DOI: 10.1016/j.jag.2012.10.005
Scopus记录号: 2-s2.0-84880295368
论文题名: Linear unmixing of MODIS albedo composites to infer subpixel land cover type albedos
作者: Kuusinen N ; , Tomppo E ; , Berninger F
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 324
结束页码: 333
语种: 英语
英文关键词: Albedo
; Boreal forest
; Linear unmixing
; MODIS BRDF/albedo
Scopus关键词: albedo
; boreal forest
; land cover
; land use
; MODIS
; satellite data
; satellite imagery
; spatiotemporal analysis
; vegetation mapping
英文摘要: We use a linear unmixing approach to test how land use and forestry maps, in combination with the MODIS BRDF/albedo product, can be used to estimate land cover type albedos in boreal regions. Operational land use maps from three test areas in Finland and Canada were used to test the method. The resulting endmember albedo estimates had low standard errors of the mean and were realistic for the main land cover types. The estimated albedos were fairly consistent with albedo measurements conducted with a telescope mast and pure pixel albedos. Problems with the method are the possible errors in the land cover maps, lack of good quality winter MODIS albedo composites and the mismatch between the MODIS pixels and the true observation area. The results emphasize the role of tree species as determinant of forest albedo. Comprehensive spatial and temporal measurements of land cover albedo are usually not possible with in situ mast measurements, and the spatial resolution of MODIS albedo product is often too low to allow direct comparison of pixel albedos and land cover types in areas with heterogeneous vegetation. Hence, and since local forestry maps exist for most temperate and boreal regions, we believe that the proposed method will be useful in estimating average regional land cover type albedos as well as in tracking changes in them. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79836
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Forest Sciences, University of Helsinki, P.O. Box 27, 00014 Helsinki, Finland; The Finnish Forest Research Institute, P.O. Box 18, 01301 Vantaa, Finland
Recommended Citation:
Kuusinen N,, Tomppo E,, Berninger F. Linear unmixing of MODIS albedo composites to infer subpixel land cover type albedos[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)