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GeoMOER / moer-mpg-upscaling

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moer_mpg_upscaling_unit04_task2 #5

Open utterances-bot opened 1 year ago

utterances-bot commented 1 year ago

EX Deriving LiDAR products | Upscaling Biodiversity

Exercise: LiDAR products In this exercise we want to derive the most common LiDAR products DTM (Digital Terrain Model), DSM (Digital Surface Model) and CHM (Canopy Height Model). source: https://www.earthdatascience.org/images/courses/earth-analytics/lidar-raster-data-r Rasterizing the point cloud Since the point clouds are 3D , to get a DTM , DSM and CHM we need some sort of grid to rasterize this point cloud. Of course lidR provides the functions for these tasks. Have a look at rasterize_terrain(), rasterize_canopy() or the more flexible pixel_metrics(). Note- The function grid_metrics() has been now updated to three new functions cloud_metrics(), pixel_metrics(), and crown_metrics() and the

https://geomoer.github.io/moer-mpg-upscaling/unit04/unit04-04_LiDAR_metrics.html

ecoinfo-netra commented 1 year ago

Dear All, If plot(dsm) doesnt work for you ,try the following

library(raster) plot(raster(dsm))

You can also do the same for CHM.

The current terra version may have some problems in plotting the DSM/CHM.