appelmar

Bochum University of Applied SciencesBochum, Germany

Pinned Repositories

bfast
bfast package is now further developed on Github (migrated from svn R-Forge on 2/12/2016)
Language:R4 3 21
gdalcubes
Creating and analyzing Earth observation data cubes in R
Language:C++120 10 6828
gdalcubes_cpp
Earth observation data cubes from GDAL image collections
Language:C++74 7 287
ogh2021
Materials for OpenGeoHub summer school 2021 tutorial on "Analyzing massive amounts of EO data in the cloud with R, gdalcubes, and STAC"
Language:TeX54
opengeohub_summerschool2020
Materials for OpenGeoHub summer school 2020 tutorial on "Creating and Analyzing Multi-Variable Earth Observation Data Cubes in R"
Language:R9 4 05
scalbf-wur
slides and material for a workshop on scalable change detection with BFAST at Wageningen university, March 2017
Language:HTML33
scidb4gdal
A GDAL driver for SciDB arrays
Language:C++19 6 27
scidb4geo
A SciDB Plugin for Managing Spatial and Temporal Reference Information of Arrays
Language:PLpgSQL9 2 14
stmra
R package for Multiresolution Approximations of Spatiotemporal Gaussian Processes
Language:R11 3 15
STpconv
Data-driven gap filling of satellite image time series using neural networks with spatiotemporal partial convolutions
Language:Python5 3 00

appelmar's Repositories

appelmar/gdalcubes
Creating and analyzing Earth observation data cubes in R
Language:C++120 10 6828
appelmar/gdalcubes_cpp
Earth observation data cubes from GDAL image collections
Language:C++74 7 287
appelmar/stmra
R package for Multiresolution Approximations of Spatiotemporal Gaussian Processes
Language:R11 3 15
appelmar/opengeohub_summerschool2020
Materials for OpenGeoHub summer school 2020 tutorial on "Creating and Analyzing Multi-Variable Earth Observation Data Cubes in R"
Language:R9 4 05
appelmar/opengeohub_summerschool2019
Language:R8 4 02
appelmar/ogh2021
Materials for OpenGeoHub summer school 2021 tutorial on "Analyzing massive amounts of EO data in the cloud with R, gdalcubes, and STAC"
Language:TeX54
appelmar/STpconv
Data-driven gap filling of satellite image time series using neural networks with spatiotemporal partial convolutions
Language:Python5 3 00
appelmar/bfast
bfast package is now further developed on Github (migrated from svn R-Forge on 2/12/2016)
Language:R4 3 21
appelmar/r-spatial-cloud
Blog post on the analysis of satellite images with STAC, COGs, and data cubes in the cloud (work in progress)
Language:HTML3 3 01
appelmar/stmra_supplement
Language:R3 3 02
appelmar/CONAE_2022
Materials for CONAE spring school tutorial on "Analyzing satellite image collections on public cloud platforms with R"
Language:TeX2 2 02
appelmar/edcforum2017
Online material for presentation and workshop at EDC Forum 2017
Language:R1 4 0
appelmar/openeo.org
openeo.org landing page
Language:CSS1 2 0
appelmar/stars
Spatiotemporal tidy arrays for R
Language:R11
appelmar/appelmar.github.io
Personal website
Language:SCSS2 0
appelmar/cglops-change-detection
Enhancements to the CGLOPS workflow via land cover change detection
Language:R2 0
appelmar/eo_reduce
Language:C++3 0
appelmar/eo_webtile
Tiling of Earth observation images with on-the-fly band selection, color scaling, and reprojection using GDAL
Language:C++3 0
appelmar/eo_webtools
A collection of tools for web-based working with Earth observation data
appelmar/eo_webview
Language:HTML3 0
appelmar/gdalcubes_docs
Language:Dockerfile
appelmar/gdalcubes_website
gdalcubes documentation rewrite using quarto.org
Language:R2 01
appelmar/geocompr
Open source book: Geocomputation with R
Language:R1 0
appelmar/openEo.gdalcubes
appelmar/openeogdalcubes
A lightweight platform to analyze Earth observation data cubes in the cloud.
appelmar/r-spatial.org
r-spatial.org blog sources
Language:HTML2 0
appelmar/RcppThread
R-friendly threading in C++
Language:C++2 0
appelmar/s2vrt
Generate GDAL VRT datasets for Sentinel 2 data
Language:C++
appelmar/s3gep-website
Website for S3-GEP project
Language:Dockerfile3 0
appelmar/software_guidelines
openeo software guidelines
3 0