Index: Tasselled Cap - vegetation

Tasselled Cap - vegetation

Basic information

Name	Tasselled Cap - vegetation
Abbreviation	GVI
Formula	$-0.2848 [450:520] - 0.2435 [520:600] - 0.5436 [630:690] + 0.7243 [760:900] + 0.0840 [1550:1750] - 0.1800 [2080:2350]$
Variables
Expl. of Variables
Wavelengths	450:520,520:600,630:690,760:900,1550:1750,2080:2350
Source	Original formula
Description	F?r Landsat: -0.2848(Band 1) - 0.2435(Band 2) - 0.5436(Band 3)+ 0.7243(Band 4) + 0.0840(Band 5) - 0.1800(Band 7)

Visualisation of required spectral range

Bands
zoom Bands

Sensors

Nr.	Name	Spectral Range	Bands	Specific Formula	Calculated
1	AHS	428.5-13140	80	$-0.2848 2 - 0.2435 5 - 0.5436 8 + 0.7243 14 + 0.0840 22 - 0.1800 48$	Automatic
2	AISA	400-2506.7	498	$-0.2848 37 - 0.2435 70 - 0.5436 114 + 0.7243 187 + 0.0840 357 - 0.1800 450$	Automatic
3	ALI	433-2350	10	$-0.2848 MS___1 - 0.2435 MS___2 - 0.5436 MS___3 + 0.7243 MS___4' + 0.0840 MS___5 - 0.1800 MS___7$	Automatic
4	ARIES-1	400-2587	105	$-0.2848 5 - 0.2435 9 - 0.5436 14 + 0.7243 23 + 0.0840 54 - 0.1800 81$	Automatic
5	AVIRIS	355.15-2515	224	$-0.2848 14 - 0.2435 22 - 0.5436 32 + 0.7243 51 + 0.0840 136 - 0.1800 194$	Automatic
6	Azimuth Systems AZ-16	0-13000	12	$-0.2848 2 - 0.2435 3 - 0.5436 5 + 0.7243 7 + 0.0840 9 - 0.1800 10$	Automatic
7	Daedalus	0-13000	12	$-0.2848 2 - 0.2435 3 - 0.5436 5 + 0.7243 7 + 0.0840 9 - 0.1800 10$	Automatic
8	DAIS-7915	400-12600	79	$-0.2848 5 - 0.2435 9 - 0.5436 14 + 0.7243 23 + 0.0840 36 - 0.1800 51$	Automatic
9	EnMap	420-2450	244	$-0.2848 10 - 0.2435 22 - 0.5436 37 + 0.7243 64 + 0.0840 164 - 0.1800 221$	Automatic
10	GLI	375-12500	36	$-0.2848 6 - 0.2435 9 - 0.5436 22 + 0.7243 23 + 0.0840 28 - 0.1800 29$	Automatic
11	HYDICE	400-2500	210	$-0.2848 9 - 0.2435 16 - 0.5436 26 + 0.7243 43 + 0.0840 125 - 0.1800 182$	Automatic
12	HyMap	429-2493.8	126	$-0.2848 4 - 0.2435 9 - 0.5436 16 + 0.7243 27 + 0.0840 81 - 0.1800 109$	Automatic
13	Hyperion	349.896-2582.28	242	$-0.2848 B14 - 0.2435 B21 - 0.5436 B31 + 0.7243 B48 + 0.0840 B150 - 0.1800 B206$	Automatic
14	Landsat 8	435-12510	11	$-0.2848 Blue - 0.2435 Green - 0.5436 Red + 0.7243 Near_Infrared + 0.0840 SWIR_1 - 0.1800 SWIR_2$	Automatic
15	LandsatETM+ (Landsat7)	450-12500	8	$-0.2848 Blue - 0.2435 Green - 0.5436 Red + 0.7243 NIR + 0.0840 SWIRI - 0.1800 SWIRII$	Automatic
16	LandsatTM (Landsat4,5)	450-12500	7	$-0.2848 Blue - 0.2435 Green - 0.5436 Red + 0.7243 NIR + 0.0840 SWIRI - 0.1800 SWIRII$	Automatic
17	MERSI	402-12750	20	$-0.2848 8 - 0.2435 10 - 0.5436 3 + 0.7243 4 + 0.0840 19 - 0.1800 20$	Automatic
18	MMR	450-2300	7	$-0.2848 1 - 0.2435 2 - 0.5436 3 + 0.7243 4 + 0.0840 6 - 0.1800 7$	Automatic
19	MODIS	405-14385	36	$-0.2848 10 - 0.2435 4 - 0.5436 1 + 0.7243 2 + 0.0840 6 - 0.1800 7$	Automatic
20	Orbview-4	450-2450	200	$-0.2848 4 - 0.2435 11 - 0.5436 21 + 0.7243 38 + 0.0840 120 - 0.1800 177$	Automatic
21	SCIAMACHY	240-2380	15	$-0.2848 PMD2_VIS - 0.2435 VIS1 - 0.5436 PMD3_VIS + 0.7243 PMD4_NIR + 0.0840 PMD5_SWIR - 0.1800 SWIR2$	Automatic
22	Sentinel-2A	433-2280	13	$-0.2848 2 - 0.2435 3 - 0.5436 4 + 0.7243 8 + 0.0840 11 - 0.1800 12$	Automatic
23	VIIRS	412-13350	22	$-0.2848 M3 - 0.2435 M4 - 0.5436 I1 + 0.7243 DNB + 0.0840 M10 - 0.1800 M11$	Automatic
24	WorldView-3	400-2365	29	$-0.2848 Blue - 0.2435 Green - 0.5436 Red + 0.7243 Near_IR1 + 0.0840 SWIR_3 - 0.1800 SWIR_6$	Automatic

