Index: Optimized Soil Adjusted Vegetation Index

Optimized Soil Adjusted Vegetation Index

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Basic information

Name Optimized Soil Adjusted Vegetation Index
Abbreviation OSAVI
Formula ( 1 + Y ) 800nm - 670nm 800nm + 670nm + Y
Variables Y=0.16
Expl. of Variables mit Y = 0.16
Wavelengths 670,800
Source Original formula
Description

Visualisation of required spectral range

Bands
zoom Bands

Sensors

Nr. Name Spectral Range Bands Specific Formula Calculated Comment
1 AHS 428.5-13140 80 ( 1 + 0.16 ) 13 - 9 13 + 9 + 0.16 Automatic
2 AISA 400-2506.7 498 ( 1 + 0.16 ) 174 - 118 174 + 118 + 0.16 Automatic
3 ALI 433-2350 10 ( 1 + 0.16 ) MS___4 - MS___3 MS___4 + MS___3 + 0.16 Automatic
4 ALOS 0-890 6 ( 1 + 0.16 ) 5 - 4 5 + 4 + 0.16 Automatic
5 ARIES-1 400-2587 105 ( 1 + 0.16 ) 22 - 15 22 + 15 + 0.16 Automatic
6 ASAS 400-1020 62 ( 1 + 0.16 ) 40 - 27 40 + 27 + 0.16 Automatic
7 ASTER 520-11650 15 ( 1 + 0.16 ) VNIR_Band3N - VNIR_Band2 VNIR_Band3N + VNIR_Band2 + 0.16 Automatic
8 AVHRR 580-12500 6 ( 1 + 0.16 ) 2 - 1 2 + 1 + 0.16 Automatic
9 AVIRIS 355.15-2515 224 ( 1 + 0.16 ) 48 - 34 48 + 34 + 0.16 Automatic
10 AVIS 550-994 74 ( 1 + 0.16 ) 42 - 20 42 + 20 + 0.16 Automatic
11 Azimuth Systems AZ-16 0-13000 12 ( 1 + 0.16 ) 7 - 5 7 + 5 + 0.16 Automatic
12 CASI spectral 391-905.5 96 ( 1 + 0.16 ) 77 - 53 77 + 53 + 0.16 Automatic
13 CBERS-1/CBERS-2 450-890 8 ( 1 + 0.16 ) infrared - red infrared + red + 0.16 Automatic
14 ChrisProbaM1 406-1003 62 ( 1 + 0.16 ) A44 - A25 A44 + A25 + 0.16 Automatic
15 ChrisProbaM5 438-1036 37 ( 1 + 0.16 ) H24 - H8 H24 + H8 + 0.16 Automatic
16 CZCS 433-12500 6 ( 1 + 0.16 ) 5 - 4 5 + 4 + 0.16 Automatic
17 Daedalus 0-13000 12 ( 1 + 0.16 ) 7 - 5 7 + 5 + 0.16 Automatic
18 DAIS-7915 400-12600 79 ( 1 + 0.16 ) 22 - 15 22 + 15 + 0.16 Automatic
19 Deimos-2 420-890 5 ( 1 + 0.16 ) MS4 - MS3 MS4 + MS3 + 0.16 Automatic
20 DubaiSat-1 420-890 5 ( 1 + 0.16 ) MS4_Near_Infrared - MS3_Red MS4_Near_Infrared + MS3_Red + 0.16 Automatic
21 Early Bird 450-890 4 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
22 EnMap 420-2450 244 ( 1 + 0.16 ) 59 - 39 59 + 39 + 0.16 Automatic
23 Formosat-2 450-900 5 ( 1 + 0.16 ) B4 - B3 B4 + B3 + 0.16 Automatic
24 GeoEye-1 450-920 5 ( 1 + 0.16 ) NIR1 - Red NIR1 + Red + 0.16 Automatic
25 GLI 375-12500 36 ( 1 + 0.16 ) 23 - 11 23 + 11 + 0.16 Automatic
26 HYDICE 400-2500 210 ( 1 + 0.16 ) 40 - 27 40 + 27 + 0.16 Automatic
27 HyMap 429-2493.8 126 ( 1 + 0.16 ) 25 - 16 25 + 16 + 0.16 Automatic
28 Hyperion 349.896-2582.28 242 ( 1 + 0.16 ) B45 - B32 B45 + B32 + 0.16 Automatic
29 IKONOS-2 445-900 5 ( 1 + 0.16 ) nahe_Infrarot - Rot nahe_Infrarot + Rot + 0.16 Automatic
30 INSAT-2E 550-12500 6 ( 1 + 0.16 ) CCD_Near_Infrared - CCD_Visible CCD_Near_Infrared + CCD_Visible + 0.16 Automatic
31 IRS-1A 450-860 4 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
32 IRS-1B 450-860 4 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
33 IRS-1C 500-1700 5 ( 1 + 0.16 ) NIR - Red NIR + Red + 0.16 Automatic
34 IRS-1D 500-1700 5 ( 1 + 0.16 ) NIR - Red NIR + Red + 0.16 Automatic
35 IRS-P2 450-860 4 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
36 Kompsat-2 0-900 5 ( 1 + 0.16 ) 5 - 4 5 + 4 + 0.16 Automatic
37 LandsatETM+ (Landsat7) 450-12500 8 ( 1 + 0.16 ) NIR - Red NIR + Red + 0.16 Automatic
38 LandsatMSS (Landsat1-3) 500-1100 4 ( 1 + 0.16 ) 3 - 2 3 + 2 + 0.16 Automatic
39 LandsatTM (Landsat4,5) 450-12500 7 ( 1 + 0.16 ) NIR - Red NIR + Red + 0.16 Automatic
40 MMR 450-2300 7 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
41 Monitor-E 510-900 4 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
42 MSU-MR 500-12500 6 ( 1 + 0.16 ) 2 - 1 2 + 1 + 0.16 Automatic
43 Orbview-1 450-900 5 ( 1 + 0.16 ) 5 - 4 5 + 4 + 0.16 Automatic
44 Orbview-4 450-2450 200 ( 1 + 0.16 ) 35 - 22 35 + 22 + 0.16 Automatic
45 PHI 400-1000.35 244 ( 1 + 0.16 ) 163 - 110 163 + 110 + 0.16 Automatic
46 Pleiades-1 430-950 5 ( 1 + 0.16 ) NIR1 - Red NIR1 + Red + 0.16 Automatic
47 PROBA-V 440-1635 4 ( 1 + 0.16 ) NIR - RED NIR + RED + 0.16 Automatic
48 QuickBird 450-900 5 ( 1 + 0.16 ) near_infrared - red near_infrared + red + 0.16 Automatic
49 RapidEye 440-850 5 ( 1 + 0.16 ) Near_Infrared - Red Near_Infrared + Red + 0.16 Automatic
50 Resource21 450-1650 6 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
51 Resurs-DK1 500-800 4 ( 1 + 0.16 ) 4 - 3 4 + 3 + 0.16 Automatic
52 SCIAMACHY 240-2380 15 ( 1 + 0.16 ) PMD4_NIR - PMD3_VIS PMD4_NIR + PMD3_VIS + 0.16 Automatic
53 SeaWiFS 412-905 8 ( 1 + 0.16 ) 7 - 6 7 + 6 + 0.16 Automatic
54 Sentinel-2A 433-2280 13 ( 1 + 0.16 ) 8 - 4 8 + 4 + 0.16 Automatic
55 SEVIRI 560-14400 12 ( 1 + 0.16 ) VIS_0.8_ - VIS_0.6 VIS_0.8_ + VIS_0.6 + 0.16 Automatic
56 SIS 450-900 5 ( 1 + 0.16 ) 5 - 4 5 + 4 + 0.16 Automatic
57 SPOT 1-3 500-890 4 ( 1 + 0.16 ) near_infrared - red near_infrared + red + 0.16 Automatic
58 SPOT 4 500-1750 5 ( 1 + 0.16 ) near_infrared - red near_infrared + red + 0.16 Automatic
59 SPOT 5 480-1750 5 ( 1 + 0.16 ) near_infrared - red near_infrared + red + 0.16 Automatic
60 SPOT 6 450-890 5 ( 1 + 0.16 ) NIR - RED NIR + RED + 0.16 Automatic
61 SPOT 7 450-890 5 ( 1 + 0.16 ) NIR - RED NIR + RED + 0.16 Automatic
62 UK-DMC 2 520-900 3 ( 1 + 0.16 ) NIR - Red NIR + Red + 0.16 Automatic
63 VIIRS 412-13350 22 ( 1 + 0.16 ) DNB - I1 DNB + I1 + 0.16 Automatic
64 WorldView-2 400-1040 9 ( 1 + 0.16 ) NIR1 - Red NIR1 + Red + 0.16 Automatic
65 WorldView-3 400-2365 29 ( 1 + 0.16 ) Near_IR1 - Red Near_IR1 + Red + 0.16 Automatic

