gprpy

name	gprpy
description	Process and visualize ground-penetrating radar (GPR) data with signal processing, velocity analysis, and depth conversion. Use when Claude needs to: (1) Load GPR files (.DZT, .DT1, .GPR, .rd3), (2) Apply dewow, gain, and filters to radargrams, (3) Convert two-way travel time to depth, (4) Perform CMP/WARR velocity analysis, (5) Apply topographic corrections, (6) Export processed profiles as images or SEG-Y, (7) Batch process multiple GPR survey lines.
version	1.0.0
author	Geoscience Skills
license	MIT
tags	["GPR","Ground-Penetrating Radar","Near-Surface","Signal Processing","GPRPy","Geophysics","Depth Conversion","Radargram"]
dependencies	["gprpy>=1.0.0","numpy","matplotlib","scipy"]
complements	["pyvista"]
workflow_role	data-loading

GPRPy - Ground Penetrating Radar Processing

Quick Reference

import gprpy.gprpy as gp
import matplotlib.pyplot as plt

# Load and display
data = gp.gprpyProfile()
data.importdata('profile.DZT')
data.showProfile()
plt.show()

# Access data
print(f"Traces: {data.data.shape[1]}")
print(f"Samples: {data.data.shape[0]}")
print(f"Time range: {data.twtt.max():.1f} ns")

Supported Formats

Format	Manufacturer
.DZT	GSSI
.DT1	Sensors & Software
.GPR	MALA
.rd3/.rad	MALA
.sgy	SEG-Y

Essential Operations

Basic Processing

data = gp.gprpyProfile()
data.importdata('profile.DZT')

data.dewow(window=10)           # Remove low-frequency drift
data.remMeanTrace(ntraces=50)   # Remove background ringing
data.tpowGain(power=1.5)        # Time-power gain
data.agcGain(window=25)         # Automatic gain control

data.showProfile()

Apply Filters

data.bandpassFilter(minfreq=100, maxfreq=800)  # MHz
data.lowpassFilter(maxfreq=500)
data.highpassFilter(minfreq=)