Package: SatRbedo 1.0.0

SatRbedo: Tools for Retrieving Snow and Ice Albedo from Optical Satellite Imagery

The package consists of a set of tools for retrieving snow and ice albedo from optical satellite imagery (e.g., Landsat and Sentinel-2). The tools require the following gridded datasets: (1) atmospherically-corrected surface reflectance, (2) a digital elevation model (DEM), and (3) satellite and solar azimuth and zenith angles. The package includes tools for: image pre-processing (crop grids to a specified extent, project grids with different coordinate systems, and convert data from integer to floating point); convert nadir satellite observations to off-nadir values using view-angle corrections; detect and mask topographic shadows; automatic discrimination of snow and ice surfaces; anisotropic correction of reflected radiation of glacier snow and ice using empirical parameterizations of the bidirectional reflectance distribution function (BRDF); topographic correction; and narrow-to-broadband albedo conversion.

Authors:Pablo Fuchs [aut, cre], Ruzica Dadic [ctb, ths], Shelley MacDonell [ctb, ths], Heather Purdie [ctb, ths], Brian Anderson [ctb, ths], Marwan Katurji [ctb, ths], Javier Corripio [cph]

SatRbedo_1.0.0.tar.gz
SatRbedo_1.0.0.zip(r-4.7)SatRbedo_1.0.0.zip(r-4.6)SatRbedo_1.0.0.zip(r-4.5)
SatRbedo_1.0.0.tgz(r-4.6-x86_64)SatRbedo_1.0.0.tgz(r-4.6-arm64)SatRbedo_1.0.0.tgz(r-4.5-x86_64)SatRbedo_1.0.0.tgz(r-4.5-arm64)
SatRbedo_1.0.0.tar.gz(r-4.7-arm64)SatRbedo_1.0.0.tar.gz(r-4.7-x86_64)SatRbedo_1.0.0.tar.gz(r-4.6-arm64)SatRbedo_1.0.0.tar.gz(r-4.6-x86_64)
SatRbedo_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
SatRbedo/json (API)

# Install 'SatRbedo' in R:
install.packages('SatRbedo', repos = c('https://pabl1t0x.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pabl1t0x/satrbedo/issues

Pkgdown/docs site:https://pabl1t0x.github.io

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

fortran

4.81 score 5 stars 3 scripts 14 exports 42 dependencies

Last updated from:b92813fb8d. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE175
linux-devel-x86_64NOTE177
source / vignettesOK207
linux-release-arm64NOTE168
linux-release-x86_64NOTE184
macos-release-arm64NOTE130
macos-release-x86_64NOTE358
macos-oldrel-arm64NOTE121
macos-oldrel-x86_64NOTE255
windows-develNOTE156
windows-releaseNOTE158
windows-oldrelNOTE151
wasm-releaseOK124

Exports:albedo_Fengalbedo_Knapalbedo_Liangalbedo_satcast_shadowscfactor_BRDFf_BRDFhill_shadeNDSII_histpreprocshadow_removalsnow_or_icetopo_corrtopo_splot

Dependencies:abindbase64encBiocGenericsbitopsbslibcachemclidigestEBImageevaluatefastmapfftwtoolsfontawesomefsgenericshighrhtmltoolshtmlwidgetsjpegjquerylibjsonliteknitrlatticelifecyclelocfitmemoisemimepngR6rappdirsrbibutilsRcppRCurlRdpackrlangrmarkdownsassterratifftinytexxfunyaml

Introduction to SatRbedo
Step 1: Load the data for the area of interest | Step 2: Data pre-processing | Step 3: Topographic correction | Step 4: Discrimination of snow and ice pixels | Step 5: Estimation of broadband albedo after anisotropic correction | Where to go next?

Last update: 2025-12-08
Started: 2025-11-25

Retrieving snow and ice albedo from Landsat data
Load the required packages | Input data | Topographic correction | Discrimination of snow and ice pixels | Estimation of broadband albedo after anisotropic correction

Last update: 2025-12-08
Started: 2025-11-27