Paper
14 November 2007 Satellite estimation of photosynthetically active radiation in Jiangxi Province
Shihua Li, Zheng Niu, Wenbo Xu
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902D (2007) https://doi.org/10.1117/12.750531
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Incident photosynthetically active radiation (PAR) is a key variable needed by almost all terrestrial ecosystem models. Unfortunately, the current incident PAR products estimated from remotely sensed data at spatial and temporal resolutions are not sufficient for carbon cycle modeling and various applications. In this study, the author improved Eck and Dye model which is a PAR simulating model using ultraviolet reflectance. The advantage of the ultraviolet over existing visible band approaches to estimating insolation is the improved ability to discriminate clouds from high-albedo background surfaces. Ultraviolet spectral reflectance data from the Total Ozone Mapping Spectrometer(TOMS) was used to test the approach for Qianyanzhou station, southeast of China. Estimates of 8-day composition total incident PAR from the satellite technique differed from measurement values by higher than 3.47%. The incident PAR over Jiangxi Province was mapped in 2003 and 2004. The results indicate that this approach can produce reasonable PAR product and is suitable for regional and global applications, although more quantitative validation activities are still needed.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shihua Li, Zheng Niu, and Wenbo Xu "Satellite estimation of photosynthetically active radiation in Jiangxi Province", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902D (14 November 2007); https://doi.org/10.1117/12.750531
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reflectivity

Data modeling

Ultraviolet radiation

Atmospheric modeling

Clouds

Ozone

Satellites

Back to Top