Paper
8 February 2001 Development of a model of radiation balance near ground level and application to satellite data analysis: focus on the estimation of radiative energy from surface/air based on measurment data
Kanako Muramatsu, Noboru Fujiwara
Author Affiliations +
Proceedings Volume 4151, Hyperspectral Remote Sensing of the Land and Atmosphere; (2001) https://doi.org/10.1117/12.417004
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan
Abstract
Solar irradiance, surface and air temperatures change periodically day by day. Then we measured the surface temperature, air temperature, humidity and wind velocity types of ground object such as concrete, asphalt, soil and grass every hour for one cycle namely 24 hours. The relationship between the diurnal radiative energy form surface/air and diurnal solar irradiance was studied as a function of time. If the phases of them were adjusted to each other, a linear relationship was established between them. The relationship between diurnal radiative energy form surface and that form air were studied. The clear linear relationship was found to hold between them. The values of parameters of the relationship were determined using measured data and compared with the estimated values using the radiation balance model. Finally, we tried to estimate radiative energy from surface/air integrated over a day using Landsat/TM data.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kanako Muramatsu and Noboru Fujiwara "Development of a model of radiation balance near ground level and application to satellite data analysis: focus on the estimation of radiative energy from surface/air based on measurment data", Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); https://doi.org/10.1117/12.417004
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KEYWORDS
Solar energy

Temperature metrology

Satellites

Wind energy

Solar radiation

Heat flux

Data modeling

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