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A Python module that allows for easy access to Light Detection and Ranging (lidar) point cloud data. It also includes a module to visualize and transform publicly available satellite and LIDAR data.

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nebasam/ETL-tool-for-extracting-Lidar-data

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Datafetch

A Python package for retrieving 3DEP's geospatial data and enable users to easily manipulate, transform, subsample and visualize the data.

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Description

LiDAR (light detection and ranging) is a popular remote sensing mechanism used for measuring the exact distance of an object on the earth's surface. Since the introduction of GPS technology, it has become a widely used method for calculating accurate geospatial measurements. These geospatial data are used for different analysis purposes.

The Purpose of this project is to help users retrieve these data and enable them to use it easily

The Project will make it easier for users to access the AWS public dataset.


Project Structure

Data Source Used:

Dependancies

This package is dependent on the following python packages.

  • PDAL
  • Laspy
  • Geopandas
  • shapely

How to Install

The package is available on PyPi python packages repository. You will be able to install it using the command:

pip install AgriTech==0.1

License

MIT

Example

example of the package is demonstrated in the notebooks folder

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A Python module that allows for easy access to Light Detection and Ranging (lidar) point cloud data. It also includes a module to visualize and transform publicly available satellite and LIDAR data.

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