Module to fetch, transform and visualize 3dep lidar data

The aim of this prodject is to produce an easy to use, reliable and well designed python module that domain experts and data scientists can use to fetch, visualise, and transform publicly available satellite and LIDAR data. Module will interface with USGS 3DEP and fetch data using their API.

• Python

• PDAL
• scipy
• shapely
• geopandas

How to setup the module

1. Clone the repo

   git clone https://github.com/SameC137/AgriTech

2. Move to the package directory

   cd elevation_3DEP

3. Install with pip

   pip install .

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

Import

from eleveation_3DEP.fetch import FetchData

Getting Data

FetchData(region).fetch_elevation(geometry,csr)

returns a dataframe containeing elevation for points inside geometry

Visualization in 3D

FetchData(region).visualize3D(dataframe)

Visualization in 2D

FetchData(region).visualize2D(dataframe)

Standardize into grid

FetchData(region).standardize(dataframe,resoulution)

Topographic wetness index

FetchData(region).topographicWetnessIndex(dataframe,resolution)

For more a full list of functionality and parameters, please refer to the Documentation or checkout the notebook demonstration Demonstration

See the open issues for a list of proposed features (and known issues).

Distributed under the MIT License. See LICENSE for more information.