Index: Anthocyanin reflectance index
Anthocyanin reflectance index
Basic information
Name | Anthocyanin reflectance index |
---|---|
Abbreviation | ARI |
Formula | |
Variables | |
Expl. of Variables | |
Wavelengths | 550,700 |
Source | Original formula |
Description | ARI allowed an accurate estimation of anthocyanin accumulation (STD within 3.9 nmol/cm2), even in minute amounts, in intact stressed and senescing leaves. |
Visualisation of required spectral range
Sensors
Nr. | Name | Spectral Range | Bands | Specific Formula | Calculated | Comment |
---|---|---|---|---|---|---|
1 | AHS | 428.5-13140 | 80 | Automatic | ||
2 | AISA | 400-2506.7 | 498 | Automatic | ||
3 | ARIES-1 | 400-2587 | 105 | Automatic | ||
4 | ASAS | 400-1020 | 62 | Automatic | ||
5 | AVIRIS | 355.15-2515 | 224 | Automatic | ||
6 | AVIS | 550-994 | 74 | Automatic | ||
7 | AVNIR | 400-920 | 5 | Automatic | ||
8 | Azimuth Systems AZ-16 | 0-13000 | 12 | Automatic | ||
9 | CASI EG | 474.7-789.5 | 13 | Automatic | ||
10 | CASI spectral | 391-905.5 | 96 | Automatic | ||
11 | CASI-2 Vegetation | 441.53-869.54 | 12 | Automatic | ||
12 | ChrisProbaM1 | 406-1003 | 62 | Automatic | ||
13 | ChrisProbaM3 | 438-1035 | 18 | Automatic | ||
14 | ChrisProbaM3A | 420-910 | 18 | Automatic | ||
15 | ChrisProbaM4 | 486-796 | 18 | Automatic | ||
16 | ChrisProbaM5 | 438-1036 | 37 | Automatic | ||
17 | CZCS | 433-12500 | 6 | Automatic | ||
18 | Daedalus | 0-13000 | 12 | Automatic | ||
19 | DAIS-7915 | 400-12600 | 79 | Automatic | ||
20 | Deimos-2 | 420-890 | 5 | Automatic | ||
21 | DubaiSat-1 | 420-890 | 5 | Automatic | ||
22 | EnMap | 420-2450 | 244 | Automatic | ||
23 | GOMOS | 250-952 | 5 | Automatic | ||
24 | HYDICE | 400-2500 | 210 | Automatic | ||
25 | HyMap | 429-2493.8 | 126 | Automatic | ||
26 | Hyperion | 349.896-2582.28 | 242 | Automatic | ||
27 | LandsatMSS (Landsat1-3) | 500-1100 | 4 | Automatic | ||
28 | MSU-MR | 500-12500 | 6 | Automatic | ||
29 | Orbview-4 | 450-2450 | 200 | Automatic | ||
30 | PHI | 400-1000.35 | 244 | Automatic | ||
31 | Pleiades-1 | 430-950 | 5 | Automatic | ||
32 | POLDER 2 | 443-910 | 2 | Automatic | ||
33 | RapidEye | 440-850 | 5 | Automatic | ||
34 | Resurs-DK1 | 500-800 | 4 | Automatic | ||
35 | SCIAMACHY | 240-2380 | 15 | Automatic | ||
36 | Sentinel-2A | 433-2280 | 13 | Automatic | ||
37 | VENμS | 400-920 | 12 | Automatic | ||
38 | WorldView-2 | 400-1040 | 9 | Automatic |
Applications
Nr. | Name | Comment |
---|---|---|
1 | Vegetation | |
2 | Vegetation - Stress |
References
Nr. | Author/Title | Year | Comment |
---|---|---|---|
1 | Gitelson, Anatoly A.; Merzlyak, Mark N.; Zur, Y.; Stark, R.; Gritz, U. - Non-destructive and remote sensing techniques for estimation of vegetation status | 2001 |
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Visualisation of Sensor-Bands
Index:
Sensors:
AHS
AISA
ARIES-1
ASAS
AVIRIS
AVIS
AVNIR
Azimuth Systems AZ-16
CASI EG
CASI spectral
CASI-2 Vegetation
ChrisProbaM1
ChrisProbaM3
ChrisProbaM3A
ChrisProbaM4
ChrisProbaM5
CZCS
Daedalus
DAIS-7915
Deimos-2
DubaiSat-1
EnMap
GOMOS
HYDICE
HyMap
Hyperion
LandsatMSS (Landsat1-3)
MSU-MR
Orbview-4
PHI
Pleiades-1
POLDER 2
RapidEye
Resurs-DK1
SCIAMACHY
Sentinel-2A
VENμS
WorldView-2