Open AccessThis article is
- freely available
The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products
College of Global Change and Earth System Science, Beijing Normal University, No. 19, XinJieKouWai St., HaiDian District, Beijing 100875, China
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
Department of Geographical Sciences, University of Maryland, 2181 Samuel J. LeFrak Hall, College Park, MD 20742, USA
School of Geography, Beijing Normal University, No. 19, XinJieKouWai St., HaiDian District, Beijing 100875, China
Institute of Electronics, Chinese Academy of Sciences, No. 19, North 4th Ring Road West, Haidian District, Beijing 100190, China
* Author to whom correspondence should be addressed.
Received: 24 March 2013; in revised form: 23 April 2013 / Accepted: 7 May 2013 / Published: 15 May 2013
Abstract: 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.
Keywords: remote sensing; satellite data; product generation system; GLASS products; high performance computing
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Zhao, X.; Liang, S.; Liu, S.; Yuan, W.; Xiao, Z.; Liu, Q.; Cheng, J.; Zhang, X.; Tang, H.; Zhang, X.; Liu, Q.; Zhou, G.; Xu, S.; Yu, K. The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products. Remote Sens. 2013, 5, 2436-2450.
Zhao X, Liang S, Liu S, Yuan W, Xiao Z, Liu Q, Cheng J, Zhang X, Tang H, Zhang X, Liu Q, Zhou G, Xu S, Yu K. The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products. Remote Sensing. 2013; 5(5):2436-2450.
Zhao, Xiang; Liang, Shunlin; Liu, Suhong; Yuan, Wenping; Xiao, Zhiqiang; Liu, Qiang; Cheng, Jie; Zhang, Xiaotong; Tang, Hairong; Zhang, Xin; Liu, Qiang; Zhou, Gongqi; Xu, Shuai; Yu, Kai. 2013. "The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products." Remote Sens. 5, no. 5: 2436-2450.