@article {bnh-5085, title = {Retrieval of forest fuel moisture content using a coupled radiative transfer model}, journal = {Environmental Modelling \& Software}, volume = {95}, year = {2017}, month = {09/2017}, pages = {290-302}, chapter = {290}, abstract = {

Forest fuel moisture content (FMC) dynamics are paramount to assessing the forest wildfire risk and its behavior. This variable can be retrieved from remotely sensed data using a\ radiative transfer\ model (RTM). However, previous studies generally treated the background of\ forest canopy\ as soil surface while ignored the fact that the soil may be covered by grass canopy. In this study, we focused on retrieving FMC of such forestry structure by coupling two RTMs: PROSAIL and PRO-GeoSail. The spectra of lower grass canopy were firstly simulated by the PROSAIL model, which was then coupled into the PRO-GeoSail model. The results showed that the accuracy level of retrieved FMC using this coupled model was better than that when the PRO-GeoSail model used alone. Further analysis revealed that low FMC condition fostered by fire weather condition had an important influence on the breakout of a fire during the study period.

}, doi = {https://doi.org/10.1016/j.envsoft.2017.06.006}, url = {https://www.sciencedirect.com/science/article/pii/S1364815216304431}, author = {Xingwen Quan and Binbin He and Marta Yebra and Changming Yin and Zhanmang Liao and Xing Li} }