Study on the late frost monitoring technology for winter wheat by EOS/MODIS data

Xuefen Zhang; Liang Sun; Rui Sun; Qile Guo; Wen Wang

doi:10.1117/12.797806

2 October 2008 Study on the late frost monitoring technology for winter wheat by EOS/MODIS data

Xuefen Zhang, Liang Sun, Rui Sun, Qile Guo, Wen Wang

Proceedings Volume 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X; 710415 (2008) https://doi.org/10.1117/12.797806
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

Retrieving land-surface temperature with split-window algorithm was firstly applied to NOAA-AVHRR data. With the application of MODIS sensor, its data has been used more and more widely. Since MODIS sensor is able to observe vapor in the air, it can provide the parameters including vapor content and atmospheric transmissivity for split-window algorithm which can thus be applied more conveniently. The article, adopting the split-window algorithms of Becker-Li (1990), Sobrino (1991) and Qin Zhihao (2005), retrieves the surface temperature at daytime and nighttime with MODIS1B data and compares with the surface temperature products of NASA. Finally, the algorithm of Qin Zhihao is demonstrated to be the one with higher accuracy at daytime and nighttime and the algorithm for surface temperature at nighttime is simple with acceptable accuracy.

Citation Download Citation

Xuefen Zhang, Liang Sun, Rui Sun, Qile Guo, and Wen Wang "Study on the late frost monitoring technology for winter wheat by EOS/MODIS data", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 710415 (2 October 2008); https://doi.org/10.1117/12.797806

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