Published February 1994 | Version v1
Journal article

Updated thermal model using simplified short-wave radiosity calculations

Description

An extension to a forest canopy thermal radiance model is described that computes the short-wave energy flux absorbed within the canopy by solving simplified radiosity equations describing flux transfers between canopy ensemble classes partitioned by vegetation layer and leaf slope. Integrated short-wave reflectance and transmittance-factors obtained from measured leaf optical properties were found to be nearly equal for the canopy studied. Short-wave view factor matrices were approximated by combining the average leaf scattering coefficient with the long-wave view factor matrices already incorporated in the model. Both the updated and original models were evaluated for a dense spruce fir forest study site in Central Maine. Canopy short-wave absorption coefficients estimated from detailed Monte Carlo ray tracing calculations were 0.60, 0.04, and 0.03 for the top, middle, and lower canopy layers corresponding to leaf area indices of 4.0, 1.05, and 0.25. The simplified radiosity technique yielded analogous absorption values of 0.55, 0.03, and 0.01. The resulting root mean square error in modeled versus measured canopy temperatures for all layers was less than 1°C with either technique. Maximum error in predicted temperature using the simplified radiosity technique was approximately 2°C during peak solar heating. (author)

Additional details

Publishing Information

Journal Title
Remote Sensing of Environment
Journal Volume
47
Journal Issue
2
Journal Page Range
p. 167-175
ISSN
0034-4257

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47009567
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
CANOPIES; FIRS; FORESTS; LEAVES; MONTE CARLO METHOD; SOLAR ENERGY; SOLAR HEATING; SPRUCES; THERMAL RADIATION
Descriptors DEC
CALCULATION METHODS; CONIFERS; ELECTROMAGNETIC RADIATION; ENERGY; ENERGY SOURCES; HEATING; PINOPHYTA; PLANTS; RADIATIONS; RENEWABLE ENERGY SOURCES; TREES

Optional Information

Notes
FAO/AGRIS record; ARN: US9445474