Phenology Analysis Code
Abstract
This Google Earth Engine (GEE) script performs comprehensive analysis of global vegetation phenology trends using MODIS MCD12Q2 Collection 6.1 data from 2001 to 2023. The code calculates temporal trends in Start of Season (SOS), End of Season (EOS), and Growing Season Length (GSL) with robust quality filtering and dual-cycle detection algorithms. Key Features:- Automated phenological metric extraction (SOS, EOS, GSL)- Dual-cycle analysis for regions with multiple growing seasons- Quality filtering using MODIS QA flags (QA_Overall_1 ≤ 1)- Linear trend analysis (2001-2023) with R² calculation- Regional time series generation for multiple biomes- Latitudinal gradient analysis (-60° to 70°N)- Interactive visualizations (maps and charts) Technical Specifications:- Platform: Google Earth Engine (JavaScript API)- Input Dataset: MODIS/061/MCD12Q2- Spatial Resolution: 500m- Temporal Coverage: 2001-2023- Geographic Extent: Global (-180° to 180°E, -60° to 75°N) Usage:Copy the code to Google Earth Engine Code Editor (https://code.earthengine.google.com/). No authentication or data downloads required - all analysis runs in the cloud. Results are displayed in the console and map interface. Related Publication:This code supports the research described in: Salhi, A. et al. (in review). Threshold-driven phenological divergence reshapes global ecosystems.
Fields of Study & Subjects
Remote Sensing in Agriculture
Land Use and Ecosystem Services
Remote-Sensing Image Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 February 2026
- Language
- EN