Glenn Moncrieff's repositories
catchments_eg
example repo for reproducible analysis with R
neuralecology
Code for the paper "Neural hierarchical models of ecological populations"
resources-earth-observation
A collection of Earth Observation Notebooks.
mcmc_vs_advi
comparing mcmc and advi for postfire recovery analysis
geebap
Best Available Pixel (BAP) composite in Google Earth Engine (GEE) using the Python API
ee-tensorflow-ts
python notebooks for tensorflow time-series analysis with google earth engine
peninsula_fire_recovery
Code and data from Slingsby, Moncrieff and Wilson "Near-real time change detection for an open ecosystem with complex natural dynamics"
day_zero
exploring the signal of the 2015-2019 drought on vegetation in the western cape
crop-type-mapping
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
DGVMTools
R package for processing, analysing and visualising ouput from Dynamic Global vegetation Models (DGVMs)
rocket
This is a multi-channel implementation of ROCKET
dd-ml-segmentation-benchmark
DroneDeploy Machine Learning Segmentation Benchmark
lentilcurtain
my personal data blog
adgvm1.2.1
master of adgvm1
thicket_monitoring
Code to perform near-real time monitoring of land cover change in the Albany thicket biome
bfastSpatial
Set of utilities and wrappers to perform change detection on satellite image time-series (Landsat and MODIS). Includes pre-processing steps and functions for spatial implementation of bfastmonitor change detection and post processing of the results.
bfast-explorer
Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app
MTLCC
Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication
ALU_cloud
files for ALU cloud computing HLT assignment
JointGaussianChangeDetector
Python package implementing change detection and change point estimation using a joint distribution estimated from a training set of similar signals
protea_image
code from "Automated fynbos identification using iNaturalist and Deep Learning"
EMMA_shiny
EMMA shiny app beta version
R-ecology-lesson
:notebook: Data Carpentry R lessons on ecology.
workshop-template
Template for workshop websites.
postfire
Analysis of post-fire vegetation recovery using satellite-derived vegetation indices.