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Proceedings Paper

Regression imputation with ground air temperature for the satellite-based lake and reservoir temperature database in Japan
Author(s): Hideyuki Tonooka
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Paper Abstract

Water temperature monitoring for inland water bodies like lakes and reservoirs is important in the aspects of biodiversity conservation, and global warming monitoring. However, most of inland water bodies except for a few large water bodies have not fully or never been monitored on water temperature, partly because in-situ temperature measurements are not easy for small water bodies which are widely scattered and variously managed by individuals, companies, governments etc. Thus, the satellite-based lake and reservoir temperature database in Japan (SatLARTD-J) has been developed since 2009. At present, the database contains surface temperature data for 934 water bodies which were retrieved from thermal infrared (TIR) images of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument onboard NASA’s Terra satellite, but its temporal resolution is only four times per year in average. In order to improve this, the author demonstrates regression imputation for SatLARTD-J using ground air temperature data provided from the Automated Meteorological Data Acquisition System (AMeDAS) operated by Japan Meteorological Agency. The validation study using in-situ data from two Japanese lakes indicates that an expected imputation error will be about 2 K.

Paper Details

Date Published: 21 November 2012
PDF: 7 pages
Proc. SPIE 8524, Land Surface Remote Sensing, 85240O (21 November 2012);
Show Author Affiliations
Hideyuki Tonooka, Ibaraki Univ. (Japan)

Published in SPIE Proceedings Vol. 8524:
Land Surface Remote Sensing
Dara Entekhabi; Yoshiaki Honda; Haruo Sawada; Jiancheng Shi; Taikan Oki, Editor(s)

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