Abstract
This study investigates identifying forest condition changes using Global Navigation Satellite System (GNSS) signal measurements obtained in a recently conducted airborne experiment. Received signal strength (i.e. the peak correlation power) of the reflected signal is used to distinguish ground surfaces or forest conditions from each other. A simple threshold based method is developed to perform the identification of forest condition change. Through processing the logged airborne experimental data, it is observed that GNSS signal power can be used to reliably and accurately identify abnormal conditions in a forest.
| Original language | English |
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| Title of host publication | 2013 IEEE International Geoscience and Remote Sensing Symposium |
| Subtitle of host publication | proceedings |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1003-1006 |
| Number of pages | 4 |
| ISBN (Print) | 9781479911141 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: 21 Jul 2013 → 26 Jul 2013 |
Other
| Other | 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne, VIC |
| Period | 21/07/13 → 26/07/13 |
Keywords
- airborne experiment
- forest change detection
- GNSS remote sensing
- received signal strength
- threshold based method