Index: Enhanced Vegetation Index

Enhanced Vegetation Index

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Basic information

Name Enhanced Vegetation Index
Abbreviation EVI
Formula 2.5 ( NIR - RED ) NIR - RED
Variables
Expl. of Variables
Wavelengths 420:480,640:760,780:1400
Source Original formula
Description

Visualisation of required spectral range

Bands
zoom Bands

Sensors

Nr. Name Spectral Range Bands Specific Formula Calculated Comment
1 AHS 428.5-13140 80 2.5 ( 20 - 10 ) 20 - 10 Automatic
2 AISA 400-2506.7 498 2.5 ( 264 - 131 ) 264 - 131 Automatic
3 ALI 433-2350 10 2.5 ( MS___5' - MS___3 ) MS___5' - MS___3 Automatic
4 ALOS 0-890 6 2.5 ( 5 - 4 ) 5 - 4 Automatic
5 ARIES-1 400-2587 105 2.5 ( 36 - 16 ) 36 - 16 Automatic
6 ASAS 400-1020 62 2.5 ( 62 - 30 ) 62 - 30 Automatic
7 AVIRIS 355.15-2515 224 2.5 ( 78 - 37 ) 78 - 37 Automatic
8 AVNIR 400-920 5 2.5 ( 5 - 4 ) 5 - 4 Automatic
9 Azimuth Systems AZ-16 0-13000 12 2.5 ( 8 - 6 ) 8 - 6 Automatic
10 CASI 550 400-1000 288 2.5 ( 288 - 144 ) 288 - 144 Automatic
11 CASI EG 474.7-789.5 13 2.5 ( 13 - 7 ) 13 - 7 Automatic
12 CASI spectral 391-905.5 96 2.5 ( 96 - 58 ) 96 - 58 Automatic
13 CASI-2 Vegetation 441.53-869.54 12 2.5 ( 12 - 5 ) 12 - 5 Automatic
14 CASI1500 380-1500 288 2.5 ( 183 - 83 ) 183 - 83 Automatic
15 CASI_spatial 417-806 11 2.5 ( 11 - 8 ) 11 - 8 Automatic
16 CBERS-1/CBERS-2 450-890 8 2.5 ( infrared - red ) infrared - red Automatic
17 ChrisProbaM1 406-1003 62 2.5 ( A62 - A29 ) A62 - A29 Automatic
18 ChrisProbaM2 406-1036 18 2.5 ( W18 - W14 ) W18 - W14 Automatic
19 ChrisProbaM3 438-1035 18 2.5 ( L18 - L9 ) L18 - L9 Automatic
20 ChrisProbaM3A 420-910 18 2.5 ( L18 - L10 ) L18 - L10 Automatic
21 ChrisProbaM5 438-1036 37 2.5 ( H37 - H10 ) H37 - H10 Automatic
22 Daedalus 0-13000 12 2.5 ( 8 - 6 ) 8 - 6 Automatic
23 DAIS-7915 400-12600 79 2.5 ( 32 - 16 ) 32 - 16 Automatic
24 Deimos-2 420-890 5 2.5 ( MS4 - MS3 ) MS4 - MS3 Automatic
25 DubaiSat-1 420-890 5 2.5 ( MS4_Near_Infrared - MS3_Red ) MS4_Near_Infrared - MS3_Red Automatic
26 EnMap 420-2450 244 2.5 ( 108 - 44 ) 108 - 44 Automatic
27 Formosat-2 450-900 5 2.5 ( B4 - B3 ) B4 - B3 Automatic
28 GeoEye-1 450-920 5 2.5 ( NIR1 - Red ) NIR1 - Red Automatic
29 GLI 375-12500 36 2.5 ( 24 - 14 ) 24 - 14 Automatic
30 GOMOS 250-952 5 2.5 ( NIR2 - Red_phonometer ) NIR2 - Red_phonometer Automatic
31 HRSC-A 395-1015 5 2.5 ( Infrared - Red ) Infrared - Red Automatic
