Table S1. Relationships between vegetation indices and leaf chlorophyll content for both adaxial and abaxial data of two plants with different leaf surfaces (* the MDATT indices which performed best in each dataset. The number of samples in the “both plants” dataset was 230; the number of samples in the “white poplar” dataset was 110; the number of samples in the “Chinese elm” dataset was 120). Both plants Vegetation Indices
Table S1 (continued) Both plants Vegetation Indices
R2
RMSE (μg/cm2)
white poplar Vegetation Indices
R2
RMSE (μg/cm2)
Chinese elm Vegetation Indices
R2
RMSE (μg/cm2)
MCARI
0.58
11.60
TCARI
0.60
12.54
TCARI/OSAVI
0.63
9.09
TCARI
0.58
11.60
R672/(R550*R708)
0.59
12.66
R705/(R717+R491)
0.62
9.15
R450/R550
0.54
12.19
R450/R550
0.53
13.62
CARI
0.61
9.26
D740
0.47
13.06
CARI
0.45
14.71
R672/(R550*R708)
0.61
9.27
CARI
0.44
13.38
R434/(R496+R401)
0.43
14.98
R450/R550
0.58
9.60
VOG2
0.44
13.42
D740
0.39
15.41
R750/R710
0.57
9.79
Table S1 (continued) Both plants Vegetation Indices
R2
white poplar Vegetation Indices
RMSE (μg/cm2)
R2
RMSE (μg/cm2)
Chinese elm Vegetation Indices
R2
RMSE (μg/cm2)
D730
0.43
13.51
D730
0.36
15.84
MCARI
0.52
10.25
R750/R710
0.34
14.55
VOG2
0.35
15.92
TCARI
0.52
10.25
R860/(R550*R708)
0.30
15.00
R750/R710
0.24
17.24
NDI
0.51
10.42
RII
0.28
15.25
R672/R550
0.22
17.49
RII
0.47
10.83
NDI
0.27
15.30
R860/(R550*R708)
0.22
17.46
R860/(R550*R708)
0.46
10.93
R750/R700
0.27
15.39
RII
0.22
17.49
1/R700
0.45
11.00
R860/R550
0.26
15.42
NDI
0.22
17.46
1/R700-1/R750
0.45
11.05
1/R700-1/R750
0.26
15.42
R860/R550
0.21
17.55
1/R550-1/R750
0.44
11.16
Table S1 (continued) Both plants Vegetation Indices
R2
RMSE (μg/cm2)
white poplar Vegetation Indices
R2
RMSE (μg/cm2)
Chinese elm Vegetation Indices
R2
RMSE (μg/cm2)
R750/R550
0.26
15.44
R750/R700
0.21
17.58
R750/R700
0.42
11.27
1/R550-1/R750
0.26
15.48
R750/R550
0.21
17.60
R750/R550
0.42
11.35
1/R700
0.25
15.59
1/R700-1/R750
0.20
17.66
R860/R550
0.41
11.40
R672/R550
0.24
15.62
1/R550-1/R750
0.20
17.71
PSSRb
0.31
12.37
R434/(R496+R401)
0.21
15.99
1/R700
0.19
17.84
(R800-R635)/(R800+R635)
0.29
12.50
PSSRb:R800/R635
0.19
16.15
PSSRb
0.15
18.27
R800/R650
0.23
13.01
R800/R650
0.14
16.62
R800/R650
0.11
18.64
(R800-R650)/(R800+R650)
0.23
13.06
(R800-R635)/(R800+R635)
0.07
17.28
(R800-R635)/(R800+R635)
0.06
19.17
R680
0.14
13.82
R800/R675
0.06
17.37
D710
0.05
19.27
(R800-R675)/(R800+R675)
0.14
13.82
Table S1 (continued) Both plants Vegetation Indices
R2
white poplar Vegetation Indices
RMSE (μg/cm2)
R2
RMSE (μg/cm2)
Chinese elm Vegetation Indices
R2
RMSE (μg/cm2)
PSSRa
0.06
17.38
R950/R680
0.05
19.29
R800/R675
0.13
13.87
R950/R680
0.06
17.39
PSSRa
0.05
19.30
D710
0.13
13.88
D710
0.04
17.58
R800/R675
0.05
19.30
PSSRa
0.12
13.91
(R800-R650)/(R800+R650)
0.03
17.66
(R800-R650)/(R800+R650)
0.03
19.49
R950/R680
0.12
13.95
R680
0.01
17.84
R680
0.01
19.61
R672/R550
0.09
14.18
(R800-R675)/(R800+R675)
0.00
17.96
(R800-R675)/(R800+R675)
0.00
19.76
R434/(R496+R401)
0.06
14.44
Table S2. Relationships between vegetation indices and leaf chlorophyll content for individual plant species (* the MDATT indices which performed best in each dataset. The number of samples in the “white poplar” dataset was 55; the number of samples in the “Chinese elm” dataset was 60).
Vegetation Indices
white poplar Adaxial surface Vegetation RMSE 2 Indices R (μg/cm2)
Abaxial surface R2
RMSE 2
(μg/cm )
Vegetation Indices
Chinese elm Adaxial surface Vegetation RMSE 2 Indices R (μg/cm2)