serbinsh/R-PROSPECT

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Created over 11 years ago
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serbinsh/R-PROSPECT

serbinsh

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R functions for running PROSPECT family of leaf radiative transfer models

R-FieldSpectra

R library for importing and processing field spectroscopy data collected with ASD and Spectral Evolution instruments

SSerbin_NGEEArctic_Spectra_Trait

Developing relationships between leaf and canopy reflectance and Arctic vegetation functional traits

amf3_seus

A repository for code, scripts, and snippets related to the development of the ARM AMF3 SEUS deployment

Jupyter Notebook

ctsm_containers

A work-in-progress repository for developing builds of the CTSM and CLM-FATES models

Jupyter Notebook

SSerbin_etal_2019_NewPhytologist

Multi-biome PLSR model to estimate leaf mass per area using full-range (i.e. 400-2500 nm) leaf reflectance data

isofit_docker

Jupyter Notebook

Prototype_Multi-Species_Leaf_Vcmax_PLSR_Model

A prototype multi-species spectra-trait PSLR model for estimating leaf Vcmax from spectral data

rUnispecDC

Version of rHyperSpec that is Unispec DC specific

Spectra_PLSR_models

A repository of PLSR regression models relating leaf or canopy spectra to plant properties

prosail_docker

nasa_sbg_code

A sandbox for the NASA SBG project

elm_containers

A work-in-progress repository for developing builds of the ELM and ELM-FATES models

NASA_FFT_Leaf_Spectra-Trait_Models

Leaf spectra-trait PLSR models to estimate foliar functional traits from fresh leaf spectroscopy data. The models were developed using data collected as part of the NASA Forest Functional Types (FFT) project (Serbin et al. 2014)

edts-datasets

This is a repository of public datasets for the Ecosystem Demography Test Suite (EDTS)

SSerbin_etal_2014_EcoApps

Leaf spectra-trait PLSR models to estimate foliar functional traits from dried and ground leaf spectroscopy data