32 HYDICE 400-2500 210 2.5 ( 69 - 30 ) 69 - 30 Automatic
33 HyMap 429-2493.8 126 2.5 ( 44 - 18 ) 44 - 18 Automatic
34 Hyperion 349.896-2582.28 242 2.5 ( B95 - B35 ) B95 - B35 Automatic
35 IKONOS-2 445-900 5 2.5 ( nahe_Infrarot - Rot ) nahe_Infrarot - Rot Automatic
36 IRS-1A 450-860 4 2.5 ( 4 - 3 ) 4 - 3 Automatic
37 IRS-1B 450-860 4 2.5 ( 4 - 3 ) 4 - 3 Automatic
38 IRS-P2 450-860 4 2.5 ( 4 - 3 ) 4 - 3 Automatic
39 IRS-P3 403-1650 18 2.5 ( MOS_B11 - MOS_B8 ) MOS_B11 - MOS_B8 Automatic
40 IRS-P4 402-1700 9 2.5 ( 8 - 6 ) 8 - 6 Automatic
41 Kompsat-2 0-900 5 2.5 ( 5 - 4 ) 5 - 4 Automatic
42 Landsat 8 435-12510 11 2.5 ( Near_Infrared - Red ) Near_Infrared - Red Manual
43 LandsatETM+ (Landsat7) 450-12500 8 2.5 ( NIR - Red ) NIR - Red Automatic
44 LandsatTM (Landsat4,5) 450-12500 7 2.5 ( NIR - Red ) NIR - Red Automatic
45 MERIS 407.5-905 15 2.5 ( 15 - 9 ) 15 - 9 Automatic
46 MERSI 402-12750 20 2.5 ( 18 - 12 ) 18 - 12 Automatic
47 MMR 450-2300 7 2.5 ( 5 - 3 ) 5 - 3 Automatic
48 MODIS 405-14385 36 2.5 ( 5 - 14 ) 5 - 14 Automatic
49 MVISR 430-12200 10 2.5 ( 10 - 1 ) 10 - 1 Automatic
50 OCM-2 402-885 8 2.5 ( 8 - 7 ) 8 - 7 Automatic
51 Orbview-1 450-900 5 2.5 ( 5 - 4 ) 5 - 4 Automatic
52 Orbview-4 450-2450 200 2.5 ( 64 - 25 ) 64 - 25 Automatic
53 PHI 400-1000.35 244 2.5 ( 244 - 122 ) 244 - 122 Automatic
54 Pleiades-1 430-950 5 2.5 ( NIR1 - Red ) NIR1 - Red Automatic
55 PROBA-V 440-1635 4 2.5 ( NIR - RED ) NIR - RED Automatic
56 QuickBird 450-900 5 2.5 ( near_infrared - red ) near_infrared - red Automatic
57 RapidEye 440-850 5 2.5 ( Near_Infrared - Red_edge ) Near_Infrared - Red_edge Automatic
58 Resource21 450-1650 6 2.5 ( 4 - 3 ) 4 - 3 Automatic
59 SCIAMACHY 240-2380 15 2.5 ( NIR2 - VIS2 ) NIR2 - VIS2 Automatic
60 SeaWiFS 412-905 8 2.5 ( 8 - 6 ) 8 - 6 Automatic
61 Sentinel-2A 433-2280 13 2.5 ( 9 - 5 ) 9 - 5 Automatic
62 SIS 450-900 5 2.5 ( 5 - 4 ) 5 - 4 Automatic
63 SPOT 6 450-890 5 2.5 ( NIR - RED ) NIR - RED Automatic
64 SPOT 7 450-890 5 2.5 ( NIR - RED ) NIR - RED Automatic
65 VENμS 400-920 12 2.5 ( 12 - 8 ) 12 - 8 Automatic
66 VIIRS 412-13350 22 2.5 ( DNB - I1 ) DNB - I1 Automatic
67 VIRR 430-12500 10 2.5 ( 2 - 1 ) 2 - 1 Automatic
68 WorldView-2 400-1040 9 2.5 ( Near_Infrared_2_Band - Red ) Near_Infrared_2_Band - Red Automatic
69 WorldView-3 400-2365 29 2.5 ( SWIR_1 - Red_Edge ) SWIR_1 - Red_Edge Automatic

