--------------Spectral index-------------- |
Formula |
Source |
I |
1 |
BGI |
R1 450/R1 550
|
ZARCO-TEJADA et al. 2003ZARCO-TEJADA, P. J., et al. Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects. Remote Sensing of Environment, v.84, n.2, p.283-294. 2003. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00113-X >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00113-X. https://doi.org/10.1016/S0034-4257(02)00...
|
2 |
PRI_5 |
R1 550 *R1 700 *(R1 700-R1 550)/R1 670
|
LIU et al. 2011 |
3 |
TVI |
[120*(R1 750-R1 550)-200*(R1 670-R1 550)]/2 |
BROGE AND LEBLANC 2001BROGE, N. H.; E. LEBLANC. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sensing of Environment, v.76, n.2, p.156-172. 2001. Available from: <Available from: https://doi.org/10.1016/S0034-4257(00)00197-8 >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(00)00197-8. https://doi.org/10.1016/S0034-4257(00)00...
|
4 |
CARI |
(R1 700/R1 670)*[(R1 670 *a +R1 670 *b)/SQRT(a2 + 1)] a = (R1 700-R1 550)/150; b = R1 550-550*a |
KIM et al. 1994 |
5 |
CRI |
100/R1 510-100/R1 550
|
GITELSON et al. 2002 |
II |
6 |
Datt |
(R1 850-R1 710)/(R1 850-R1 680) |
DATT 1999 |
7 |
DD |
(R1 749-R1 720)-(R1 701-R1 672) |
LE MAIRE et al. 2004 |
8 |
Gitelson 2 |
(R1 750-R1 800/R1 695-R1 740)-1 |
GITELSON et al. 2003 |
9 |
Vogelmann |
R1 740/R1 720
|
VOGELMANN et al. 1993VOGELMANN, J. E., et al. Red edge spectral measurements from sugar maple leaves. International Journal of Remote Sensing, v.14, n.8, p.1563-1575. 1993. Available from: <Available from: https://doi.org/10.1080/01431169308953986 >. Accessed: Aug. 20, 2021. doi: 10.1080/01431169308953986. https://doi.org/10.1080/0143116930895398...
|
10 |
Vogelmann3 |
D2 715/D2 705
|
VOGELMANN et al. 1993VOGELMANN, J. E., et al. Red edge spectral measurements from sugar maple leaves. International Journal of Remote Sensing, v.14, n.8, p.1563-1575. 1993. Available from: <Available from: https://doi.org/10.1080/01431169308953986 >. Accessed: Aug. 20, 2021. doi: 10.1080/01431169308953986. https://doi.org/10.1080/0143116930895398...
|
III |
11 |
NDVI750
|
(R1 750 - R1 705)/(R1 750 + R1 705) |
GITELSON & MERZLYAK 1994 |
12 |
NDVI800
|
(R1 800 - R1 680)/(R1 800 + R1 680) |
RICHARDSON et al. 2002 |
13 |
SR800
|
R1 800/R1 680
|
SIMS & GAMON 2002SIMS, D. A.; J. A. GAMON. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment, v.81, n.2-3, p.337-354. 2002. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00010-X >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00010-X. https://doi.org/10.1016/S0034-4257(02)00...
|
14 |
SR750
|
R1 750/R1 705
|
SIMS & GAMON 2002SIMS, D. A.; J. A. GAMON. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment, v.81, n.2-3, p.337-354. 2002. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00010-X >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00010-X. https://doi.org/10.1016/S0034-4257(02)00...
|
15 |
mND |
(R1 750 - R1 705)/(R1 750 + R1 705 - 2R1 445) |
SIMS & GAMON 2002SIMS, D. A.; J. A. GAMON. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment, v.81, n.2-3, p.337-354. 2002. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00010-X >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00010-X. https://doi.org/10.1016/S0034-4257(02)00...
|
16 |
mSR |
(R1 750-R1 445)/(R1 705-R1 445) |
SIMS & GAMON 2002SIMS, D. A.; J. A. GAMON. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment, v.81, n.2-3, p.337-354. 2002. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00010-X >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00010-X. https://doi.org/10.1016/S0034-4257(02)00...
|
17 |
MCARI |
[(R1 700 - R1 670) - 0.2(R1 700 -R1 550)]R1 700/R1 670
|
HABOUDANE et al. 2002HABOUDANE, D., et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, v.81, n.2, p.416-426. 2002. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00018-4 >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00018-4. https://doi.org/10.1016/S0034-4257(02)00...
|
18 |
TCARI |
3[(R1 700 - R1 670) - 0.2(R1 700 -R1 550)R1 700/R1 670] |
HABOUDANE et al. 2002HABOUDANE, D., et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, v.81, n.2, p.416-426. 2002. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00018-4 >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00018-4. https://doi.org/10.1016/S0034-4257(02)00...
|
19 |
OSAVI |
(1+0.16)(R1 800-R1 670)/(R1 800+R1 670+0.16) |
HABOUDANE et al. 2002HABOUDANE, D., et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, v.81, n.2, p.416-426. 2002. Available from: <Available from: https://doi.org/10.1016/S0034-4257(02)00018-4 >. Accessed: Aug. 20, 2021. doi: 10.1016/S0034-4257(02)00018-4. https://doi.org/10.1016/S0034-4257(02)00...
|