DISTSENSING: A NEW PLATFORM FOR TIME SERIES PROCESSING IN A DISTRIBUTED COMPUTING ENVIRONMENT
Time series analysis of remote sensing images are indispensable in identifying patterns, trends and changes, and allows the modeling and prediction of events on Earth's surface. For applications with large volumes of data, this analysis should be done in an automated way allowing spatio-tempora...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Uberlândia
2017-05-01
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| Series: | Revista Brasileira de Cartografia |
| Online Access: | http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44001 |
| Summary: | Time series analysis of remote sensing images are indispensable in identifying patterns, trends and changes, and allows the modeling and prediction of events on Earth's surface. For applications with large volumes of data, this analysis should be done in an automated way allowing spatio-temporal ï¬ ltering in the image database. This paper proposes a new platform, DistSensing, to process these analysis using spatial and relational distributed indices. The DistSensing platform had better performance than the solutions found in the literature when it is necessary run queries in the database using temporal and spatial ï¬ lters. |
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| ISSN: | 0560-4613 1808-0936 |