Latest posts
Machine learning for vegetation monitoring
A seminar given in early 2022 outling the past few years of my research at SAEON
Automate your Google Earth Engine analyses
Using Google Cloud Platform to run Earth Engine scripts on an predefined schedule
ADVI vs MCMC
Comparing the performance of models fitted to vegetation postfire recovery data using ADVI and MCMC
Reproducible R part 1
A gentle introduction to reproducible computing environments and research compendia
Wiped off the map: historical aerial photos document the communities Apartheid tried to erase
Interactive maps to visualize and explore apartheid removals in three communities in Cape Town
Real-time detection of land cover change
Detecting vegetation clearing using Sentinel 2 time series
Automated fynbos identification using iNaturalist and Deep Learning
Identifying Restios and Proteas using Tensorflow and transfer learning
EMMA wins UN data for climate action challenge
Predicting postfire reovery in the fynbos biome and monitoring anomalies
Data carpentry Ethiopia
Teaching R and data literacy in Addis Ababa