McQuillan, Maximilian; Rifai, Sami W.; Lilley, Caleb; Ostendorf, Bertram; Hawken, Scott | 2026

Description

This archive contains processed remote sensing data and R scripts used to analyse vegetation phenology across restored, reference, and control native temperate grassland sites in South Australia.

Contents:
1. EVI2_Composite_Data/
- Sentinel-2 EVI2 image composites (.tif) and corresponding acquisition date files (.csv), generated using Google Earth Engine (GEE).

2. Extracted_Phenology_Metrics/
- CSV files containing site-level phenological metrics, including start of season (SOS), end of season (EOS), length of season (LOS), and peak of season (POS). These were calculated from the EVI2 time series using the R script `phenology_modeling.R`.

3. Scripts/
- phenology_modeling.R: R script for smoothing EVI2 time series and extracting phenological metrics per site.
- hypothesis_testing.R: R script for statistical comparison of phenological metrics across management categories (restored, reference, control) using ANOVA and Tukey’s tests.

File Naming Convention:
- S2-composited_evi2_[site]_[start_date]_[end_date].tif: Composite EVI2 image
- DATES_S2-composited_evi2_[site]_[start_date]_[end_date].csv: Dates included in each composite
- Copy of [Site] dataset.csv: Extracted phenological metrics per site used for statistical comparison

Tools used:
- Google Earth Engine (for image generation)
- R 4.2.3 (for time series analysis and hypothesis testing)

Keywords

Sentinel-2 EVI2 Remote Sensing Grassland Restoration Phenology Vegetation Monitoring R Google Earth Engine South Australia

Related Paper

Maximilian McQuillan, Sami W. Rifai, Caleb Lilley, Bertram Ostendorf, Scott Hawken (2026). Pixel Patchwork: Monitoring Temperate Grassland Restoration Success With Sentinel‐2 Phenology Metrics in Urban Australia. Applied Vegetation Science, 29. https://doi.org/10.1111/avsc.70054

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