# Index: Optimized Soil Adjusted Vegetation Index

### Optimized Soil Adjusted Vegetation Index

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## Basic information

Name Optimized Soil Adjusted Vegetation Index OSAVI $\left(1+{Y}\right)\frac{{\mathrm{800nm}}-{\mathrm{670nm}}}{{\mathrm{800nm}}+{\mathrm{670nm}}+{Y}}$ Y=0.16 mit Y = 0.16 670,800 Original formula

## Sensors

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

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.; FernÃ¡ndez, G.; GarcÃ­a, 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; Oâ€™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
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-CantÃ³, 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

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