Applications

Nr. Name Comment
1 Vegetation

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 Daughtry, C. S. T.; Walthall, C. L.; Kim, M. S.; de Colstoun, E. Brown; McMurtrey Iii, J. E. - Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance 2000
3 Eitel, J. U. H.; Long, D. S.; Gessler, P. E.; Smith, A. M. S. - Using insitu measurements to evaluate the new RapidEyeâ„¢ satellite series for prediction of wheat nitrogen status 2007
4 Gandia, S.; Fernández, G.; García, J. C.; & Moreno, J. - Retrieval of vegetation biophysical variables from CHRIS/PROBA data in the SPARC campaing 2004
5 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
6 Heiskanen, J. - Estimating aboveground tree biomass and leaf area index in a mountain birch forest using ASTER satellite data 2006
7 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
8 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
9 Oppelt, N.; Mauser, W. - Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data 2004
10 Rondeaux, Geneviève; Steven, Michael; Baret, Frédéric - Optimization of soil-adjusted vegetation indices 1996
11 Wu, Chaoyang; Niu, Zheng; Tang, Quan; Huang, Wenjiang - Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation 2008
12 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

ALI

ALOS

ARIES-1

ASAS

ASTER

AVHRR

AVIRIS

AVIS

Azimuth Systems AZ-16

CASI spectral

CBERS-1/CBERS-2

ChrisProbaM1

ChrisProbaM5

CZCS

Daedalus

DAIS-7915

Deimos-2

DubaiSat-1

Early Bird

EnMap

Formosat-2

GeoEye-1

GLI

HYDICE

HyMap

Hyperion

IKONOS-2

INSAT-2E

IRS-1A

IRS-1B

IRS-1C

IRS-1D

IRS-P2

Kompsat-2

LandsatETM+ (Landsat7)

LandsatMSS (Landsat1-3)

LandsatTM (Landsat4,5)

MMR

Monitor-E

MSU-MR

Orbview-1

Orbview-4

PHI

Pleiades-1

PROBA-V

QuickBird

RapidEye

Resource21

Resurs-DK1

SCIAMACHY

SeaWiFS

Sentinel-2A

SEVIRI

SIS

SPOT 1-3

SPOT 4

SPOT 5

SPOT 6

SPOT 7

UK-DMC 2

VIIRS

WorldView-2

WorldView-3

List of Indices