DocumentCode :
6076
Title :
Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes
Author :
Jie Bai ; Li Jia ; Shaomin Liu ; Ziwei Xu ; Guangcheng Hu ; Mingjia Zhu ; Lisheng Song
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Volume :
12
Issue :
5
fYear :
2015
fDate :
May-15
Firstpage :
943
Lastpage :
947
Abstract :
To validate satellite-based surface fluxes by ground measurements properly, several numerical simulations were carried out at a homogeneous alpine meadow site and mixed cropland site, considering various atmospheric conditions and different land cover distribution types. By comparing various pixel selection methods, the results showed that footprint was significant in insuring a consistent spatial scale between ground measurements and satellite-based surface fluxes, particularly for heterogeneous surface and high-resolution remote sensing data. Because large aperture scintillometer measurements cover larger areas than eddy covariance (EC) system measurements, the spatial heterogeneity at a subpixel scale in complicated surface should be further considered in validating coarse satellite data. Thus, more accurate validation data and scaling methods must be developed, such as measuring surface fluxes at the satellite pixel scale by a flux measurement matrix or airborne EC measurements.
Keywords :
land cover; remote sensing; terrain mapping; airborne EC measurements; alpine meadow site; atmospheric conditions; cropland site; eddy covariance system; flux measurement matrix; footprint; ground measurements; high-resolution remote sensing data; land cover distribution types; large aperture scintillometer measurements; numerical simulations; pixel selection methods; satellite pixel scale; satellite-based surface fluxes; scaling methods; spatial heterogeneity; subpixel scale; surface flux measurement; validating coarse satellite data; validation data; Atmospheric measurements; Atmospheric modeling; Heating; Land surface; Pollution measurement; Remote sensing; Satellites; Flux measurement; footprint; remote sensing; scale; validation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2014.2368580
Filename :
7003982
Link To Document :
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