Paper Info
Title
A spatially explicit land surface phenology data product for science, monitoring and natural resources management applications
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. We developed a model and derived the Australian Land Surface Phenology Product from time series of satellite images.The product is freely available at http://www.auscover.org.au/ and described in this work.Land surface phenology shows high interannual variability for the dry interior of the continent.Land surface phenology metrics can quantify vegetation response to dry and wet years.
Year
DOI
Venue
2015
10.1016/j.envsoft.2014.11.017
Environmental Modelling & Software
Keywords
DocType
Volume
remote sensing,time series
Journal
64
Issue
ISSN
Citations 
C
1364-8152
11
PageRank 
References 
Authors
1.26
4
11
Name
Order
Citations
PageRank
Mark Broich1425.76
Alfredo R Huete230972.18
Matt Paget3111.26
Xuanlong Ma4155.44
Mirela Tulbure5111.94
Natalia Restrepo Coupe6112.28
Bradley Evans7121.63
Jason Beringer8111.94
R. Devadas9193.14
Kevin Davies10111.60
Alex Held11229.80