Paper
9 December 2015 Land surface temperature inversion of bare soil and vegetation cover based on MODIS data
Jingwen Li, Song Zhou, Zhezhen Wang, Nan Lv, Jianwu Jiang, Ke Wang
Author Affiliations +
Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98083G (2015) https://doi.org/10.1117/12.2206188
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China
Abstract
Land surface temperature is one of the most important parameters in hydrology and agricultural production research . Split-window algorithm based on MODIS data was briefly introduced in this paper and applied in Hetao Irrigation District. Comparison between data retrieval and field collected data showed that data retrieval could reflect land surface temperature basic accurately .Linear fitting of different time series data can improve retrieval precision effectively. The results provide support for drought forecast, soil moisture monitoring etc. in the future.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingwen Li, Song Zhou, Zhezhen Wang, Nan Lv, Jianwu Jiang, and Ke Wang "Land surface temperature inversion of bare soil and vegetation cover based on MODIS data", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083G (9 December 2015); https://doi.org/10.1117/12.2206188
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KEYWORDS
Atmospheric modeling

MODIS

Temperature metrology

Agriculture

Soil science

Data modeling

Vegetation

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