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	Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland
	Hufkens, K.1; Bogaert, J.2; Dong, Q. H.3; Lu, L.4; Huang, C. L.4; Ma, M. G.4; Che, T.4; Li, X.4; Veroustraete, F.3; Ceulemans, R.1
刊名	JOURNAL OF ARID ENVIRONMENTS
	2008-08-01
卷号	72期号:8页码:1490-1505
关键词	area-weighted average LAI northwest China VALERI protocol
ISSN号	0140-1963
DOI	10.1016/j.jaridenv.2008.02.012
通讯作者	Hufkens, K.(Koen.Hufkens@ua.ac.be)
英文摘要	Over the last decade, remote-sensing products found their use in numerous public applications and scientific research. Frequent validation of remote-sensing products is necessary to ensure the quality and accuracy. An important step in this process is the upscaling from field measurements of leaf area index (LAI) or other biogeophysical variables to the scale of a high-resolution satellite image. Unlike other vegetation types, semi-arid woodlands are often characterized by a distinct vegetation pattern, a low vegetation cover and site variations in bare soil reflectance which influence the upscaling process. This paper focuses on the upscaling of LAI field measurements of a semi-arid woodland in northwest China and the uncertainties associated with it. The LAI measurements were scaled up using two different approaches. The first upscaling method uses an ordinary average of the LAI measurements. The alternative method uses an area-based weighted average. The vegetation characteristics showed abundant small vegetation patches which were not accurately reflected in the systematic LAI field measurements. Therefore, the alternative method which reflected the vegetation structure more accurately needs to be considered. We conclude that an area-weighted average based on the fractional green vegetation cover is to be preferred over a simple average. If possible destructive sampling of the LAI is be preferred over indirect LAI measurements to reduce the errors associated with vegetation clumping and the presence of abundant non-green biomass. (c) 2008 Elsevier Ltd. All rights reserved.
收录类别	SCI
WOS关键词	LEAF-AREA INDEX ; LAND-ATMOSPHERE INTERACTIONS ; VEGETATION DYNAMICS ; ARID ECOSYSTEMS ; FOREST SITE ; NDVI ; PRODUCTS ; LAI ; ALGORITHM ; PATTERNS
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Ecology ; Environmental Sciences
语种	英语
出版者	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
WOS记录号	WOS:000257459500008
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2556105
专题	寒区旱区环境与工程研究所
通讯作者	Hufkens, K.
作者单位	1.Univ Antwerp, Dept Biol, B-2610 Antwerp, Belgium 2.Univ Libre Bruxelles, Lab Ecol Paysage, Ecole Interfac Bioingenieurs, B-1050 Brussels, Belgium 3.Flemish Inst Technol Res VITO, B-2400 Mol, Belgium 4.Chinese Acad Sci, CAREERI, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Hufkens, K.,Bogaert, J.,Dong, Q. H.,et al. Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland[J]. JOURNAL OF ARID ENVIRONMENTS,2008,72(8):1490-1505.
APA	Hufkens, K..,Bogaert, J..,Dong, Q. H..,Lu, L..,Huang, C. L..,...&Ceulemans, R..(2008).Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland.JOURNAL OF ARID ENVIRONMENTS,72(8),1490-1505.
MLA	Hufkens, K.,et al."Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland".JOURNAL OF ARID ENVIRONMENTS 72.8(2008):1490-1505.

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