Index: Simple Ratio 750/550 Gitelson and Merzlyak 1

Simple Ratio 750/550 Gitelson and Merzlyak 1

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Basic information

Name Simple Ratio 750/550 Gitelson and Merzlyak 1
Abbreviation SR750/550
Formula 750nm 550nm
Variables
Expl. of Variables
Wavelengths 550,750
Source Original formula
Description Gitelson and Merslyak 1994

Visualisation of required spectral range

Bands
zoom Bands

Sensors

Nr. Name Spectral Range Bands Specific Formula Calculated Comment
1 AHS 428.5-13140 80 11 5 Automatic
2 AISA 400-2506.7 498 153 66 Automatic
3 ARIES-1 400-2587 105 19 8 Automatic
4 ASAS 400-1020 62 35 15 Automatic
5 AVIRIS 355.15-2515 224 42 21 Automatic
6 AVIS 550-994 74 34 1 Automatic
7 Azimuth Systems AZ-16 0-13000 12 6 3 Automatic
8 CASI EG 474.7-789.5 13 11 3 Automatic
9 CASI spectral 391-905.5 96 68 30 Automatic
10 CASI-2 Vegetation 441.53-869.54 12 8 3 Automatic
11 ChrisProbaM1 406-1003 62 A37 A13 Automatic
12 ChrisProbaM3 438-1035 18 L13 L4 Automatic
13 ChrisProbaM3A 420-910 18 L14 L5 Automatic
14 ChrisProbaM4 486-796 18 C14 C2 Automatic
15 ChrisProbaM5 438-1036 37 H18 H4 Automatic
16 CZCS 433-12500 6 5 3 Automatic
17 Daedalus 0-13000 12 6 3 Automatic
18 DAIS-7915 400-12600 79 19 8 Automatic
19 EnMap 420-2450 244 51 20 Automatic
20 GLI 375-12500 36 16 8 Automatic
21 HRSC-A 395-1015 5 Red Green Automatic
22 HYDICE 400-2500 210 35 15 Automatic
23 HyMap 429-2493.8 126 22 9 Automatic
24 Hyperion 349.896-2582.28 242 B40 B20 Automatic
25 LandsatMSS (Landsat1-3) 500-1100 4 3 1 Automatic
26 MODIS 405-14385 36 15 12 Automatic
27 MSU-MR 500-12500 6 2 1 Automatic
28 OCM-2 402-885 8 7 5 Automatic
29 Orbview-4 450-2450 200 30 10 Automatic
30 PHI 400-1000.35 244 143 61 Automatic
31 Pleiades-1 430-950 5 NIR1 Green Automatic
32 POLDER 2 443-910 2 2 1 Automatic
33 Resurs-DK1 500-800 4 4 2 Automatic
34 SCIAMACHY 240-2380 15 VIS2 VIS1 Automatic
35 SIS 450-900 5 5 3 Automatic
36 VENμS 400-920 12 9 4 Automatic
37 WorldView-2 400-1040 9 Pan Green Automatic

Applications

Nr. Name Comment
1 Vegetation
2 Vegetation - Chlorophyll

References

Nr. Author/Title Year Comment
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 Datt, Bisun - Remote Sensing of Chlorophyll a, Chlorophyll b, Chlorophyll a+b, and Total Carotenoid Content in Eucalyptus Leaves 1998
3 Gitelson, A. A.; Merzlyak, M. N. - Remote estimation of chlorophyll content in higher plant leaves 1997
4 Gitelson, Anatoly A.; Kaufman, Yoram J.; Merzlyak, Mark N. - Use of a green channel in remote sensing of global vegetation from EOS-MODIS 1996
5 Gitelson, Anatoly A.; Merzlyak, Mark N.; Zur, Y.; Stark, R.; Gritz, U. - Non-destructive and remote sensing techniques for estimation of vegetation status 2001
6 le Maire, G.; Francois, C.; Dufrene, E. - Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements 2004
7 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
8 Zarco-Tejada P.J.; Sepulcre-Cantó, G. - REMOTE SENSING OF VEGETATION BIOPHYSICAL PARAMETERS FOR DETECTING STRESS CONDITION AND LAND COVER CHANGES 2007
9 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

Azimuth Systems AZ-16

CASI EG

CASI spectral

CASI-2 Vegetation

ChrisProbaM1

ChrisProbaM3

ChrisProbaM3A

ChrisProbaM4

ChrisProbaM5

CZCS

Daedalus

DAIS-7915

EnMap

GLI

HRSC-A

HYDICE

HyMap

Hyperion

LandsatMSS (Landsat1-3)

MODIS

MSU-MR

OCM-2

Orbview-4

PHI

Pleiades-1

POLDER 2

Resurs-DK1

SCIAMACHY

SIS

VENμS

WorldView-2

List of Indices