DOI: 10.1016/j.jag.2012.12.003
Scopus记录号: 2-s2.0-84880261996
论文题名: Effect of spatial resolution on estimating surface albedo: A case study in Speulderbos forest in The Netherlands
作者: Weligepolage K ; , Gieske A ; S ; M ; , Su Z
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 18
结束页码: 28
语种: 英语
英文关键词: Airborne hyperspectral scanner
; ASTER
; Forest
; Semivariograms
; Surface albedo
Scopus关键词: airborne sensing
; albedo
; ASTER
; energy budget
; forest canopy
; forest cover
; forest ecosystem
; radiative transfer
; remote sensing
; satellite imagery
; sensor
; solar radiation
; spatial resolution
; spatial variation
; variogram
; Netherlands
英文摘要: Land surface albedo is one of the most important parameters accountable for the planetary radiative energy budget. It is known that albedo varies in both space and time as a result of various natural processes and humaninterventions. Especially in forest ecosystems these variations are much more intense due to inherent canopy structural differences and anticipated seasonal changes. In such environments, estimation of spatially distributed surface albedo poses challenges in terms of capturing the spatial variability using a remotely sensed sensor with a finite field of view. This study investigated the stand level surface albedo variability of a patchwork forest in the central part of The Netherlands. The data used for the study included airborne and satellite imageriesand tower-based solar radiation measurements acquired through a dedicated field campaign. The imageries were preprocessed and atmospherically corrected to obtain top of the canopy (TOC) reflectance. The TOC reflectance bandsin the visible and near-infrared domain were integrated to estimate spatially distributed surface albedo while the tower-based radiation measurements in the solar-reflective region were used to obtain the temporal variation of surface albedo over a needleleaf forest canopy. The diurnal variation of surface albedo is consistent with the previous findings for needleleaf forest canopies. The spatial mean surface albedo values estimated from remotesensing data for needleleaf (pure Douglas fir), broadleaf (pure Beech) and mixed forest classes are 0.09, 0.13 and 0.11, respectively. Both visual characteristics and descriptive statistics indicate that with increased pixelsize, the spatial variability of albedo progressively decreases. The semivariogram analysis was more insightful to perceive the nature and causes of albedo spatial variability in different forest classes in relation to sensor spatial resolution. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79810
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands; Department of Irrigation, Ministry of Irrigation and Water Recourses Management, P.O. Box 1138, Colombo, Sri Lanka
Recommended Citation:
Weligepolage K,, Gieske A,S,et al. Effect of spatial resolution on estimating surface albedo: A case study in Speulderbos forest in The Netherlands[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)