DOI: 10.5194/hess-23-2813-2019
论文题名: Lidar-based approaches for estimating solar insolation in heavily forested streams
作者: Richardson J.J. ; Torgersen C.E. ; Monika Moskal L.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 7 起始页码: 2813
结束页码: 2822
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
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162945
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
Richardson J.J.,Torgersen C.E.,Monika Moskal L.. Lidar-based approaches for estimating solar insolation in heavily forested streams[J]. Hydrology and Earth System Sciences,2019-01-01,23(7)