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hsdar (version 0.5.1)

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

468

Version

0.5.1

License

GPL

Maintainer

Lukas W Lehnert

Last Published

December 9th, 2016

Functions in hsdar (0.5.1)

apply.Speclib

Apply function for class Speclib
addcp

Add fix point
caret::sbf

Methods for Function sbf
caret::safs

Methods for Function safs
apply.DistMat3D

Apply function for class DistMat3D
bandnames

Handling names of bands
caret::gafs

Methods for Function gafs
caret::rfe

Methods for Function rfe
checkhull

Check continuum line
attribute

Handling attributes of spectra
Clman

* Clman class
cor.test

Test for association/correlation between nri values and vector of samples
Clman-class

* Clman class
deletecp

Delete fix point
define.features

Definition of absorption features
cut_specfeat

Cut absorption features
cubePlot

cubePlot
get.response

Satellite response functions
get.sensor.name

Satellite sensor name
dim.speclib

Dimensions of Speclib
getNRI

Return nri-values
getcp

Get fix points
dist.speclib

Distance between spectra
get_reflectance

Get reflectance values
DistMat3D-class

* DistMat3D class
get.gaussian.response

Gaussian response function
distMat3D

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

(Generalised) Linear models from normalised ratio indices
meanfilter

Apply mean filter
mask

Mask spectra
makehull

Check continuum line
idSpeclib

Handling IDs of spectra
hsdardocs

Load additional documents
HyperSpecRaster

Handle hyperspectral cubes using raster package
hsdar-package

Manage, analyse and simulate hyperspectral data in R
HyperSpecRaster-class

HyperSpecRaster* class
hsdar_parallel

hsdar_parallel
rastermeta

Create list containing rastermeta-information
rededge

Red edge parameter
merge

Merge speclibs
Nri-methods

Methods for * Nri-class
nri_best_performance

Best performing model(s) with NRI
Nri-class

* Nri class
plot.Nri

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

Plot function for class Specfeat
Raster-methods

Rasterbased methods for spectra
plot.Speclib

Plot speclib
response_functions

Satellite sensor response functions
get.sensor.characteristics

Sensor characteristics
spectralResampling

Spectral resampling
subset.nri

Subsetting Nri-objects
Specfeat-class

* Specfeat class
specfeat

Function to isolate spectral features
Speclib-class

* Speclib class
updatecl

Check continuum line
unmix

Unmix spectra
speclib

Methods to create objects of class Speclib
spectra

Handling spectra
spectral_data

Hyperspectral samples
wavelength

Handling wavelength and fwhm
t.test

t-test for nri values
subset.speclib

Subsetting speclibs
smgm

SMGM
smoothSpeclib

Smooth spectra
usagehistory

History of usage
cancer_spectra

Hyperspectral samples
import_USGS

import USGS spectra
as.hyperSpec

hyperSpec