Quick Start & Tutorials

This section provides a focused collection of practical examples to help you get started with the Radiometric analysis in SCT. The tutorials demonstrate how to perform common tasks both through the command-line interface (CLI) and by using SCT as a Python library.

Each example walks through a specific workflow step-by-step, highlighting recommended practices and typical use cases. By following these guides, you will quickly learn how to configure and run this analysis.

Use this section as your starting point for understanding and applying the Point Target workflow effectively.

Basic usage

Radiometric Analysis can be performed using CLI or Python API, as described in the usage documentation.

Rain Forest Analysis

Rain Forest Analysis can be performed on dedicated SAR Products containing acquisitions recorded over Rain Forest sites by using the Average Elevation Profiles functionality customizing the output radiometric quantity to be gamma.

sct [--config <path_to_config>] radiometry rain-forest -p <product_path> -out <output_dir> [-g]

To perform a Radiometric Analysis using SCT CLI, run the following command in your shell, adapting the input parameters to your needs. Passing the input configuration can be avoided if default values are good enough.

The exact same thing can be done from a custom script using SCT as a library:

from pathlib import Path
from perseo_quality.core.generic_dataclasses import SARRadiometricQuantity
from sct.analyses.radiometry.main import full_average_elevation_profiles_analysis
from sct.analyses.radiometry.config import SCTRadiometricAnalysisConfig

output_netcdf_file, output_kpi_file = full_average_elevation_profiles_analysis(
    product=Path("path/to/product"),
    output_radiometric_quantity=SARRadiometricQuantity.GAMMA,
    output_directory=Path("path/to/output_directory"),
    config=config,  # optional, can be None
    graphs=True,  # optional, can be False
)