Special Section on Progress in Snow Remote Sensing

Extraction and assessment of snowline altitude over the Tibetan plateau using MODIS fractional snow cover data (2001 to 2013)

[+] Author Affiliations
Zhiguang Tang

Hunan University of Science and Technology, National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Xiangtan 411201, China

Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou 730000, China

Jian Wang

Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou 730000, China

Hongyi Li

Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou 730000, China

Ji Liang

Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou 730000, China

Chaokui Li

Hunan University of Science and Technology, National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Xiangtan 411201, China

Xin Wang

Hunan University of Science and Technology, National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Xiangtan 411201, China

J. Appl. Remote Sens. 8(1), 084689 (Jun 03, 2014). doi:10.1117/1.JRS.8.084689
History: Received January 14, 2014; Revised May 2, 2014; Accepted May 8, 2014
Text Size: A A A

Abstract.  Snowline altitude (SLA) is the most sensitive indicator for monitoring climatic behavior among all the cryosphere elements. In this study, the snowline and SLA over the Tibetan plateau (TP) during 2001 to 2013 are extracted using the cloud-removed MODIS daily fractional snow cover (FSC) products combined with digital elevation model (DEM), and the spatiotemporal changes of SLA and their response to the changing temperature are examined. The proposed MODIS-based SLA-extracting methodology includes cloud removal from MODIS FSC data, the determination of the snowline and SLA, and the establishment of the snowline altitude field (SLAF). Results show that the SLA in the interior of the TP is obviously higher than the peripheral mountainous area due to the complex terrain. There is no obvious trend of SLA change during the examined period although a strong seasonal and interannual variability of SLA is discovered. The interannual fluctuation of SLA in the snowmelt period can be explained by the high-positive correlations between the SLA and temperature. The MODIS-based SLA-extracting method described has a good application potential in SLA monitoring for other regions.

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

Citation

Zhiguang Tang ; Jian Wang ; Hongyi Li ; Ji Liang ; Chaokui Li, et al.
"Extraction and assessment of snowline altitude over the Tibetan plateau using MODIS fractional snow cover data (2001 to 2013)", J. Appl. Remote Sens. 8(1), 084689 (Jun 03, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.084689


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.

Related Book Chapters

Topic Collections

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.