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hsdar (version 0.4.1)

Manage, Analyse and Simulate Hyperspectral Data

Description

Transformation of reflectance spectra, calculation of vegetation indices and red edge parameters, spectral resampling for hyperspectral remote sensing, simulation of reflectance and transmittance using the leaf reflectance model PROSPECT and the canopy reflectance model PROSAIL.

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Version

Install

install.packages('hsdar')

Monthly Downloads

283

Version

0.4.1

License

GPL

Maintainer

Lukas W Lehnert

Last Published

February 23rd, 2016

Functions in hsdar (0.4.1)

Clman-class

* Clman class
Nri-class

* Nri class
DistMat3D-class

* DistMat3D class
cubePlot

cubePlot
caret::createDataPartition-methods

Methods for Function createDataPartition
deletecp

Delete fix point
caret::setResponse

Set response variable
cor.test

Test for association/correlation between nri values and vector of samples
caret::featurePlot-methods

Methods for Function featurePlot
caret::train-methods

Methods for Function train
glm.nri

(Generalised) Linear models from normalised ratio indices
apply.Speclib

Apply function for class Speclib
getcp

Get fix points
idSpeclib

Handling IDs of spectra
Speclib-class

* Speclib class
feature_properties

Calculation of properties of features
caret::sbf

Methods for Function sbf
distMat3D

Methods to create, manipulate and query objects of class 'DistMat3D'.
smgm

SMGM
caret::preProcess-methods

Methods for Function preProcess
spectralResampling

Spectral resampling
caret::rfe

Methods for Function rfe
import_USGS

import USGS spectra
PROSPECT

Simulate plant spectrum
Specfeat-class

* Specfeat class
response_functions

Satellite sensor response functions
HyperSpecRaster

Handle hyperspectral cubes using raster package
checkhull

Check continuum line
cut_specfeat

Cut absorption features
addcp

Add fix point
makehull

Check continuum line
caret::gafs

Methods for Function gafs
rastermeta

Create list containing rastermeta-information
getNRI

Return nri-values
Nri-methods

Methods for * Nri-class
HyperSpecRaster-class

HyperSpecRaster* class
transformSpeclib

Transform spectra
define.features

Definition of absorption features
meanfilter

Apply mean filter
spectra

Handling spectra
plot.Nri

Plot function for (g)lm.nri and cor.test.nri
clman

* Clman class
plot.Speclib

Plot speclib
updatecl

Check continuum line
bandnames

Handling names of bands
merge

Merge speclibs
speclib

Methods to create objects of class Speclib
caret::createFolds-methods

Methods for Function createFolds and createMultiFolds
smoothSpeclib

Smooth spectra
rededge

Red edge parameter
cancer_spectra

Hyperspectral samples
PROSAIL

Simulate canopy spectrum
Raster-methods

Rasterbased methods for spectra
plot.Specfeat

Plot function for class Specfeat
subset.speclib

Subsetting speclibs
nri

Normalised ratio index
dist.speclib

Distance between spectra
bdri

Band depth ratio indices
attribute

Handling attributes of spectra
hsdardocs

Load additional documents
usagehistory

History of usage
caret::createResample-methods

Methods for Function createResample
apply.DistMat3D

Apply function for class DistMat3D
t.test

t-test for nri values
caret::showCaretParameters

Show caret related parameters
unmix

Unmix spectra
spectral_data

Hyperspectral samples
get.response

Satellite response functions
derivative.speclib

Derivation
vegindex

vegindex
nri_best_performance

Best performing model(s) with NRI
caret::safs

Methods for Function safs
mask

Mask spectra
hsdar-package

Manage, analyse and simulate hyperspectral data in R
get.gaussian.response

Gaussian response function
get.sensor.characteristics

Sensor characteristics
dim.speclib

Dimensions of Speclib
get.sensor.name

Satellite sensor name
wavelength

Handling wavelength
caret::setPredictor

Set predictor variable(s)
get_reflectance

Get reflectance values
specfeat

Function to isolate spectral features
soilindex

soilindex