Index: Simple Ratio 695/760 Carter2

Simple Ratio 695/760 Carter2

Basic information

Name	Simple Ratio 695/760 Carter2
Abbreviation	Ctr2
Formula	$\frac{695nm}{760nm}$
Variables
Expl. of Variables
Wavelengths	695,760
Source	Original formula
Description

Visualisation of required spectral range

Bands
zoom Bands

Sensors

Nr.	Name	Spectral Range	Bands	Specific Formula	Calculated
1	AHS	428.5-13140	80	$\frac{9}{12}$	Automatic
2	AISA	400-2506.7	498	$\frac{129}{157}$	Automatic
3	ARIES-1	400-2587	105	$\frac{16}{19}$	Automatic
4	ASAS	400-1020	62	$\frac{30}{36}$	Automatic
5	AVIRIS	355.15-2515	224	$\frac{37}{44}$	Automatic
6	AVIS	550-994	74	$\frac{25}{35}$	Automatic
7	Azimuth Systems AZ-16	0-13000	12	$\frac{6}{7}$	Automatic
8	CASI 550	400-1000	288	$\frac{142}{173}$	Automatic
9	CASI EG	474.7-789.5	13	$\frac{7}{12}$	Manual
10	CASI spectral	391-905.5	96	$\frac{57}{69}$	Automatic
11	ChrisProbaM1	406-1003	62	$\frac{A29}{A39}$	Automatic
12	ChrisProbaM5	438-1036	37	$\frac{H10}{H20}$	Automatic
13	Daedalus	0-13000	12	$\frac{6}{7}$	Automatic
14	DAIS-7915	400-12600	79	$\frac{16}{20}$	Automatic
15	Deimos-2	420-890	5	$\frac{MS3}{MS4}$	Automatic
16	DubaiSat-1	420-890	5	$\frac{MS3_Red}{MS4_Near_Infrared}$	Automatic
17	EnMap	420-2450	244	$\frac{43}{53}$	Automatic
18	GOMOS	250-952	5	$\frac{Red_phonometer}{NIR1}$	Automatic
19	HYDICE	400-2500	210	$\frac{30}{36}$	Automatic
20	HyMap	429-2493.8	126	$\frac{18}{22}$	Automatic
21	Hyperion	349.896-2582.28	242	$\frac{B34}{B41}$	Automatic
22	IKONOS-2	445-900	5	$\frac{Rot}{nahe_Infrarot}$	Automatic
23	LandsatMSS (Landsat1-3)	500-1100	4	$\frac{2}{3}$	Automatic
24	MERSI	402-12750	20	$\frac{12}{13}$	Automatic
25	MSU-MR	500-12500	6	$\frac{1}{2}$	Automatic
26	Orbview-4	450-2450	200	$\frac{25}{31}$	Automatic
27	PHI	400-1000.35	244	$\frac{120}{147}$	Automatic
28	Pleiades-1	430-950	5	$\frac{Red}{NIR1}$	Automatic
29	RapidEye	440-850	5	$\frac{Red_edge}{Near_Infrared}$	Automatic
30	Resurs-DK1	500-800	4	$\frac{3}{4}$	Automatic
31	SEVIRI	560-14400	12	$\frac{HRV}{VIS_0.8_}$	Automatic
32	VIIRS	412-13350	22	$\frac{I1}{M6}$	Automatic
33	WorldView-2	400-1040	9	$\frac{Red}{Pan}$	Automatic

Applications

Nr.	Name	Comment
1	Vegetation
2	Vegetation - Chlorophyll
3	Vegetation - Stress

References

Nr.	Author/Title	Year
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	Carter, Gregory A. - Ratios of leaf reflectances in narrow wavebands as indicators of plant stress	1994
3	Carter, Gregory A.; Cibula, William G.; Miller, Richard L. - Narrow-band Reflectance Imagery Compared with ThermalImagery for Early Detection of Plant Stress	1996
4	Cloutis, E. A.; Connery, D. R.; Major, D. J.; Dover, F. J. - Airborne multi-spectral monitoring of agricultural crop status: effect of time of year, crop type and crop condition parameter	1996
5	le Maire, G.; Francois, C.; Dufrene, E. - Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements	2004
6	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
7	Zarco-Tejada P.J.; Sepulcre-Cant?, G. - REMOTE SENSING OF VEGETATION BIOPHYSICAL PARAMETERS FOR DETECTING STRESS CONDITION AND LAND COVER CHANGES	2007
8	Zarco-Tejada, P. J.; Miller, J. R.; Noland, T. L.; Mohammed, G. H.; Sampson, P. H. - Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data	2001