A spatially explicit land surface phenology data product for science, monitoring and natural resources management applications

Mark Broich*, Alfredo Huete, Matt Paget, Xuanlong Ma, Mirela Tulbure, Natalia Restrepo Coupe, Bradley Evans, Jason Beringer, Rakhesh Devadas, Kevin Davies, Alex Held

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    59 Citations (Scopus)

    Abstract

    Land surface phenology (LSP) characterizes episodes of greening and browning of the vegetated land surface from remote sensing imagery. LSP is of interest for quantification and monitoring of crop yield, wildfire fuel accumulation, vegetation condition, ecosystem response and resilience to climate variability and change. Deriving LSP represents an effort for end users and existing global products may not accommodate conditions in Australia, a country with a dry climate and high rainfall variability. To fill this information gap we developed the Australian LSP Product in contribution to AusCover/Terrestrial Ecosystem Research Network (TERN).

    We describe the product's algorithm and information content consisting of metrics that characterize LSP greening and browning episodes of the vegetated land surface. Our product allows tracking LSP metrics over time and thereby quantifying inter- and intraannual variability across Australia. We demonstrate the metrics' response to ENSO-driven climate variability. Lastly, we discuss known limitations of the current product and future development plans.

    Original languageEnglish
    Pages (from-to)191-204
    Number of pages14
    JournalEnvironmental Modelling and Software
    Volume64
    DOIs
    Publication statusPublished - Feb 2015

    Keywords

    • remote sensing
    • MODIS
    • AusCover TERN
    • climate variability
    • time-series

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