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...
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Copernicus Publications
2019-07-01
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Online Access: | https://www.hydrol-earth-syst-sci.net/23/2813/2019/hess-23-2813-2019.pdf |
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doaj-c0c24b85c07c4eb68125c5c78286b6742020-11-25T01:40:38ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382019-07-01232813282210.5194/hess-23-2813-2019Lidar-based approaches for estimating solar insolation in heavily forested streamsJ. J. Richardson0C. E. Torgersen1L. M. Moskal2Sterling College, Craftsbury Common, VT, USAUS Geological Survey, Forest and Rangeland Ecosystem Science Center, Cascadia Field Station, University of Washington, Seattle, WA, USAPrecision Forestry Cooperative, School of Environmental and Forest Science, University of Washington, Seattle, WA, USA<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>https://www.hydrol-earth-syst-sci.net/23/2813/2019/hess-23-2813-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. J. Richardson C. E. Torgersen L. M. Moskal |
spellingShingle |
J. J. Richardson C. E. Torgersen L. M. Moskal Lidar-based approaches for estimating solar insolation in heavily forested streams Hydrology and Earth System Sciences |
author_facet |
J. J. Richardson C. E. Torgersen L. M. Moskal |
author_sort |
J. J. Richardson |
title |
Lidar-based approaches for estimating solar insolation in heavily forested streams |
title_short |
Lidar-based approaches for estimating solar insolation in heavily forested streams |
title_full |
Lidar-based approaches for estimating solar insolation in heavily forested streams |
title_fullStr |
Lidar-based approaches for estimating solar insolation in heavily forested streams |
title_full_unstemmed |
Lidar-based approaches for estimating solar insolation in heavily forested streams |
title_sort |
lidar-based approaches for estimating solar insolation in heavily forested streams |
publisher |
Copernicus Publications |
series |
Hydrology and Earth System Sciences |
issn |
1027-5606 1607-7938 |
publishDate |
2019-07-01 |
description |
<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> |
url |
https://www.hydrol-earth-syst-sci.net/23/2813/2019/hess-23-2813-2019.pdf |
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