SaaS Metrics
Scientific Software Development
Radiative Transfer
AI Synthesis & Market Narrative
Development in radiative transfer modeling is evident through new software releases like `solrat` for solar non-LTE forward-modeling and `torchrtm` for vegetation models. This indicates ongoing advancements in physics-based atmospheric and environmental sensing.
Correlated Linguistic Patterns
["real-time physics-based cloud shadow removal"
"thermodynamic atmospheric modelling"
"Solar Radiative Transfer non-LTE forward-modeling code"
"Torch-based Vegetation Radiative Transfer Model library"]
Driving Media Context
Thermo-CR: real-time physics-based cloud shadow removal via thermodynamic atmospheric modelling and multi-source fusion
Scientific Reports - Thermo-CR: real-time physics-based cloud shadow removal via thermodynamic atmospheric modelling and multi-source fusion
solrat 1.2.4
Solar Radiative Transfer non-LTE forward-modeling code.
torchrtm 1.5.8
Torch-based Vegetation Radiative Transfer Model library (PROSPECT, SAIL, SMAC)
torchrtm 1.5.7
Torch-based Vegetation Radiative Transfer Model library (PROSPECT, SAIL, SMAC)
torchrtm 1.5.3
Torch-based Vegetation Radiative Transfer Model library (PROSPECT, SAIL, SMAC)
torchrtm 1.5.4
Torch-based Vegetation Radiative Transfer Model library (PROSPECT, SAIL, SMAC)
torchrtm 1.5.0
Torch-based Vegetation Radiative Transfer Model library (PROSPECT, SAIL, SMAC)
nanodisort 0.2.0
Python bindings for the CDISORT radiative transfer solver
zdisamar 0.0.19
Oxygen A-band radiative-transfer model with Python bindings
atmorad-py 0.2.5.post1
A 3D monte carlo simulation of Atmospheric Radiative Transfer