PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing |
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| Authors: | Fang Huang Ji Zhou Xicheng Tan Shunlin Liang Jie Cheng |
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| Affiliation: | 1. School of Resources &2. Environment, University of Electronic Science and Technology of China, Chengdu, People's Republic of China;3. Institute of Remote Sensing Big Data, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, People's Republic of China;4. Center for Computation &5. Technology, Louisiana State University, Baton Rouge, LA, USA;6. International School of Software, Wuhan University, Wuhan, People's Republic of China;7. State Key Laboratory for Remote Sensing Science, Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing, People's Republic of China;8. Department of Geographical Sciences, University of Maryland, College Park, MD, USA |
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| Abstract: | MODerate resolution atmospheric TRANsmission (MODTRAN) is a commercial remote sensing (RS) software package that has been widely used to simulate radiative transfer of electromagnetic radiation through the Earth's atmosphere and the radiation observed by a remote sensor. However, when very large RS datasets must be processed in simulation applications at a global scale, it is extremely time-consuming to operate MODTRAN on a modern workstation. Under this circumstance, the use of parallel cluster computing to speed up the process becomes vital to this time-consuming task. This paper presents PMODTRAN, an implementation of a parallel task-scheduling algorithm based on MODTRAN. PMODTRAN was able to reduce the processing time of the test cases used here from over 4.4 months on a workstation to less than a week on a local computer cluster. In addition, PMODTRAN can distribute tasks with different levels of granularity and has some extra features, such as dynamic load balancing and parameter checking. |
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| Keywords: | Parallel computing message passing interface MODTRAN thermal infrared remote sensing land-surface temperature retrieval |
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