Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58877
Title: A spatially explicit land surface phenology data product for science, monitoring and natural resources management applications
Contributor(s): Broich, Mark (author); Huete, Alfredo (author); Paget, Matt (author); Ma, Xuanlong (author); Tulbure, Mirela (author); Coupe, Natalia Restrepo (author); Evans, Bradley  (author)orcid ; Beringer, Jason (author); Devadas, Rakhesh (author); Davies, Kevin (author); Held, Alex (author)
Publication Date: 2015-02
DOI: 10.1016/j.envsoft.2014.11.017
Handle Link: https://hdl.handle.net/1959.11/58877
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.

Publication Type: Journal Article
Grant Details: ARC/DP1115479
Source of Publication: Environmental Modelling & Software, v.64, p. 191-204
Publisher: Elsevier Ltd
Place of Publication: United Kingdom
ISSN: 1873-6726
1364-8152
Fields of Research (FoR) 2020: 4104 Environmental management
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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