Index: MCARI/OSAVI

MCARI/OSAVI

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Basic information

Name	MCARI/OSAVI
Abbreviation	MCARI/OSAVI
Formula	$\frac{\left(\mathrm{700nm}-\mathrm{670nm}\right)-0.2\left(\mathrm{700nm}-\mathrm{550nm}\right)\left(\frac{\mathrm{700nm}}{\mathrm{670nm}}\right)}{\left(1+0.16\right)\frac{\mathrm{800nm}-\mathrm{670nm}}{\mathrm{800nm}+\mathrm{670nm}+0.16}}$
Variables
Expl. of Variables
Wavelengths	550,670,700,800
Source	Original formula
Description

Visualisation of required spectral range

Sensors

Nr.	Name	Spectral Range	Bands	Specific Formula	Calculated	Comment
1	AHS	428.5-13140	80	$\frac{\left(\mathrm{10}-9\right)-0.2\left(\mathrm{10}-5\right)\left(\frac{\mathrm{10}}{9}\right)}{\left(1+0.16\right)\frac{\mathrm{13}-9}{\mathrm{13}+9+0.16}}$	Automatic
2	AISA	400-2506.7	498	$\frac{\left(\mathrm{131}-\mathrm{118}\right)-0.2\left(\mathrm{131}-\mathrm{66}\right)\left(\frac{\mathrm{131}}{\mathrm{118}}\right)}{\left(1+0.16\right)\frac{\mathrm{174}-\mathrm{118}}{\mathrm{174}+\mathrm{118}+0.16}}$	Automatic
3	ARIES-1	400-2587	105	$\frac{\left(\mathrm{16}-\mathrm{15}\right)-0.2\left(\mathrm{16}-8\right)\left(\frac{\mathrm{16}}{\mathrm{15}}\right)}{\left(1+0.16\right)\frac{\mathrm{22}-\mathrm{15}}{\mathrm{22}+\mathrm{15}+0.16}}$	Automatic
4	ASAS	400-1020	62	$\frac{\left(\mathrm{30}-\mathrm{27}\right)-0.2\left(\mathrm{30}-\mathrm{15}\right)\left(\frac{\mathrm{30}}{\mathrm{27}}\right)}{\left(1+0.16\right)\frac{\mathrm{40}-\mathrm{27}}{\mathrm{40}+\mathrm{27}+0.16}}$	Automatic
5	AVIRIS	355.15-2515	224	$\frac{\left(\mathrm{37}-\mathrm{34}\right)-0.2\left(\mathrm{37}-\mathrm{21}\right)\left(\frac{\mathrm{37}}{\mathrm{34}}\right)}{\left(1+0.16\right)\frac{\mathrm{48}-\mathrm{34}}{\mathrm{48}+\mathrm{34}+0.16}}$	Automatic
6	AVIS	550-994	74	$\frac{\left(\mathrm{25}-\mathrm{20}\right)-0.2\left(\mathrm{25}-1\right)\left(\frac{\mathrm{25}}{\mathrm{20}}\right)}{\left(1+0.16\right)\frac{\mathrm{42}-\mathrm{20}}{\mathrm{42}+\mathrm{20}+0.16}}$	Automatic
7	Azimuth Systems AZ-16	0-13000	12	$\frac{\left(6-5\right)-0.2\left(6-3\right)\left(\frac{6}{5}\right)}{\left(1+0.16\right)\frac{7-5}{7+5+0.16}}$	Automatic
8	CASI spectral	391-905.5	96	$\frac{\left(\mathrm{58}-\mathrm{53}\right)-0.2\left(\mathrm{58}-\mathrm{30}\right)\left(\frac{\mathrm{58}}{\mathrm{53}}\right)}{\left(1+0.16\right)\frac{\mathrm{77}-\mathrm{53}}{\mathrm{77}+\mathrm{53}+0.16}}$	Automatic
9	ChrisProbaM1	406-1003	62	$\frac{\left(\mathrm{A29}-\mathrm{A25}\right)-0.2\left(\mathrm{A29}-\mathrm{A13}\right)\left(\frac{\mathrm{A29}}{\mathrm{A25}}\right)}{\left(1+0.16\right)\frac{\mathrm{A44}-\mathrm{A25}}{\mathrm{A44}+\mathrm{A25}+0.16}}$	Automatic
10	ChrisProbaM5	438-1036	37	$\frac{\left(\mathrm{H10}-\mathrm{H8}\right)-0.2\left(\mathrm{H10}-\mathrm{H4}\right)\left(\frac{\mathrm{H10}}{\mathrm{H8}}\right)}{\left(1+0.16\right)\frac{\mathrm{H24}-\mathrm{H8}}{\mathrm{H24}+\mathrm{H8}+0.16}}$	Automatic
11	Daedalus	0-13000	12	$\frac{\left(6-5\right)-0.2\left(6-3\right)\left(\frac{6}{5}\right)}{\left(1+0.16\right)\frac{7-5}{7+5+0.16}}$	Automatic
12	DAIS-7915	400-12600	79	$\frac{\left(\mathrm{16}-\mathrm{15}\right)-0.2\left(\mathrm{16}-8\right)\left(\frac{\mathrm{16}}{\mathrm{15}}\right)}{\left(1+0.16\right)\frac{\mathrm{22}-\mathrm{15}}{\mathrm{22}+\mathrm{15}+0.16}}$	Automatic
