Lidar-based approaches for estimating solar insolation in heavily forested streams

Hydrology and Earth System Sciences
By: , and 

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Abstract

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.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Lidar-based approaches for estimating solar insolation in heavily forested streams
Series title Hydrology and Earth System Sciences
DOI 10.5194/hess-23-2813-2019
Volume 23
Year Published 2019
Language English
Publisher Copernicus Publications
Contributing office(s) Forest and Rangeland Ecosystem Science Center
Description 10 p.
First page 2813
Last page 2822
Country United States
State Oregon