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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitat Politécnica de Valencia
2014-12-01
|
| Series: | Revista de Teledetección |
| Subjects: | |
| Online Access: | http://polipapers.upv.es/index.php/raet/article/view/2280 |