\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**No.** & **Product** & \begin{tabular}{c} **Spatial** \\ **Resolution** \\ \end{tabular} & \
\begin{tabular}{c} **Temporal** \\ **Resolution** \\ \end{tabular} &
\begin{tabular}{c} **Temporal** \\ **Range** \\ \end{tabular} & **References** \\ \hline
1 & Leaf area index & 1–5 km, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [14,15] \\
2 & Albedo & 1–5 km, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [16, 17, 18] \\
3 & Emissivity & 1–5 km, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [19,20] \\
4 & FAPAR & 1–5 km, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [21] \\  & Downward & 0.05\({}^{\circ}\) & 1 day & 1983, 1993, \\  & shortwave radiation & & 2000–2017 & [22] \\
6 & PAR & 0.05\({}^{\circ}\) & 1 day & 1983, 1993 & \\  & Longwave net & & 2000–2017 & [22] \\
7 & radiation & 0.05\({}^{\circ}\) & Instantaneous & 1983, 1993, \\  & & radiation & 2003, 2013 & [23,24] \\
8 & All-wave net & & 1983, 1993 & \\  & radiation & & 2000–2017 & [25] \\
9 & Land Surface & & 1983, 1993, \\  & Temperature & & 2003, 2013 & [26] \\
10 & Fraction of vegetation & & 500 m, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [27] \\  & cover & & 1-5 km, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [28] \\
11 & Latent heat (ET) & 1–5 km, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [28] \\
12 & Gross Primary & 1–5 km, 0.05\({}^{\circ}\) & 8 days & 1981–2017 & [29] \\  & Productivity & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Overview of the Global Land Surface Satellite (GLASS) products and their characteristics. Figure 2: Major Chinese satellites relevant to land remote sensing. field in the early 1980s under the supervision of Professor [PERSON]. He developed the well-known Li-Strahler geometric-optical vegetation reflectance model [30; 31], and later coupled it with radiative transfer modeling [32; 33]. He pioneered the simplified \"kernels\" to model land surface directional reflectance for developing the MODIS surface albedo products [34], These \"kernels\" have been widely used for analyzing various satellite observations. He also explored the angular behavior and scaling of the thermal-infrared remote sensing signatures [35], and proposed to constrain the remote sensing inversion using prior knowledge [36]. In the second half of his career, Professor [PERSON] devoted his time and energy to facilitate and promote quantitative land remote sensing research in China by leading several extensive research projects, directing the Research Institute on Remote Sensing under the Chinese Academy of Sciences, and helping establish the State Key Laboratory of Remote Sensing Science under the Chinese Ministry of Science and Technology. Those are just few examples of areas where Professor [PERSON] has made outstanding contributions. A comprehensive summary of his achievements has been provided by [PERSON] et al. [37]. In memory of Professor [PERSON], we organized the Third National Forum on Quantitative Remote Sensing at Beijing Normal University during 14-15 July 2017. There were 296 meeting participants from 65 research institutes and universities in China, and almost all aspects of quantitative land remote sensing were discussed. The papers of this Special Issue are mainly from this forum. Although 40 articles cannot comprehensively characterize different aspects of quantitative land remote sensing in China, they clearly represent the current level of research in this area by Chinese scientists.