Index: Normalized Difference MIR/NIR Normalized Difference Vegetation Index (in case of strong atmospheric disturbances)

Normalized Difference MIR/NIR Normalized Difference Vegetation Index (in case of strong atmospheric disturbances)

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Basic information

Name	Normalized Difference MIR/NIR Normalized Difference Vegetation Index (in case of strong atmospheric disturbances)
Abbreviation	NDVI
Formula	$\frac{\mathrm{MIR}-\mathrm{NIR}}{\mathrm{MIR}+\mathrm{NIR}}$
Variables	MIR=[1300:3000],NIR=[800;10;10]
Expl. of Variables	mit MIR = 1300 bis 3000 nm
Wavelengths	800;10;10,1300:3000
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	$\frac{\mathrm{45}-\mathrm{13}}{\mathrm{45}+\mathrm{13}}$	Automatic
2	AISA	400-2506.7	498	$\frac{\mathrm{440}-\mathrm{174}}{\mathrm{440}+\mathrm{174}}$	Automatic
3	ALI	433-2350	10	$\frac{\mathrm{MS\_\_\_7}-\mathrm{MS\_\_\_4}}{\mathrm{MS\_\_\_7}+\mathrm{MS\_\_\_4}}$	Automatic
4	ARIES-1	400-2587	105	$\frac{\mathrm{76}-\mathrm{22}}{\mathrm{76}+\mathrm{22}}$	Automatic
5	ASTER	520-11650	15	$\frac{\mathrm{SWIR\_Band5}-\mathrm{VNIR\_Band3N}}{\mathrm{SWIR\_Band5}+\mathrm{VNIR\_Band3N}}$	Automatic
6	AVHRR	580-12500	6	$\frac{\mathrm{3A}-2}{\mathrm{3A}+2}$	Automatic
7	AVIRIS	355.15-2515	224	$\frac{\mathrm{188}-\mathrm{48}}{\mathrm{188}+\mathrm{48}}$	Automatic
8	Azimuth Systems AZ-16	0-13000	12	$\frac{\mathrm{10}-7}{\mathrm{10}+7}$	Automatic
9	CASI1500	380-1500	288	$\frac{\mathrm{288}-\mathrm{109}}{\mathrm{288}+\mathrm{109}}$	Automatic
10	Daedalus	0-13000	12	$\frac{\mathrm{10}-7}{\mathrm{10}+7}$	Automatic
11	DAIS-7915	400-12600	79	$\frac{\mathrm{48}-\mathrm{22}}{\mathrm{48}+\mathrm{22}}$	Automatic
12	EnMap	420-2450	244	$\frac{\mathrm{214}-\mathrm{59}}{\mathrm{214}+\mathrm{59}}$	Automatic
13	GLI	375-12500	36	$\frac{\mathrm{29}-\mathrm{23}}{\mathrm{29}+\mathrm{23}}$	Automatic
14	HYDICE	400-2500	210	$\frac{\mathrm{175}-\mathrm{40}}{\mathrm{175}+\mathrm{40}}$	Automatic
15	HyMap	429-2493.8	126	$\frac{\mathrm{106}-\mathrm{25}}{\mathrm{106}+\mathrm{25}}$	Automatic
16	Hyperion	349.896-2582.28	242	$\frac{\mathrm{B200}-\mathrm{B45}}{\mathrm{B200}+\mathrm{B45}}$	Automatic
17	INSAT-2E	550-12500	6	$\frac{\mathrm{CCD\_Shortwave\_Infrared}-\mathrm{CCD\_Near\_Infrared}}{\mathrm{CCD\_Shortwave\_Infrared}+\mathrm{CCD\_Near\_Infrared}}$	Automatic
18	IRS-1C	500-1700	5	$\frac{\mathrm{SWIRI}-\mathrm{NIR}}{\mathrm{SWIRI}+\mathrm{NIR}}$	Automatic
19	IRS-1D	500-1700	5	$\frac{\mathrm{SWIRI}-\mathrm{NIR}}{\mathrm{SWIRI}+\mathrm{NIR}}$	Automatic
20	IRS-P3	403-1650	18	$\frac{\mathrm{MOS\_C}-\mathrm{MOS\_B12}}{\mathrm{MOS\_C}+\mathrm{MOS\_B12}}$	Automatic
21	LandsatETM+ (Landsat7)	450-12500	8	$\frac{\mathrm{SWIRII}-\mathrm{NIR}}{\mathrm{SWIRII}+\mathrm{NIR}}$	Automatic
22	LandsatTM (Landsat4,5)	450-12500	7	$\frac{\mathrm{SWIRII}-\mathrm{NIR}}{\mathrm{SWIRII}+\mathrm{NIR}}$	Automatic
23	MIPAS	685-2410	5	$\frac{\mathrm{SWIR2}-\mathrm{NIR1}}{\mathrm{SWIR2}+\mathrm{NIR1}}$	Automatic
24	MMR	450-2300	7	$\frac{7-4}{7+4}$	Automatic
25	MSU-MR	500-12500	6	$\frac{3-2}{3+2}$	Automatic
26	Orbview-4	450-2450	200	$\frac{\mathrm{170}-\mathrm{35}}{\mathrm{170}+\mathrm{35}}$	Automatic
27	PROBA-V	440-1635	4	$\frac{\mathrm{SWIR}-\mathrm{NIR}}{\mathrm{SWIR}+\mathrm{NIR}}$	Automatic
28	Resource21	450-1650	6	$\frac{5-4}{5+4}$	Automatic
29	SCIAMACHY	240-2380	15	$\frac{\mathrm{SWIR1}-\mathrm{PMD4\_NIR}}{\mathrm{SWIR1}+\mathrm{PMD4\_NIR}}$	Automatic
30	Sentinel-2A	433-2280	13	$\frac{\mathrm{12}-8}{\mathrm{12}+8}$	Automatic
31	SEVIRI	560-14400	12	$\frac{\mathrm{IR\_1.6\_}-\mathrm{VIS\_0.8\_}}{\mathrm{IR\_1.6\_}+\mathrm{VIS\_0.8\_}}$	Automatic
32	SPOT 4	500-1750	5	$\frac{\mathrm{middle\_infrared}-\mathrm{near\_infrared}}{\mathrm{middle\_infrared}+\mathrm{near\_infrared}}$	Automatic
33	SPOT 5	480-1750	5	$\frac{\mathrm{shortwave\_infrared}-\mathrm{near\_infrared}}{\mathrm{shortwave\_infrared}+\mathrm{near\_infrared}}$	Automatic
34	VIIRS	412-13350	22	$\frac{\mathrm{M11}-\mathrm{DNB}}{\mathrm{M11}+\mathrm{DNB}}$	Automatic
35	WorldView-3	400-2365	29	$\frac{\mathrm{SWIR\_5}-\mathrm{Near\_IR1}}{\mathrm{SWIR\_5}+\mathrm{Near\_IR1}}$	Automatic