Applications

Nr.	Name	Comment
1	Vegetation

References

Nr.	Author/Title	Year
1	Bannari, A.; Morin, D.; Bonn, F.; Huete, A. R. - A review of vegetation indices	1995
2	Crist, Eric P.; Cicone, Richard C. - A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap	1984
3	Ferencz, C.; Bognar, P.; Lichtenberger, J.; Hamar, D.; Tarscai, G.; Timar, G.; Molnar, G.; Pasztor, S.; Steinbach, P.; Szekely, B.; Ferencz, O. E.; Ferencz-Arkos, I. - Crop yield estimation by satellite remote sensing	2004
4	Friedl, M. A.; Schimel, D. S.; Michaelsen, J.; Davis, F. W.; Walker, H. - Estimating grassland biomass and leaf area index using ground and satellite data	1994
5	Huete, A. R.; Jackson, R. D. - Soil and atmosphere influences on the spectra of partial canopies	1988
6	Jacobsen, Anne; Broge, Niels H.; Hansen, Birger U. - Monitoring wheat fields and grasslands using spectral reflectance data	1995
7	Kauth, R. J. and Thomas, G. S. - The tasselled cap - a graphic description of the spectraltemporal development of agricultural crops as seen by Landsat	1976
8	Lee, W. S.; Alchanatis, V.; Yang, C.; Hirafuji, M.; Moshou, D.; Li, C. - Sensing technologies for precision specialty crop production	2010
9	Moulin, S.; Bondeau, A.; Delecolle, R. - Combining agricultural crop models and satellite observations: from field to regional scales	1998
10	Richardson, A. J.; Everitt, J. H. - Using spectral vegetation indices to estimate rangeland productivity	1992
11	Richardson, A.J.; Wiegand, C.L. - Distinguishing vegetation from soil background information	1977
12	Schlerf, M.; Atzberger, C.; Hill, J. - Remote sensing of forest biophysical variables using HyMap imaging spectrometer data	2005
13	Thenkabail, P. S.; Smith, R. B.; De Pauw, E. - Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization	2002