Abstract
Forest biomass mapping was studied in a site in northern Finland (latitude 66deg). Two JERS SAR scenes that were acquired in a dry period were used. Locally derived linear regression models between forest stem volume and L-band SAR amplitude produced correlation coefficients of 0.7.
An earlier regression model, which had been derived in a site in southern Finland, produced under-estimates of approximately 50 m 3 /ha in a study site where stem volume varied between 0 and 220 m 3 /ha.
An earlier regression model, which had been derived in a site in southern Finland, produced under-estimates of approximately 50 m 3 /ha in a study site where stem volume varied between 0 and 220 m 3 /ha.
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 2338-2341 |
| ISBN (Print) | 978-1-4244-1211-2, 978-1-4244-1212-9 |
| DOIs | |
| Publication status | Published - 2007 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain Duration: 23 Jun 2007 → 28 Jun 2007 |
Conference
| Conference | 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 |
|---|---|
| Abbreviated title | IGARSS 2007 |
| Country/Territory | Spain |
| City | Barcelona |
| Period | 23/06/07 → 28/06/07 |
Keywords
- SAR
- remote sensing
- biomass
- satellite images
- satellite surveillance
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