usgslidar 0.0.25

A basic package to fetch USGs's LIDAR agriculture data

The USGS recently released high resolution elevation data as a lidar point cloud called USGS 3DEP in a public dataset on Amazon. This dataset is essential to build models of water flow and predict plant health and maize harvest.

The purpose of this package (usgslidar) 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. In particular, it interfaces with USGS 3DEP and fetches data available in the s3 instance.

Table of content

1. Setup
2. Usage
3. Getting started (tutorial)
4. Example notebook

Setup

To build our pipeline we actually use PDAL under the hood. Since PDAL doesnt build properly with pip in the current version, you need to use conda to manage your dependencies.

• Install Anaconda
• In a conda environment install PDAL and python-pdal

  conda install -c conda-forge pdal python-pdal
  

• Install usgslidar

  pip install usgslidar
  

Usage

Getting started

Example notebook

demo ipynb

Change Log

=============== 0.0.17 fixes logs directory and import error when running get_data script 0.0.18

0.0.19

0.0.20

0.0.21

0.0.22

0.0.23 Fixes FileNotFoundError: [Errno 2] No such file or directory: 'get_data.json' json PDAL pipeline wasnt getting packaged properly this version fixes that

0.0.24 Fixes log dir not being found if it has been created once 0.0.25 Fixes json path not being found within package fixes logger and module error on get_data module