Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests
Attenuation of radar signals by vegetation can be a problem for target detection and GPS reception, and is an important parameter in models describing vegetation backscatter. Here we first present a model describing the 3D distribution of stem and foliage structure based on small footprint scanning...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2009-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/9/3/1559/ |
| _version_ | 1811184091432747008 |
|---|---|
| author | Alan Swanson Shengli Huang Robert Crabtree |
| author_facet | Alan Swanson Shengli Huang Robert Crabtree |
| author_sort | Alan Swanson |
| collection | DOAJ |
| description | Attenuation of radar signals by vegetation can be a problem for target detection and GPS reception, and is an important parameter in models describing vegetation backscatter. Here we first present a model describing the 3D distribution of stem and foliage structure based on small footprint scanning LIDAR data. Secondly we present a model that uses ray-tracing methodology to record detailed interactions between simulated radar beams and vegetation components. These interactions are combined over the SAR aperture and used to predict two-way attenuation of the SAR signal. Accuracy of the model is demonstrated using UHF SAR observations of large trihedral corner reflectors in coniferous forest stands. Our study showed that the model explains between 66% and 81% of the variability in observed attenuation. |
| first_indexed | 2024-04-11T13:07:14Z |
| format | Article |
| id | doaj.art-9a2ef57f6c394c0290fdfb8fc55b4363 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:07:14Z |
| publishDate | 2009-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9a2ef57f6c394c0290fdfb8fc55b43632022-12-22T04:22:41ZengMDPI AGSensors1424-82202009-03-019315591573doi:10.3390/s90301559Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous ForestsAlan SwansonShengli HuangRobert CrabtreeAttenuation of radar signals by vegetation can be a problem for target detection and GPS reception, and is an important parameter in models describing vegetation backscatter. Here we first present a model describing the 3D distribution of stem and foliage structure based on small footprint scanning LIDAR data. Secondly we present a model that uses ray-tracing methodology to record detailed interactions between simulated radar beams and vegetation components. These interactions are combined over the SAR aperture and used to predict two-way attenuation of the SAR signal. Accuracy of the model is demonstrated using UHF SAR observations of large trihedral corner reflectors in coniferous forest stands. Our study showed that the model explains between 66% and 81% of the variability in observed attenuation.http://www.mdpi.com/1424-8220/9/3/1559/SARLidarForestAttenuation |
| spellingShingle | Alan Swanson Shengli Huang Robert Crabtree Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests Sensors SAR Lidar Forest Attenuation |
| title | Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests |
| title_full | Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests |
| title_fullStr | Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests |
| title_full_unstemmed | Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests |
| title_short | Using a LIDAR Vegetation Model to Predict UHF SAR Attenuation in Coniferous Forests |
| title_sort | using a lidar vegetation model to predict uhf sar attenuation in coniferous forests |
| topic | SAR Lidar Forest Attenuation |
| url | http://www.mdpi.com/1424-8220/9/3/1559/ |
| work_keys_str_mv | AT alanswanson usingalidarvegetationmodeltopredictuhfsarattenuationinconiferousforests AT shenglihuang usingalidarvegetationmodeltopredictuhfsarattenuationinconiferousforests AT robertcrabtree usingalidarvegetationmodeltopredictuhfsarattenuationinconiferousforests |