appelmar/bfast-profiling

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Created almost 9 years ago
Updated almost 9 years ago

appelmar/bfast-profiling

appelmar

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A couple of benchmark tests to analyze optimization potential in bfast

gdalcubes

Creating and analyzing Earth observation data cubes in R

gdalcubes_cpp

Earth observation data cubes from GDAL image collections

scidb4gdal

A GDAL driver for SciDB arrays

stmra

R package for Multiresolution Approximations of Spatiotemporal Gaussian Processes

opengeohub_summerschool2020

Materials for OpenGeoHub summer school 2020 tutorial on "Creating and Analyzing Multi-Variable Earth Observation Data Cubes in R"

scidb4geo

A SciDB Plugin for Managing Spatial and Temporal Reference Information of Arrays

opengeohub_summerschool2019

STpconv

Data-driven gap filling of satellite image time series using neural networks with spatiotemporal partial convolutions

ogh2021

Materials for OpenGeoHub summer school 2021 tutorial on "Analyzing massive amounts of EO data in the cloud with R, gdalcubes, and STAC"

scalbf-wur

slides and material for a workshop on scalable change detection with BFAST at Wageningen university, March 2017

stmra_supplement

r-spatial-cloud

Blog post on the analysis of satellite images with STAC, COGs, and data cubes in the cloud (work in progress)

scidb-eo-isprsdemo

A Docker image and two study cases to demonstrate how to run open and scalable Earth observation analytics with SciDB, GDAL, and R

CONAE_2022

Materials for CONAE spring school tutorial on "Analyzing satellite image collections on public cloud platforms with R"

scidb-wcs

A prototypical WCS implementation for SciDB

scidb-eo

Docker Images for Earth Observation Analytics with SciDB

rasdaman_docker

A Docker image for running Rasdaman including petascope and rasgeo extensions

edcforum2017

Online material for presentation and workshop at EDC Forum 2017