Special Section on Progress in Snow Remote Sensing

Spatiotemporal variations of snow cover in northeast China based on flexible multiday combinations of moderate resolution imaging spectroradiometer snow cover products

[+] Author Affiliations
Shengbo Chen

Jilin University, College of Geo-exploration Science and Technology, Changchun 130026, China

Qian Yang

Jilin University, College of Geo-exploration Science and Technology, Changchun 130026, China

University of Texas at San Antonio, Laboratory for Remote Sensing and Geoinformatics, Texas 78249, United States

Hongjie Xie

University of Texas at San Antonio, Laboratory for Remote Sensing and Geoinformatics, Texas 78249, United States

Haijun Zhang

Jilin University, College of Geo-exploration Science and Technology, Changchun 130026, China

Peng Lu

Jilin University, College of Geo-exploration Science and Technology, Changchun 130026, China

Chao Zhou

Jilin University, College of Geo-exploration Science and Technology, Changchun 130026, China

J. Appl. Remote Sens. 8(1), 084685 (Jul 28, 2014). doi:10.1117/1.JRS.8.084685
History: Received March 4, 2014; Revised June 9, 2014; Accepted June 17, 2014
Text Size: A A A

Abstract.  Daily moderate resolution imaging spectroradiometer (MODIS) (Terra and Aqua) snow cover products are used to produce flexible multiday combinations for each hydrological year between October 2003 and September 2013 in northeast China. Compared with in situ observations, the daily and flexible multiday combinations achieve overall accuracy of 47.51 and 76.52%, respectively, which is >34.45% of MODIS Terra and 30.57% of MODIS Aqua under all-sky conditions. Snow cover fraction, snow cover day map (SCD), snow cover onset date map (SCOD), snow cover end date map (SCED), and snow cover index (SCI) are then generated. The highest SCD, earliest SCOD, and latest SCED are always located in the southern edge of Da Hinggan Mountain and Changbai Mountain, followed by Xiao Hinggan Mountain. SCI negatively correlated with air temperature, with a correlation coefficient of 0.73 (p<0.05) in snowfall season; SCI positively correlated with precipitation, but is insignificant at the 95% level. This suggests that snow cover is more sensitive to air temperature than precipitation. In other words, continuous increase in air temperature due to global warming in the long term will result in continuous reducing of snow cover, a gracious water resource for northeast China, although a relative decrease in air temperature in the recent 10 years has resulted in snow cover increase.

Figures in this Article
© 2014 Society of Photo-Optical Instrumentation Engineers

Topics

MODIS ; Snow cover

Citation

Shengbo Chen ; Qian Yang ; Hongjie Xie ; Haijun Zhang ; Peng Lu, et al.
"Spatiotemporal variations of snow cover in northeast China based on flexible multiday combinations of moderate resolution imaging spectroradiometer snow cover products", J. Appl. Remote Sens. 8(1), 084685 (Jul 28, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.084685


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.