AusENDVI (Australian Emprical NDVI) is a monthly, 5-km gridded estimate of NDVI across Australia from 1982-2022. It is built by calibrating and harmonising NOAA's Climate Data Record AVHRR NDVI data to MODIS MCD43A4 NDVI using a gradient boosting ensemble decision tree method. Additionally, the datasets are gapfilled using a machine-learning derived synthetic NDVI dataset.
The methods are extensively described in an Earth System Science Data pre-publication
Burton, C. A., Rifai, S. W., Renzullo, L. J., and Van Dijk, A. I. J. M.: Enhancing Long-Term Vegetation Monitoring in Australia: A New Approach for Harmonising and Gap-Filling AVHRR and MODIS NDVI, Earth Syst. Sci. Data Discuss., 2024, 1-35, 10.5194/essd-2024-89, 2024.
The datasets are available for download through zenodo
License: The code in this repository is licensed under the Apache License, Version 2.0