librat tutorial

Librat is a freeware Monte Carlo Ray Tracing code, developed at UCL Geography. The code Copyright is held by UCL (Prof. P. Lewis and Dr. M. Disney), but is provided free of charge and unsupported for non-commercial use. For commercial use please contact Prof. P. Lewis.

This set of Jupyter notebooks will take you through installation, running a few simple simulations, adding trees to the scene and then more complex multispectral and lidar simulations. If you need to install librat the refer to notebook 1.1.

If you have any questions regarding these tutorials pleaase contact Phil Wilkes (UCL)

Name		Name	Last commit message	Last commit date
Latest commit History 149 Commits
camera		camera
img		img
light		light
materials		materials
obj		obj
output		output
wb		wb
.gitignore		.gitignore
1.0_introduction_to_librat.ipynb		1.0_introduction_to_librat.ipynb
1.1_installing_librat.ipynb		1.1_installing_librat.ipynb
1.2_simple_sphere_example.ipynb		1.2_simple_sphere_example.ipynb
1.3_adding_objects_to_the_scene.ipynb		1.3_adding_objects_to_the_scene.ipynb
2.0_vegetated_scenes.ipynb		2.0_vegetated_scenes.ipynb
2.1_adding_a_tree_object.ipynb		2.1_adding_a_tree_object.ipynb
2.2_using_#inlude_to_create_a_forest.ipynb		2.2_using_#inlude_to_create_a_forest.ipynb
3.0_mode_14_running_spectral_simulations.ipynb		3.0_mode_14_running_spectral_simulations.ipynb
3.1_RGB_image_of_a_tree.ipynb		3.1_RGB_image_of_a_tree.ipynb
3.2_changing_view_angles.ipynb		3.2_changing_view_angles.ipynb
3.3_creating_a_brdf_model.ipynb		3.3_creating_a_brdf_model.ipynb
4.0_simulating_lidar.ipynb		4.0_simulating_lidar.ipynb
4.1_a_simple_height_map.ipynb		4.1_a_simple_height_map.ipynb
4.2_simulating_a_waveform_over_a_single_tree.ipynb		4.2_simulating_a_waveform_over_a_single_tree.ipynb
4.3_simulating_airborne_lidar_over_a_larger_scene.ipynb		4.3_simulating_airborne_lidar_over_a_larger_scene.ipynb
README.md		README.md
bbox.py		bbox.py
generate_camera_file.py		generate_camera_file.py
hips.py		hips.py
images2gif.py		images2gif.py
materials.matlib		materials.matlib
plot_polar_contour.py		plot_polar_contour.py
run_start.py		run_start.py

philwilkes/librat_in_jupyter

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