An Enhanced Canopy Cover Layer for Hydrologic Modeling

The objective of this project is to develop a canopy-cover raster from point data. The study watershed is the South Fork Flathead River, Montana. Tree canopy cover, as measured at permanent forest monitoring plots, will be modeled as a function of NLCD cover class, PRISM mean annual precipitation, elevation, slope, and aspect. Alternative models will be compared using k-fold cross-validation. The final model will be calibrated with all data points and then applied to the entire study watershed.

本项目的目标在于基于点数据构建冠层覆盖的栅格模型。研究流域位于蒙大拿州的南 Fork Flathead 河流域。树木冠层覆盖度，如永久性森林监测点所测得，将被建模为 NLCD 覆盖类别、PRISM 平均年降水量、海拔、坡度和方位角的函数。通过 k 折交叉验证，将比较不同的模型。最终模型将通过所有数据点进行校准，并随后应用于整个研究流域。