Explore
SCOPE, in R and Python.
This page provides an interactive map of SCOPEinR in R and Python, covering the full SCOPE 2.1 forward model — SCOPE-specific LUT construction, the coupled leaf-canopy-energy balance-fluorescence run itself, its internal energy-balance and fluorescence components, and output export. Follow the scientific workflow from left to right and click any function to explore its inputs, outputs, and working code examples.
Correlated parameter sampling
getLUT.SCOPE() samples each parameter independently. For correlated priors (e.g. Cab–N, LAI–fCover) build the table first with ToolsRTM::getCor() / get_distributionLUT(), then pass it in as inputLUT.
External soil reflectance
get.SCOPE()’s rsoil argument accepts a real measured spectrum instead of the built-in getBSM() model — typically ToolsRTM::get.marmit.rsoil(), get.marmit1()/get.marmit2() or sigmoid.soil().
Trait retrieval from SCOPE output
The reflectance/SIF database from get.SCOPE.parallel() or get.merge.SCOPE() feeds ToolsRTM::hybrid_inversion(), get.inversionOpt() or getMLmodel() to retrieve traits, then getSpatialTrait() to map them.
See how the functions connect.
Every node is a real SCOPEinR function. Links follow the scientific chain: SCOPE parameter/LUT construction → the coupled forward model → its internal energy-balance and fluorescence components → output export. Filtered to the selected target system. Drag nodes, zoom/pan, or click one to isolate its neighbourhood.
SCOPEinR Tutorials
The SCOPE section of the RTM-Suite tutorial set, in R (LUTs, parallel runs, hybrid inversion, SIF vs. photosynthesis).
scopeinpython Tutorial
The SCOPE chapter of the RTM-Suite Python tutorial set: one coupled simulation, reflectance and SIF together.
