Climate Change Data Portal
DOI | 10.5194/hess-23-2813-2019 |
Lidar-based approaches for estimating solar insolation in heavily forested streams | |
Richardson J.J.; Torgersen C.E.; Monika Moskal L. | |
发表日期 | 2019 |
ISSN | 1027-5606 |
起始页码 | 2813 |
结束页码 | 2822 |
卷号 | 23期号:7 |
英文摘要 | 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. © 2019. This work is distributed under the Creative Commons Attribution 4.0 License. |
语种 | 英语 |
scopus关键词 | Forecasting; Forestry; Optical radar; Airborne LiDAR; Forested streams; Hemispherical photographs; Light penetration; Riparian systems; Solar insolation; Stream channels; Stream temperatures; Incident solar radiation; calibration; forested catchment; insolation; lidar; photography; riparian zone; solar radiation; stream channel; water temperature; Oregon; United States |
来源期刊 | Hydrology and Earth System Sciences |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159655 |
作者单位 | Richardson, J.J., Sterling College, Craftsbury CommonVT, United States; Torgersen, C.E., US Geological Survey, Forest and Rangeland Ecosystem Science Center, Cascadia Field Station, University of Washington, Seattle, WA, United States; Monika Moskal, L., Precision Forestry Cooperative, School of Environmental and Forest Science, University of Washington, Seattle, WA, United States |
推荐引用方式 GB/T 7714 | Richardson J.J.,Torgersen C.E.,Monika Moskal L.. Lidar-based approaches for estimating solar insolation in heavily forested streams[J],2019,23(7). |
APA | Richardson J.J.,Torgersen C.E.,&Monika Moskal L..(2019).Lidar-based approaches for estimating solar insolation in heavily forested streams.Hydrology and Earth System Sciences,23(7). |
MLA | Richardson J.J.,et al."Lidar-based approaches for estimating solar insolation in heavily forested streams".Hydrology and Earth System Sciences 23.7(2019). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。