Methodology for the detection of land cover changes in time series of daily satellite images. Application to burned area detection
We have developed a methodology for detection of observable phenomena at pixel level over time series of daily satellite images, based on using a Bayesian classifier. This methodology has been applied successfully to detect burned areas in the North American boreal forests using the LTDR dataset. Th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitat Politècnica de València
2014-12-01
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| Series: | Revista de Teledetección |
| Subjects: | |
| Online Access: | http://polipapers.upv.es/index.php/raet/article/view/2280 |
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