13	EnMap	420-2450	244	$\frac{\left(\mathrm{44}-\mathrm{39}\right)-0.2\left(\mathrm{44}-\mathrm{20}\right)\left(\frac{\mathrm{44}}{\mathrm{39}}\right)}{\left(1+0.16\right)\frac{\mathrm{59}-\mathrm{39}}{\mathrm{59}+\mathrm{39}+0.16}}$	Automatic
14	HYDICE	400-2500	210	$\frac{\left(\mathrm{30}-\mathrm{27}\right)-0.2\left(\mathrm{30}-\mathrm{15}\right)\left(\frac{\mathrm{30}}{\mathrm{27}}\right)}{\left(1+0.16\right)\frac{\mathrm{40}-\mathrm{27}}{\mathrm{40}+\mathrm{27}+0.16}}$	Automatic
15	HyMap	429-2493.8	126	$\frac{\left(\mathrm{18}-\mathrm{16}\right)-0.2\left(\mathrm{18}-9\right)\left(\frac{\mathrm{18}}{\mathrm{16}}\right)}{\left(1+0.16\right)\frac{\mathrm{25}-\mathrm{16}}{\mathrm{25}+\mathrm{16}+0.16}}$	Automatic
16	Hyperion	349.896-2582.28	242	$\frac{\left(\mathrm{B35}-\mathrm{B32}\right)-0.2\left(\mathrm{B35}-\mathrm{B20}\right)\left(\frac{\mathrm{B35}}{\mathrm{B32}}\right)}{\left(1+0.16\right)\frac{\mathrm{B45}-\mathrm{B32}}{\mathrm{B45}+\mathrm{B32}+0.16}}$	Automatic
17	LandsatMSS (Landsat1-3)	500-1100	4	$\frac{\left(3-2\right)-0.2\left(3-1\right)\left(\frac{3}{2}\right)}{\left(1+0.16\right)\frac{4-2}{4+2+0.16}}$	Automatic
18	Orbview-4	450-2450	200	$\frac{\left(\mathrm{25}-\mathrm{22}\right)-0.2\left(\mathrm{25}-\mathrm{10}\right)\left(\frac{\mathrm{25}}{\mathrm{22}}\right)}{\left(1+0.16\right)\frac{\mathrm{35}-\mathrm{22}}{\mathrm{35}+\mathrm{22}+0.16}}$	Automatic
19	PHI	400-1000.35	244	$\frac{\left(\mathrm{122}-\mathrm{110}\right)-0.2\left(\mathrm{122}-\mathrm{61}\right)\left(\frac{\mathrm{122}}{\mathrm{110}}\right)}{\left(1+0.16\right)\frac{\mathrm{163}-\mathrm{110}}{\mathrm{163}+\mathrm{110}+0.16}}$	Automatic
20	RapidEye	440-850	5	$\frac{\left(\mathrm{Red\_edge}-\mathrm{Red}\right)-0.2\left(\mathrm{Red\_edge}-\mathrm{Green}\right)\left(\frac{\mathrm{Red\_edge}}{\mathrm{Red}}\right)}{\left(1+0.16\right)\frac{\mathrm{Near\_Infrared}-\mathrm{Red}}{\mathrm{Near\_Infrared}+\mathrm{Red}+0.16}}$	Automatic
21	SCIAMACHY	240-2380	15	$\frac{\left(\mathrm{VIS2}-\mathrm{PMD3\_VIS}\right)-0.2\left(\mathrm{VIS2}-\mathrm{VIS1}\right)\left(\frac{\mathrm{VIS2}}{\mathrm{PMD3\_VIS}}\right)}{\left(1+0.16\right)\frac{\mathrm{PMD4\_NIR}-\mathrm{PMD3\_VIS}}{\mathrm{PMD4\_NIR}+\mathrm{PMD3\_VIS}+0.16}}$	Automatic
22	Sentinel-2A	433-2280	13	$\frac{\left(5-4\right)-0.2\left(5-3\right)\left(\frac{5}{4}\right)}{\left(1+0.16\right)\frac{8-4}{8+4+0.16}}$	Automatic
23	WorldView-2	400-1040	9	$\frac{\left(\mathrm{Pan}-\mathrm{Red}\right)-0.2\left(\mathrm{Pan}-\mathrm{Green}\right)\left(\frac{\mathrm{Pan}}{\mathrm{Red}}\right)}{\left(1+0.16\right)\frac{\mathrm{NIR1}-\mathrm{Red}}{\mathrm{NIR1}+\mathrm{Red}+0.16}}$	Automatic

Applications

No results for the selected combination.

References

Nr.	Author/Title	Year	Comment
1	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
2	Rondeaux, Geneviève; Steven, Michael; Baret, Frédéric - Optimization of soil-adjusted vegetation indices	1996
3	Wu, Chaoyang; Niu, Zheng; Tang, Quan; Huang, Wenjiang - Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation	2008
4	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