HannaMeyer

CAST

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Geostat2018

Material for the course on machine-learning based environmental monitoring at geostat 2018

OpenGeoHub_2019

Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019

MEE_AOA

Case study material for the paper on mapping the area of applicability

OpenGeoHub_2020

Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020

EcoMod_SpML

Machine learning for spatial data: This repository contains the R-scripts for the analysis described in the paper "Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction" submitted to Ecological Modelling

lfsd_Poznan23

Material for the course "Learning from Spatial data" in Poznan, March 2023

OpenGeoHub_2022

Ressources for the session on machine learning, cross validation and the area of applicability at the OpenGeoHub Summer school in Siegburg 2022

OpenGeoHub_2021

Material for the tutorial on "Mapping the Area of Applicability of spatial prediction models" at the OpenGeoHub Summer School 2021

AntAir

Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning

EON2023

Material for the 3nd joint field course of the EarthObservationNetwork

IGARSS_21

Material for the conference contribution

sptm

R package of supporting functions for spatio-temporal models using machine learning

Carbon4D_project

Repository for all kinds of tasks within the project Carbon4D

cubes-and-clouds

This is the official repository for the online course 'Cubes & Clouds'

eo4statistics

slides and material for eo4statistics

EON2022

Material for the 2nd joint field course of the EarthObservationNetwork

EON2024

ML4GenTree

Materials for the workshop "Linking genotype, phenotype and the environment" at WSL Zürich 2019

mlsp_GOE24

Material for the workshop on machine learning for environmental spatial mapping in Göttingen, January 2024

MSGtools

R package to handle MSG SEVIRI data that have been processed with the Marburg MSG processing routines

UAVSchool_2020

Material for the course on machine learning taught at the UAV School in Göttingen (26.-30.10.2020)