Variability of the bare soil albedo due to different solar zenith angles and atmospheric haziness

Liu, C. H.; Chen, A. J.; Liu, G. R.

doi:10.1080/01431169408954264

Cited by 3 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, studies of nonLambertian re ections and emissions have attracted the interest of more and more researchers (Myneni and Ross 1991, Li et al 1999, Niu et al 2000. With a wide range of scan angles (about ±55°oV-nadir), the eVect of imaging geometry on AVHRR data should be reduced in order to improve the precision of interpretations and classi cations (Paltridge and Mitchell 1990, SouZet et al 1991, Li and Becker 1993, Cihlar et al 1994, Liu et al 1994. For many AVHRR researchers the acquisition of Sun-sensor bidirectional angles for every pixel is critical.…”

Section: Introductionmentioning

confidence: 98%

Estimating bidirectional angles in NOAA AVHRR images

Niu¹,

Wang²,

Wang³

et al. 2001

International Journal of Remote Sensing

View full text Add to dashboard Cite

In studies concerning the surface bidirectional re ectance distribution function (BRDF) and thermal-infrared multiangular emissions, Sun-sensor geometry must be known. This Letter provides a potential and simple method for NOAA Advanced Very High Resolution Radiometer (AVHRR) users to estimate the imaging con guration of each pixel in a geometrically corrected image. Our formulas were tested with example AVHRR data and their precision was shown to be comparatively high with a maximum error of either the satellite zenith or azimuth angle less than 4°. The standard deviation for the zenith is 2.07°and azimuth is 2.47°.

show abstract

Section: Introductionmentioning

confidence: 98%

Estimating bidirectional angles in NOAA AVHRR images

Niu¹,

Wang²,

Wang³

et al. 2001

International Journal of Remote Sensing

View full text Add to dashboard Cite

show abstract

Reflectance quantities in optical remote sensing—definitions and case studies

Schaepman‐Strub

Schaepman

Painter

et al. 2006

Remote Sensing of Environment

1,092

761

View full text Add to dashboard Cite

Remote sensing-supported vegetation parameters for regional climate models: a brief review

Latifi¹,

Gálos²

2010

iForest

View full text Add to dashboard Cite

© iForest-Biogeosciences and Forestry © SISEF http://www.sisef.it/iforest/ 98 iForest (2010) 3: 98-101 Citation: Latifi H, Galos B, 2010. Remote sensing-supported vegetation parameters for regional climate models: a brief review. iForest 3: 98-101 [online: 2010-07-15] URL: http://www.sisef.it/iforest/show.php? id=543 Collection: NFZ Summer School 2009-Birmensdorf (Switzerland) Long-term ecosystem research: understanding the present to shape the future Guest Editor: Marcus Schaub (WSL, Switzerland)

show abstract

Variability of the bare soil albedo due to different solar zenith angles and atmospheric haziness

Cited by 3 publications

References 15 publications

Estimating bidirectional angles in NOAA AVHRR images

Estimating bidirectional angles in NOAA AVHRR images

Reflectance quantities in optical remote sensing—definitions and case studies

Remote sensing-supported vegetation parameters for regional climate models: a brief review

Contact Info

Product

Resources

About