Overview

T-Mart (Topography-adjusted Monte-carlo Adjacency-effect Radiative Transfer code)

T-Mart solves the radiative transfer in a 3D surface-atmosphere system. This can be used in modelling and correcting for the adjacency effect. Although initially designed for aquatic environments, T-Mart can also handle simple terrestrial applications.

AE correction

See Tab Instruction - Adjacency-Effect Correction for details.

AE modelling

See Tab Instruction - Basic Modelling and Instruction - Advanced Modelling for details.

Installation

1 - Create a conda environment and activate it:

conda create --name tmart python=3.9
conda activate tmart

2 - Install dependencies:

conda install -c conda-forge Py6S rasterio==1.3.9

3 - Install tmart:

pip3 install tmart

Publications

Wu, Y., Knudby, A., & Lapen, D. (2023). Topography-adjusted Monte Carlo simulation of the adjacency effect in remote sensing of coastal and inland waters. Journal of Quantitative Spectroscopy and Radiative Transfer, 108589. https://doi.org/10.1016/j.jqsrt.2023.108589

Wu, Y., Knudby, A., Pahlevan, N., Lapen, D., & Zeng, C. (2024). Sensor-generic adjacency-effect correction for remote sensing of coastal and inland waters. Remote Sensing of Environment, 315, 114433. https://doi.org/10.1016/j.rse.2024.114433

---

Home page: https://github.com/yulunwu8/tmart

Yulun Wu | February 28, 2025 | yulunwu8@gmail.com