Index: Simple Ratio 750/710 Zarco-Tejada & Miller (ZM)

Simple Ratio 750/710 Zarco-Tejada & Miller (ZM)

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Basic information

Name	Simple Ratio 750/710 Zarco-Tejada & Miller (ZM)
Abbreviation	SR750/710
Formula	$\frac{\mathrm{750nm}}{\mathrm{710nm}}$
Variables
Expl. of Variables
Wavelengths	710,750
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	$\frac{\mathrm{11}}{\mathrm{10}}$	Automatic
2	AISA	400-2506.7	498	$\frac{\mathrm{153}}{\mathrm{135}}$	Automatic
3	ARIES-1	400-2587	105	$\frac{\mathrm{19}}{\mathrm{17}}$	Automatic
4	ASAS	400-1020	62	$\frac{\mathrm{35}}{\mathrm{31}}$	Automatic
5	AVIRIS	355.15-2515	224	$\frac{\mathrm{42}}{\mathrm{38}}$	Automatic
6	AVIS	550-994	74	$\frac{\mathrm{34}}{\mathrm{27}}$	Automatic
7	CASI EG	474.7-789.5	13	$\frac{\mathrm{11}}{9}$	Automatic
8	CASI spectral	391-905.5	96	$\frac{\mathrm{68}}{\mathrm{60}}$	Automatic
9	CASI-2 Vegetation	441.53-869.54	12	$\frac{8}{6}$	Automatic
10	ChrisProbaM1	406-1003	62	$\frac{\mathrm{A37}}{\mathrm{A31}}$	Automatic
11	ChrisProbaM3	438-1035	18	$\frac{\mathrm{L13}}{\mathrm{L11}}$	Automatic
12	ChrisProbaM3A	420-910	18	$\frac{\mathrm{L14}}{\mathrm{L13}}$	Automatic
13	ChrisProbaM4	486-796	18	$\frac{\mathrm{C14}}{\mathrm{C10}}$	Automatic
14	ChrisProbaM5	438-1036	37	$\frac{\mathrm{H18}}{\mathrm{H12}}$	Automatic
15	DAIS-7915	400-12600	79	$\frac{\mathrm{19}}{\mathrm{17}}$	Automatic
16	EnMap	420-2450	244	$\frac{\mathrm{51}}{\mathrm{45}}$	Automatic
17	GLI	375-12500	36	$\frac{\mathrm{16}}{\mathrm{14}}$	Automatic
18	HYDICE	400-2500	210	$\frac{\mathrm{35}}{\mathrm{31}}$	Automatic
19	HyMap	429-2493.8	126	$\frac{\mathrm{22}}{\mathrm{19}}$	Automatic
20	Hyperion	349.896-2582.28	242	$\frac{\mathrm{B40}}{\mathrm{B36}}$	Automatic
21	Orbview-4	450-2450	200	$\frac{\mathrm{30}}{\mathrm{26}}$	Automatic
22	PHI	400-1000.35	244	$\frac{\mathrm{143}}{\mathrm{127}}$	Automatic
23	Pleiades-1	430-950	5	$\frac{\mathrm{NIR1}}{\mathrm{Red}}$	Automatic
24	SEVIRI	560-14400	12	$\frac{\mathrm{VIS\_0.8\_}}{\mathrm{HRV}}$	Automatic
25	VENμS	400-920	12	$\frac{9}{8}$	Automatic
26	VIIRS	412-13350	22	$\frac{\mathrm{M6}}{\mathrm{I1}}$	Automatic
27	WorldView-2	400-1040	9	$\frac{\mathrm{Pan}}{\mathrm{Red\_Edge\_Band}}$	Automatic

Applications

Nr.	Name	Comment
1	Vegetation
2	Vegetation - Chlorophyll

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	Underwood, Emma; Ustin, Susan; DiPietro, Deanne - Mapping nonnative plants using hyperspectral imagery	2003
3	Wu, Chaoyang; Niu, Zheng; Tang, Quan; Huang, Wenjiang; Rivard, Benoit; Feng, Jilu - Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices	2009
4	Zarco-Tejada P.J.; Sepulcre-Cantó, G. - REMOTE SENSING OF VEGETATION BIOPHYSICAL PARAMETERS FOR DETECTING STRESS CONDITION AND LAND COVER CHANGES	2007
5	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

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Visualisation of Sensor-Bands

Index:

Sensors:

AHS

AISA

ARIES-1

ASAS

AVIRIS

AVIS

CASI EG

CASI spectral

CASI-2 Vegetation

ChrisProbaM1

ChrisProbaM3

ChrisProbaM3A

ChrisProbaM4

ChrisProbaM5

DAIS-7915

EnMap

GLI

HYDICE

HyMap

Hyperion

Orbview-4

PHI

Pleiades-1

SEVIRI

VENμS

VIIRS

WorldView-2

List of Indices