中文

GPR 3D Reconstruction · Root Phenotyping

TRS

Tree Root Software for Tree · Root · Soils

Transform raw GPR profiles into 3D underground structures, root topology, density heatmaps, and phenotype metrics for research and agri-tech applications.

Apply for Trial View Results
  • Real software UI
  • 3D reconstruction
  • Exportable metrics
TRS analysis workspace
TRS GPR B-scan signal preprocessing interface

TRS focuses on the high-value steps that reduce manual interpretation and repeated plotting.

From Radar Profiles to Publishable Underground Phenotypes

01

Process Raw GPR Profiles

Denoising, gain, frequency-domain and envelope preprocessing prepare cleaner signals.

02

Reconstruct 3D Structures

Line and arc scan routes turn 2D slices into inspectable underground structures.

03

Export Phenotype Evidence

Generate topology, density, depth, angle and slice plots for interpretation.

A Clear Processing Pipeline

Built for researchers who need reproducible figures and metrics from experimental data.

  1. 01 Import
  2. 02 Preprocess
  3. 03 Analyze
  4. 04 Reconstruct
  5. 05 Phenotype
  6. 06 Export

The page focuses on how TRS turns data into interpretable outputs.

Core Capabilities Without Extra Noise

01

Signal Preprocessing

Time Zero, Background Removal, Gain, Bandpass, Dewow, Hilbert, Envelope and FFT.

02

Multi-line Analysis

Compare B-scans, run migration and locate anomalous response regions.

03

3D Visualization

Inspect line or arc scan reconstructions with volume, opacity and slice controls.

04

Root Phenotyping

Export topology, density, depth-node, growth angle and slice plots.

Key outputs from reconstruction to phenotyping are shown as evidence, not replaced by long copy.

Trust Built With Real Outputs

TRS Arc Route 3D reconstruction visualization
Arc Route 3D Reconstruction Organizes multi-profile radar responses into spatial structures for underground root inspection.
TRS XOY root topology map
XOY Topology Analyze root connectivity and planar distribution.
TRS XY root density heatmap
Density Heatmap Locate root aggregation and spatial heterogeneity.
TRS depth node count chart
Depth Distribution Quantify node changes across depth intervals.
TRS growth angle distribution chart
Growth Angle Assess extension direction and angular traits.
TRS multi-depth root slice plots
Depth Slices Compare root morphology across soil layers.

TRS is grounded in a long-running line of GPR, root detection, and underground reconstruction research.

Selected Publications

The project was funded by the National Natural Science Foundation of China (32071679) and the Beijing Natural Science Foundation (6202023).

2021-2026 Research continuity
IEEE TGRS Representative venue
32071679 NSFC research project
2026

Uncertainty-Aware Tree Root Morphology and Phenotypic Parameter Reconstructed from GPR Signal via Physics-Informed Variational Networks

Zhao X, Zhang X, Lv S, et al.

IEEE Trans. Geosci. Remote Sens.

DOI: DOI pending

2026

Rapid and Accurate Assessment of Field Scale Soil Moisture Using GPR Deep Learning-Based Inversion

Lv S, Zhang X, Zhao X, et al.

Measurement

DOI: DOI pending

2025

Deep Learning Inversion of GPR With Prior Physical Velocity Field for Complex Subsurface Root System

Zhang X, Zhao X, Lv S, et al.

IEEE Trans. Geosci. Remote Sens.

DOI: DOI pending

Core Team

Three Core Profiles Drive TRS

This page does not display unprovided names, portraits, or institutions, so the section is presented as role-based profiles. In practice, these cover academic direction, algorithm implementation, and experimental validation.

01

Academic Lead

Research direction and method design

Defines the research problem, experimental design, and publication scope so the software stays aligned with scientific goals.

  • Research framing
  • Experimental design
  • Publications
02

Algorithms & Software

GPR processing and 3D reconstruction

Implements preprocessing, reconstruction workflows, interactive visualization, and exportable outputs with reproducible behavior.

  • Signal processing
  • 3D visualization
  • Software engineering
03

Experiments & Applications

Field data and scenario validation

Handles sample collection, validation experiments, and on-site testing to move the software from lab workflows to real cases.

  • Field collection
  • Validation tests
  • Application rollout

Get Access

Apply for TRS Trial

After submission, the team will review your research or application scenario and arrange trial support.