Lidar-based approaches for estimating solar insolation in heavily forested streams
<p>Methods to quantify solar insolation in riparian landscapes are needed due to the importance of stream temperature to aquatic biota. We have tested three lidar predictors using two approaches developed for other applications of estimating solar insolation from airborne lidar using field dat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-07-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://www.hydrol-earth-syst-sci.net/23/2813/2019/hess-23-2813-2019.pdf |
| Summary: | <p>Methods to quantify solar insolation in riparian landscapes are needed due
to the importance of stream temperature to aquatic biota. We have tested
three lidar predictors using two approaches developed for other applications
of estimating solar insolation from airborne lidar using field data
collected in a heavily forested narrow stream in western Oregon, USA. We
show that a raster methodology based on the light penetration index (LPI)
and a synthetic hemispherical photograph approach both accurately predict
solar insolation, explaining more than 73 % of the variability observed in
pyranometers placed in the stream channel. We apply the LPI-based model to
predict solar insolation for an entire riparian system and demonstrate that
no field-based calibration is necessary to produce an unbiased prediction of
solar insolation using airborne lidar alone.</p> |
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| ISSN: | 1027-5606 1607-7938 |