Applications

Nr.	Name	Comment
1	Vegetation
2	Vegetation - Vitality

References

Nr.	Author/Title	Year	Comment
1	Buschmann, Claus - Fernerkundung von Pflanzen - Ausbreitung, Gesundheitszustand und Produktivitfit	1993
2	Datt, Bisun - Remote Sensing of Chlorophyll a, Chlorophyll b, Chlorophyll a+b, and Total Carotenoid Content in Eucalyptus Leaves	1998
3	Rondeaux, Geneviève; Steven, Michael; Baret, Frédéric - Optimization of soil-adjusted vegetation indices	1996
4	Tucker, C. J.; Elgin Jr, J. H.; McMurtrey Iii, J. E.; Fan, C. J. - Monitoring corn and soybean crop development with hand-held radiometer spectral data	1979
5	Xie, H.; Tian, Y. Q.; Granillo, J. A.; Keller, G. R. - Suitable remote sensing method and data for mapping and measuring active crop fields	2007

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Visualisation of Sensor-Bands

Index:

Sensors:

AHS

AISA

ALI

ARIES-1

ASTER

AVHRR

AVIRIS

Azimuth Systems AZ-16

CASI1500

Daedalus

DAIS-7915

EnMap

GLI

HYDICE

HyMap

Hyperion

INSAT-2E

IRS-1C

IRS-1D

IRS-P3

LandsatETM+ (Landsat7)

LandsatTM (Landsat4,5)

MIPAS

MMR

MSU-MR

Orbview-4

PROBA-V

Resource21

SCIAMACHY

Sentinel-2A

SEVIRI

SPOT 4

SPOT 5

VIIRS

WorldView-3

List of Indices