GitHub - Rezaul-Bhuiyan/3D_tree_crown_modelling: This project estimates tree crown volumes using 3D modeling and high-resolution LiDAR datasets (AHN4 and Kavel_10) in Nijmegen, Netherlands. The study focuses on tree detection, biophysical parameter estimation, and crown volume mapping, highlighting applications in urban green space management and ecosystem services. Tools: Python, LiDAR, GIS soft

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This project estimates tree crown volumes using 3D modeling and high-resolution LiDAR datasets (AHN4 and Kavel_10) in Nijmegen, Netherlands. The study focuses on tree detection, biophysical parameter estimation, and crown volume mapping, highlighting applications in urban green space management and ecosystem services. Tools: Python, LiDAR, GIS soft

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
AHN4_tree-detected.png		AHN4_tree-detected.png
IR_Rezaul_bhuiyan_s3003337.pdf		IR_Rezaul_bhuiyan_s3003337.pdf
K_10_tree-detected.png		K_10_tree-detected.png
Raw_AHN.png		Raw_AHN.png
Raw_k10.png		Raw_k10.png
Raw_point_cloud.png		Raw_point_cloud.png
Reclass_k10.png		Reclass_k10.png
__init__.py		__init__.py
abstract_processor.py		abstract_processor.py
ahn_fuser.py		ahn_fuser.py
alpha_shape_utils.py		alpha_shape_utils.py
alternative.ipynb		alternative.ipynb
building_fuser.py		building_fuser.py
cable_fuser.py		cable_fuser.py
car_fuser.py		car_fuser.py
crwon.png		crwon.png
crwon_m.png		crwon_m.png
d.png		d.png
g.png		g.png
geotiff_utils.py		geotiff_utils.py
getimagev2.jpg		getimagev2.jpg
helper_functions.py		helper_functions.py
label_connected_comp.py		label_connected_comp.py
labels.py		labels.py
layer_lcc.py		layer_lcc.py
method.png		method.png
misslcasss_k10.png		misslcasss_k10.png
noise_filter.py		noise_filter.py
pipeline.py		pipeline.py
pole_fuser.py		pole_fuser.py
region_growing.py		region_growing.py
road_fuser.py		road_fuser.py
street_furniture_fuser.py		street_furniture_fuser.py
trunk_utils.py		trunk_utils.py