Applications

Nr. Name Comment
1 Vegetation
2 Vegetation - Biomass
3 Vegetation - LAI

References

Nr. Author/Title Year Comment
1 ENVI Help
2 Ahamed, T.; Tian, L.; Zhang, Y.; Ting, K. C. - A review of remote sensing methods for biomass feedstock production 2011
3 Dorigo, W. A.; Zurita-Milla, R.; de Wit, A. J. W.; Brazile, J.; Singh, R.; Schaepman, M. E. - A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling 2007
4 Ehammer, Andrea; Fritsch, Sebastian; Conrad, Christopher; Lamers, John; Dech, Stefan - Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements 2010
5 Glenn, E. P.; Nagler, P. L.; Huete, A. R. - Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing 2010
6 Glenn, Edward; Huete, Alfredo; Nagler, Pamela; Nelson, Stephen - Review - Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape 2008
7 Huete, A.; Didan, K.; Miura, T.; Rodriguez, E. P.; Gao, X.; Ferreira, L. G. - Overview of the radiometric and biophysical performance of the MODIS vegetation indices 2002
8 Huete, A.R.; Justice, C.; Van Leeuwen, W. - Modis Vegetation Index (MOD 13). Algorithm Theoretical Basis Document Version 3 1999
9 Hunt Jr., E. Raymond; Daughtry, C. S. T.; Eitel, Jan U. H.; Long, D. S. - Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index 2011
10 Hüttich, Christian; Gessner, Ursula; Herold, Martin; Strohbach, Ben; Schmidt, Michael; Keil, Manfred; Dech, Stefan - On the Suitability of MODIS Time Series Metrics to Map Vegetation Types in Dry Savanna Ecosystems: A Case Study in the Kalahari of NE Namibia 2009
11 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
12 Miura, T.; Yoshioka, H.; Fujiwara, K.; Yamamoto, H., - Inter-Comparison of ASTER and MODIS Surface Reflectance and Vegetation Index Products for Synergistic Applications to Natural Resource Monitoring 2008
13 Nagler, Pamela L.; Scott, Russell L.; Westenburg, Craig; Cleverly, James R.; Glenn, Edward P.; Huete, Alfredo R. - Evapotranspiration on western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and Bowen ratio flux towers 2005

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Visualisation of Sensor-Bands

Index:

Sensors:

AHS

AISA

ALI

ALOS

ARIES-1

ASAS

AVIRIS

AVNIR

Azimuth Systems AZ-16

CASI 550

CASI EG

CASI spectral

CASI-2 Vegetation

CASI1500

CASI_spatial

CBERS-1/CBERS-2

ChrisProbaM1

ChrisProbaM2

ChrisProbaM3

ChrisProbaM3A

ChrisProbaM5

Daedalus

DAIS-7915

Deimos-2

DubaiSat-1

EnMap

Formosat-2

GeoEye-1

GLI

GOMOS

HRSC-A

HYDICE

HyMap

Hyperion

IKONOS-2

IRS-1A

IRS-1B

IRS-P2

IRS-P3

IRS-P4

Kompsat-2

Landsat 8

LandsatETM+ (Landsat7)

LandsatTM (Landsat4,5)

MERIS

MERSI

MMR

MODIS

MVISR

OCM-2

Orbview-1

Orbview-4

PHI

Pleiades-1

PROBA-V

QuickBird

RapidEye

Resource21

SCIAMACHY

SeaWiFS

Sentinel-2A

SIS

SPOT 6

SPOT 7

VENμS

VIIRS

VIRR

WorldView-2

WorldView-3

List of Indices