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ToolsRTM
0.62.5
Reference
Articles
Tutorials
01. Getting Started with ToolsRTM
02. From Leaf to Canopy Reflectance
03. SPART: Soil-Plant-Atmosphere Radiative Transfer
04. Comparing Radiative Transfer Models
05. Building Look-Up Tables
06. Large-Scale and Parallel RTM Simulation
07. From RTM Spectra to Satellite Observations: Sensor Convolution
08. Hyperspectral and VNIR Sensor Convolution
09. Vegetation Indices and Spectral Features
10. Understanding RTM Sensitivity
11. From Physics to Vegetation Traits: Hybrid Inversion
12. Comparing ML Algorithms for RTM Inversion
13. Deep Learning for RTM Inversion
14. End-to-End RTM Inversion Pipeline
15. From Satellite Reflectance to Vegetation Traits: Real EO Application
16. MARMIT + fourSAIL + SPART: Realistic Soil Moisture, Canopy to Atmosphere
17. Monitoring a Forest Site Through Time
18. Data-Driven Spatial Index Mapping with getSpatial_index()
Manuals
The ToolsRTM package
Getting-LUTs
Trait inversion: merit-function matching, ML, and deep learning
Full pipeline: simulate, convolve, invert
Model comparison and sensitivity analysis
Suite Home
SCOPEinR
define spectral region
define_bands.Rd
define spectral region
Usage
define_bands
(
)
Value
spectral regions