Index: Tasselled Cap - wetness

Tasselled Cap - wetness

Basic information

Name	Tasselled Cap - wetness
Abbreviation	WET
Formula	$0.1509 [450:520] + 0.1973 [520:600] + 0.3279 [630:690] + 0.3406 [760:900] - 0.7112 [1550:1750] - 0.4572 [2080:2350]$
Variables
Expl. of Variables
Wavelengths	450:520,520:600,630:690,760:900,1550:1750,2080:2350
Source	Original formula
Description	F?r Landsat: 0.1509(Band 1) + 0.1973(Band 2) + 0.3279(Band 3) + 0.3406(Band 4) - 0.7112(Band 5) - 0.4572(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	$0.1509 2 + 0.1973 5 + 0.3279 8 + 0.3406 14 - 0.7112 22 - 0.4572 48$	Automatic
2	AISA	400-2506.7	498	$0.1509 37 + 0.1973 70 + 0.3279 114 + 0.3406 187 - 0.7112 357 - 0.4572 450$	Automatic
3	ALI	433-2350	10	$0.1509 MS___1 + 0.1973 MS___2 + 0.3279 MS___3 + 0.3406 MS___4' - 0.7112 MS___5 - 0.4572 MS___7$	Automatic
4	ARIES-1	400-2587	105	$0.1509 5 + 0.1973 9 + 0.3279 14 + 0.3406 23 - 0.7112 54 - 0.4572 81$	Automatic
5	AVIRIS	355.15-2515	224	$0.1509 14 + 0.1973 22 + 0.3279 32 + 0.3406 51 - 0.7112 136 - 0.4572 194$	Automatic
6	Azimuth Systems AZ-16	0-13000	12	$0.1509 2 + 0.1973 3 + 0.3279 5 + 0.3406 7 - 0.7112 9 - 0.4572 10$	Automatic
7	Daedalus	0-13000	12	$0.1509 2 + 0.1973 3 + 0.3279 5 + 0.3406 7 - 0.7112 9 - 0.4572 10$	Automatic
8	DAIS-7915	400-12600	79	$0.1509 5 + 0.1973 9 + 0.3279 14 + 0.3406 23 - 0.7112 36 - 0.4572 51$	Automatic
9	EnMap	420-2450	244	$0.1509 10 + 0.1973 22 + 0.3279 37 + 0.3406 64 - 0.7112 164 - 0.4572 221$	Automatic
10	GLI	375-12500	36	$0.1509 6 + 0.1973 9 + 0.3279 22 + 0.3406 23 - 0.7112 28 - 0.4572 29$	Automatic
11	HYDICE	400-2500	210	$0.1509 9 + 0.1973 16 + 0.3279 26 + 0.3406 43 - 0.7112 125 - 0.4572 182$	Automatic
12	HyMap	429-2493.8	126	$0.1509 4 + 0.1973 9 + 0.3279 16 + 0.3406 27 - 0.7112 81 - 0.4572 109$	Automatic
13	Hyperion	349.896-2582.28	242	$0.1509 B14 + 0.1973 B21 + 0.3279 B31 + 0.3406 B48 - 0.7112 B150 - 0.4572 B206$	Automatic
14	Landsat 8	435-12510	11	$0.1509 Blue + 0.1973 Green + 0.3279 Red + 0.3406 Near_Infrared - 0.7112 SWIR_1 - 0.4572 SWIR_2$	Automatic
15	LandsatETM+ (Landsat7)	450-12500	8	$0.1509 Blue + 0.1973 Green + 0.3279 Red + 0.3406 NIR - 0.7112 SWIRI - 0.4572 SWIRII$	Automatic
16	LandsatTM (Landsat4,5)	450-12500	7	$0.1509 Blue + 0.1973 Green + 0.3279 Red + 0.3406 NIR - 0.7112 SWIRI - 0.4572 SWIRII$	Automatic
17	MERSI	402-12750	20	$0.1509 8 + 0.1973 10 + 0.3279 3 + 0.3406 4 - 0.7112 19 - 0.4572 20$	Automatic
18	MMR	450-2300	7	$0.1509 1 + 0.1973 2 + 0.3279 3 + 0.3406 4 - 0.7112 6 - 0.4572 7$	Automatic
19	MODIS	405-14385	36	$0.1509 10 + 0.1973 4 + 0.3279 1 + 0.3406 2 - 0.7112 6 - 0.4572 7$	Automatic
20	Orbview-4	450-2450	200	$0.1509 4 + 0.1973 11 + 0.3279 21 + 0.3406 38 - 0.7112 120 - 0.4572 177$	Automatic
21	SCIAMACHY	240-2380	15	$0.1509 PMD2_VIS + 0.1973 VIS1 + 0.3279 PMD3_VIS + 0.3406 PMD4_NIR - 0.7112 PMD5_SWIR - 0.4572 SWIR2$	Automatic
22	Sentinel-2A	433-2280	13	$0.1509 2 + 0.1973 3 + 0.3279 4 + 0.3406 8 - 0.7112 11 - 0.4572 12$	Automatic
23	VIIRS	412-13350	22	$0.1509 M3 + 0.1973 M4 + 0.3279 I1 + 0.3406 DNB - 0.7112 M10 - 0.4572 M11$	Automatic
24	WorldView-3	400-2365	29	$0.1509 Blue + 0.1973 Green + 0.3279 Red + 0.3406 Near_IR1 - 0.7112 SWIR_3 - 0.4572 SWIR_6$	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	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
6	Lee, W. S.; Alchanatis, V.; Yang, C.; Hirafuji, M.; Moshou, D.; Li, C. - Sensing technologies for precision specialty crop production	2010
7	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