This page provides an interactive map of ToolsRTM in R and Python, covering leaf optics, soil and canopy models, LUT and parameter sampling, sensor convolution, vegetation indices, inversion, and spatial deployment. Follow the scientific workflow from left to right and click any function to explore its inputs, outputs, and working code examples in both languages.
Every node is a real RTM-Suite function. Links follow the scientific chain: parameters/LUT → soil & water → leaf optics → canopy → sensors & spectral processing → inversion & trait mapping. Filtered to the selected target system. Drag nodes, zoom/pan, or click one to isolate its neighbourhood.
The ToolsRTM section of the RTM-Suite tutorial set, in R (leaf, canopy, soil/atmosphere models, indices, inversion).
Chapters 01–06 of the RTM-Suite Python tutorial set: leaf, canopy, soil/atmosphere models and a first simulation.

