3rd. Mar.

Hernández-Clemente R, North P R J, Hornero A, et al. Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure[J]. Remote Sensing of Environment, 2017, 193: 165-179.

To be honest, I didn't fully understand the methods used in this paper. The most important lesson I learned from this paper is about experiment design.

Although we always claim that we have continuous data, is continuous measurements always helpful for all research topics? I think the answer should be NO. For model simulation, we need a lot parameters. Meanwhile, if we want to measure a lot of parameters during the whole growing season, it could be really difficult to keep high data quality. I think this kind of sacrifice is not worthy.

Experiment design is really important.