Lidar Remote Sensing
Lidar Remote Sensing¶
In this tutorial, we will learn how to work with lidar derived raster product that represent topography and snow depth. The objectives include:
Understanding the basic concept of lidar remote sensing
Deriving snow products from lidar DEMs differencing
Analyzing lidar raster data
Identifying available lidar data for snow science
The prerequisite for this tutorial is basic experience with python and geospatial data.
We will start by exploring point cloud data and take a quick look at how rasters are created from them. Then we will derive vegetation and snow depth by differencing elevation models followed by analysing these lidar data including DEM. Finally, we will address common issue with working with lidar data from varying sources and talk about available snow focused lidar data.