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$
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I will do 3d tree crown delineation and lidar point cloud segmentation
Client satisfaction is my first priority
I am a Data Analyst & Machine Learning Specialist with expertise in Applied Statistics, Exploratory Data Analysis, and Predictive Modeling in Python.
I help clients solve complex data problems throug...
About this Gig
Are you looking for professional 3D Tree Crown Delineation and LiDAR Point Cloud Segmentation? You are in the right place!
I offer expert GIS, Remote Sensing, and 3D point cloud processing services using advanced spatial algorithms (Canopy Height Models, Marker-Controlled Watershed Segmentation, PCA, and K-Means clustering).
Services Included:
- 3D LiDAR Point Cloud Processing (.las / .laz filtering & classification)
- Canopy Height Model (CHM) generation & Gaussian smoothing
- Individual Tree Crown Delineation & Apex/Treetop detection
- 3D Spatial Profile Analysis & PCA coordinate transformations
- Data Visualizations: 3D point clusters, watershed boundaries & height frequency histograms
- Python Source Code (.ipynb) using Open3D, Laspy, OpenCV, and Scikit-Learn
Deliverables:
- Processed point cloud data / CHM rasters
- High-resolution 2D/3D profile graphs and maps
- Clean Python script (if selected in package)
Why Choose Me?
- Precision & Accuracy: Paper-backed algorithmic approach
- Clean Code: Fully documented Jupyter Notebook scripts
- Fast Delivery: Clear communication and post-project support
Note: Please message me before placing an order so we can discuss your specific LiDAR dataset
Technology:
Excel
•
MATLAB
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Python
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Other
My Portfolio
FAQ
What format should my LiDAR data be in?
I work with standard formats like .las, .laz, or ASCII point clouds (XYZ). Synthetic datasets can also be processed.
Will I get the Python code used for the LiDAR processing?
Yes! Python source code (Jupyter Notebook) with OpenCV, Open3D, and Scikit-Learn is provided in the Standard and Premium packages.
