The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products

Remote Sensing

Xiang Zhao³  Shunlin Liang³  Suhong Liu¹  Wenping Yuan³  Zhiqiang Xiao¹  Qiang Liu³  Jie Cheng³  Xiaotong Zhang³  Hairong Tang²  Xin Zhang¹  Gongqi Zhou¹  Shuai Xu³ 

[1] State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, No. 19, XinJieKouWai St., HaiDian District, Beijing 100875, China; E-Mails:;Institute of Electronics, Chinese Academy of Sciences, No. 19, North 4th Ring Road West, Haidian District, Beijing 100190, China; E-Mails:;College of Global Change and Earth System Science, Beijing Normal University, No. 19, XinJieKouWai St., HaiDian District, Beijing 100875, China; E-Mails:

关键词: remote sensing;    satellite data;    product generation system;    GLASS products;    high performance computing;   

DOI  :  10.3390/rs5052436

来源: mdpi

【 摘 要 】

Using remotely sensed satellite products is the most efficient way to monitor global land, water, and forest resource changes, which are believed to be the main factors for understanding global climate change and its impacts. A reliable remotely sensed product should be retrieved quantitatively through models or statistical methods. However, producing global products requires a complex computing system and massive volumes of multi-sensor and multi-temporal remotely sensed data. This manuscript describes the ground Global LAnd Surface Satellite (GLASS) product generation system that can be used to generate long-sequence time series of global land surface data products based on various remotely sensed data. To ensure stabilization and efficiency in running the system, we used the methods of task management, parallelization, and multi I/O channels. An array of GLASS remote sensing products related to global land surface parameters are currently being produced and distributed by the Center for Global Change Data Processing and Analysis at Beijing Normal University in Beijing, China. These products include Leaf Area Index (LAI), land surface albedo, and broadband emissivity (BBE) from the years 1981 to 2010, downward shortwave radiation (DSR) and photosynthetically active radiation (PAR) from the years 2008 to 2010.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland