. 2022 Apr 14;22(8):3025. doi: 10.3390/s22083025

Table 5.

Implementations of PROSPECT-MP+ (PMP+), PROSPECT-5 (P5), and PROSPECT-D(PD) using the LOPEX_ZJU dataset for spectral modelling and pigment retrieval by model inversion. $R_{mea}$ , $T_{mea}$ , and $C_{mea, i}$ stand for the measured leaf DHR, DHT, and pigment concentration and $R_{\mod}$ , $T_{\mod}$ , and $C_{inv, i}$ for the modeled or retrieved values.

Versions	Dataset	Application	Sample	Input Variables	Algorithm	Output Variable	Description
PMP⁺	LOPEX_ZJU	Forward spectral modelling	28	$C_{mea, i}, K_{i}, K_{0}, {\overline{m}}_{la}, N$	Direct computing for each leaf sample	$R_{\mod}, T_{\mod}$	$i can be Chla, Chlb, Cars or Ants, K_{i}, {\overline{m}}_{la}$ from PMP⁺.
PMP⁺	LOPEX_ZJU	Inversion for pigment retrieval	28	$R_{mea}, T_{mea}, K_{i}, K_{0}, {\overline{m}}_{la} and N$	Minimizing the merit function & a least squares optimization	$C_{inv, i}$	$i can be Chla, Chlb, Cars or Ants, K_{i}, {\overline{m}}_{la}$ from PMP⁺.
PD	LOPEX_ZJU	Forward spectral modelling	28	$C_{mea, i}, K_{i}, {\overline{m}}_{la} and N$	Direct computing for each leaf sample	$R_{\mod}, T_{\mod}$	$i$ $can be Chls, Cars or Ants, K_{i}, {\overline{m}}_{la}$ from PD.
PD	LOPEX_ZJU	Inversion for pigment retrieval	28	$R_{mea}, T_{mea}, K_{i}, {\overline{m}}_{la} and N$	Minimizing the merit function & a least squares	$C_{inv, i}$	$i can be Chls, Cars or Ants, K_{i}, {\overline{m}}_{la}$ from PD.
P5	LOPEX_ZJU	Forward spectral modelling	28	$C_{mea, i}, K_{i}, K_{0}, {\overline{m}}_{la} and N$	Direct computing for each leaf sample	$R_{\mod}, T_{\mod}$	$i can be Chls or Cars, K_{i}, {\overline{m}}_{la}$ from P5.
P5	LOPEX_ZJU	Inversion for pigment retrieval	28	$R_{mea}, T_{mea}, K_{i}, K_{0}, {\overline{m}}_{la} and N$	Minimizing the merit function & a least squares	$C_{inv, i}$	$i can be Chls or Cars, K_{i}, {\overline{m}}_{la}$ from P5.