A spatially explicit land surface phenology data product for science, monitoring and natural resources management applications. (February 2015)

• Record Type: Journal Article
• Authors: Broich, Mark; Huete, Alfredo; Paget, Matt; Ma, Xuanlong; Tulbure, Mirela; Coupe, Natalia Restrepo; Evans, Bradley; Beringer, Jason; Devadas, Rakhesh; Davies, Kevin; Held, Alex
• Is Part Of: Environmental modelling & software. Volume 64(2015:Feb.)
• Page Start: 191
• Page End: 204
• Publication Date: 2015-02
• Subjects: Remote sensing -- MODIS -- AusCover TERN -- Climate variability -- Time-series; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2014.11.017
• Languages: English
• ISSNs: 1364-8152

Abstract

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. Highlights: We developed a model and derived the Australian Land Surface Phenology Product from time series of satellite images. The product is freely available athttp://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.