TOOLSRTM · PACKAGE FUNCTION EXPLORER

Explore
ToolsRTM, R & Python.

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.

PROSPECT · Fluspect · LIBERTYMARMITfourSAIL · fourSAIL2 · INFORM · SPART LUT & parameter samplingSensors & spectral processingInversion & trait mappingR & Python
Language
Scientific workflow graphclick a block · incompatible options fade automatically
FUNCTION NETWORK

See how the functions connect.

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.

drag nodes · click to inspect · wheel/pinch to zoom
0 functions0 relationsR
Click any node to show its package, inputs, outputs, code example and direct connections.
Tutorials
This page is a function/API explorer, not a tutorial set. For the real, worked ToolsRTM tutorials, see:
R

ToolsRTM Tutorials

The ToolsRTM section of the RTM-Suite tutorial set, in R (leaf, canopy, soil/atmosphere models, indices, inversion).

Py

toolsrtm Tutorials

Chapters 01–06 of the RTM-Suite Python tutorial set: leaf, canopy, soil/atmosphere models and a first simulation.

Real source code and standalone scripts, on GitHub:
ToolsRTM on GitHub toolsrtm on GitHub Scripts/R on GitHub Scripts/Python on GitHub Scripts/R/Pipeline on GitHub
Development
Wageningen University & Research
CNR-IBE, National Research Council of Italy
QuantaLab, IAS-CSIC
RTM-Suite Contributors & Model Developers
Research Collaborators & Users