DASPy

DASPy is an open-source project that provides a python package for DAS (Distributed Acoustic Sensing) data processing.

The goal of the DASPy project is to lower the bar for DAS data processing and promote the development of DAS seismology.

Contents

• Installation
  • Install via Pip
  • Install via Conda
  • Manual Installation
• Reading DAS Data
  • Reading Data from Files
  • Customize a Read Function
  • Converting from Instances of Other Packages
  • Section
  • DASDateTime
• Processing continuous data
  • Collection
  • Data Selection
  • Continuous Data Processing
• Basic Processing
  • Preprocessing
  • Filtering
  • Frequency Attribute
• Visualization
  • Call Class Method
  • Call the function
• Channel Analysis
  • Location Interpolation
  • Turning Point Detection
  • Channel Quality Checking
• Denoising
  • Spike Removal
  • Common Mode Noise Removal
  • Stochastic Noise Removal
• Wavefield Decomposition
  • FK Filtering
  • Curvelet Windowing Technology
• Strain-velocity Conversion
  • FK Rescaling Method
  • Curvelet Transform Method
  • Time-Domain Slowness Detection Method
  • Comparison of Three Methods

If you have any questions, please contact mailto:hmz2018@mail.ustc.edu.cn.