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- Publisher Website: 10.1080/17538947.2016.1144800
- Scopus: eid_2-s2.0-84961205369
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Article: PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing
Title | PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing |
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Authors | |
Keywords | land-surface temperature retrieval message passing interface MODTRAN Parallel computing thermal infrared remote sensing |
Issue Date | 2016 |
Citation | International Journal of Digital Earth, 2016, v. 9, n. 9, p. 819-834 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/321665 |
ISSN | 2023 Impact Factor: 3.7 2023 SCImago Journal Rankings: 0.950 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Fang | - |
dc.contributor.author | Zhou, Ji | - |
dc.contributor.author | Tao, Jian | - |
dc.contributor.author | Tan, Xicheng | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Cheng, Jie | - |
dc.date.accessioned | 2022-11-03T02:20:36Z | - |
dc.date.available | 2022-11-03T02:20:36Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | International Journal of Digital Earth, 2016, v. 9, n. 9, p. 819-834 | - |
dc.identifier.issn | 1753-8947 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321665 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.relation.ispartof | International Journal of Digital Earth | - |
dc.subject | land-surface temperature retrieval | - |
dc.subject | message passing interface | - |
dc.subject | MODTRAN | - |
dc.subject | Parallel computing | - |
dc.subject | thermal infrared remote sensing | - |
dc.title | PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/17538947.2016.1144800 | - |
dc.identifier.scopus | eid_2-s2.0-84961205369 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | 819 | - |
dc.identifier.epage | 834 | - |
dc.identifier.eissn | 1753-8955 | - |
dc.identifier.isi | WOS:000382199700001 | - |