assessing nitrogen content in potato fields 2010
5 Hunt Jr., E. Raymond; Daughtry, C. S. T.; Eitel, Jan U. H.; Long, D. S. - Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index 2011
6 Main, Russell; Cho, Moses Azong; Mathieu, Renaud; O€™Kennedy, Martha M.; Ramoelo, Abel; Koch, Susan - An investigation into robust spectral indices for leaf chlorophyll estimation 2011
7 Rondeaux, Geneviève; Steven, Michael; Baret, Frédéric - Optimization of soil-adjusted vegetation indices 1996
8 Wu, Chaoyang; Niu, Zheng; Tang, Quan; Huang, Wenjiang - Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation 2008
9 Zarco-Tejada P.J.; Sepulcre-Cantó, G. - REMOTE SENSING OF VEGETATION BIOPHYSICAL PARAMETERS FOR DETECTING STRESS CONDITION AND LAND COVER CHANGES 2007

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Visualisation of Sensor-Bands

Index:

Sensors:

AHS

AISA

ARIES-1

ASAS

AVIRIS

AVIS

Azimuth Systems AZ-16

CASI spectral

ChrisProbaM1

ChrisProbaM5

Daedalus

DAIS-7915

EnMap

HYDICE

HyMap

Hyperion

LandsatMSS (Landsat1-3)

Orbview-4

PHI

RapidEye

SCIAMACHY

Sentinel-2A

WorldView-2

List of Indices