4.7 Article

Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network

期刊

REMOTE SENSING OF ENVIRONMENT
卷 121, 期 -, 页码 323-334

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2012.02.019

关键词

MODIS; Surface albedo; Validation; FLUXNET; Terrestrial ecosystems; Plant functional types; Remote sensing

资金

  1. CFCAS
  2. NSERC
  3. BIOCAP
  4. Environment Canada
  5. NRCan
  6. CarboEuropeIP
  7. FAO-GTOS-TCO
  8. iLEAPS
  9. Max Planck Institute for Biogeochemistry
  10. National Science Foundation
  11. University of Tuscia
  12. Universite Laval and Environment Canada and US Department of Energy
  13. Berkeley Water Center
  14. Lawrence Berkeley National Laboratory
  15. Microsoft Research eScience
  16. Oak Ridge National Laboratory
  17. University of California - Berkeley
  18. University of Virginia
  19. NASA [NNX08AE94A]
  20. NASA [NNX08AE94A, 102244] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Surface albedo is a key parameter in the Earth's energy balance since it affects the amount of solar radiation directly absorbed at the planet surface. Its variability in time and space can be globally retrieved through the use of remote sensing products. To evaluate and improve the quality of satellite retrievals, careful intercomparisons with in situ measurements of surface albedo are crucial. For this purpose we compared MODIS albedo retrievals with surface measurements taken at 53 FLUXNET sites that met strict conditions of land cover homogeneity. A good agreement between mean yearly values of satellite retrievals and in situ measurements was found (r(2) = 0.82). The mismatch is correlated with the spatial heterogeneity of surface albedo, stressing the relevance of land cover homogeneity when comparing point to pixel data. When the seasonal patterns of MODIS albedo are considered for different plant functional types, the match,. with surface observations is extremely good at all forest sites. On the contrary, satellite retrievals at non-forested sites (grasslands, savannas, croplands) underestimate in situ measurements across the seasonal cycle. The mismatch observed at grassland and cropland sites is likely due to the extreme fragmentation of these landscapes, as confirmed by geostatistical attributes derived from high resolution scenes. (c) 2012 Elsevier Inc. All rights reserved.

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