Lidar-based approaches for estimating solar insolation in heavily forested streams
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
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.
Study Area
| 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 |
| Google Analytic Metrics | Metrics page |