干旱区生态环境知识资源中心(Arid): Refining medium resolution fractional cover for arid Australia to detect vegetation dynamics and wind erosion susceptibility on longitudinal dunes

Arid

DOI	10.1016/j.rse.2021.112647
	Refining medium resolution fractional cover for arid Australia to detect vegetation dynamics and wind erosion susceptibility on longitudinal dunes
	Shumack, Samuel; Fisher, Adrian; Hesse, Paul P.
通讯作者	Shumack, S (corresponding author), Macquarie Univ, Dept Earth & Environm Sci, Sydney, NSW 2109, Australia.
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2021
卷号	265
英文摘要	Medium resolution satellite-derived fractional cover estimates of bare soil (f(BS)), photosynthetic vegetation (f(PV)), and non-photosynthetic vegetation (f(NPV)) provide a powerful means to study arid ecosystem dynamics. This paper employed remote sensing estimates of f(PV) and f(NPV) from five case study sites from Australia's vegetated dunefields to observe (a) vegetation growth response to rainfall 'pulses' and subsequent transition to nonphotosynthetic dormancy or senescence; (b) multiple time scales of antecedent climatic influence on vegetation cover; (c) the susceptibility of dunes to wind-blown sand drift during periods of low cover; and (d) the implications of image resolution choice when ground cover is heterogeneous. A spectral unmixing model for Australia's arid zone (termed 'AZN') was first developed by generating endmembers from a dataset of 1405 field surveys; Landsat time series estimates of f(PV) and f(NPV) were subject to a Seasonal-Trend decomposition by Loess (STL); Time series components were correlated with rainfall (P) and aridity at various accumulation periods; Fire maps were used to compare the climatic response of unburnt and burnt vegetation; Landform maps were used to isolate dune vegetation cover from the adjacent interdunes; and Landsat estimates of erodible area were compared with Sentinel-2 and WorlView-3 data. The new AZN model yielded Root Mean Square Error (RMSE) estimates of 14.5% (f(BS)), 6.5% (f(PV)) and 15.8% (f(NPV)) during cross validation. The AZN model also compared favourably to an existing continental-scale model when evaluated with independent reference data. Rainfall pulse responses of dune vegetation were detected initially as f(PV), and 3-9 months later as a peak in f(NPV). Components of f(PV) responded to P accumulated over 3-9-months (intra-annual), and 12-15-months (trend). The long-term build-up of f(NPV), if left unburnt, was influenced by rainfall patterns over the preceding 45-114 months. Fires reduced both the depth and strength of antecedent rainfall's influence on vegetation, and vegetation was often more sensitive to P than to aridity. Erodibility (total cover <14%) and partial erodibility (cover <35%) were more common at the driest sites but did not universally match aridity levels, due to fires and differing vegetation. The targeting of dune crest regions highlighted their enhanced susceptibility to sand drift (in most cases), and, given their occurrence on relatively narrow ridges (similar to 30 m), the importance of estimating cover at Landsat resolutions or better (e.g. Sentinel-2).
英文关键词	Landsat Sentinel-2 Fractional cover Spectral unmixing Arid Vegetation Aeolian
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000696696400003
WOS关键词	LANDSAT TM/ETM PLUS ; NONPHOTOSYNTHETIC VEGETATION ; TIME-SERIES ; PHOTOSYNTHETIC VEGETATION ; SURFACE REFLECTANCE ; CLIMATE VARIABILITY ; TROPICAL SAVANNA ; SPATIAL-PATTERNS ; SAND TRANSPORT ; PULSE-RESERVE
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364501
作者单位	[Shumack, Samuel; Hesse, Paul P.] Macquarie Univ, Dept Earth & Environm Sci, Sydney, NSW 2109, Australia; [Fisher, Adrian] Univ New South Wales, Ctr Ecosyst Sci, Sch Biol Earth & Environm Sci, Kennington, NSW 2052, Australia
推荐引用方式 GB/T 7714	Shumack, Samuel,Fisher, Adrian,Hesse, Paul P.. Refining medium resolution fractional cover for arid Australia to detect vegetation dynamics and wind erosion susceptibility on longitudinal dunes[J],2021,265.
APA	Shumack, Samuel,Fisher, Adrian,&Hesse, Paul P..(2021).Refining medium resolution fractional cover for arid Australia to detect vegetation dynamics and wind erosion susceptibility on longitudinal dunes.REMOTE SENSING OF ENVIRONMENT,265.
MLA	Shumack, Samuel,et al."Refining medium resolution fractional cover for arid Australia to detect vegetation dynamics and wind erosion susceptibility on longitudinal dunes".REMOTE SENSING OF ENVIRONMENT 265(2021).