Mr. Hang Yin Profile

Hang Yin

at Institute of Remote Sensing and Digital Earth

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Proceedings Article | 8 November 2014 Paper

Determination of snow cover for the Tibetan Plateau (1983-1999) from NOAA-AVHRR LTDR

Hang Yin, Siyuan Wang, Jie Li

Proceedings Volume 9260, 92600L (2014) https://doi.org/10.1117/12.2069272

KEYWORDS: Snow cover, Clouds, Environmental sensing, Meteorology, Spatial resolution, Sensors, Algorithm development, Reflectivity, Image classification, Climatology

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As one of the most active elements in nature, snow cover is an important parameter in studying climatic variations, surface radiation budget (SRB) and hydrology cycle. Complementary to ground-based station data, satellite time series provide a systematic view of snow cover over large spatial scale. Before the year 2000, only NOAA-AVHRR data provides the opportunity to analyze more than 15 years of optical satellite imagery on a high time-resolution basis. Long Term Data Record (LTDR) funded by National Aeronautics and Space Administration (NASA) offers the latest data sets with improved atmospheric correction and inter-calibration between sensors, which has not been tested in snow cover determination. Taking the Tibetan Plateau (TP) as the study area, we applied an adequate algorithm to develop long-term 8-day cloud-free snow cover products (1983-1999) using AVHRR archival reflectance products (AVH09C1) from LTDR. Here, we added the altitude and the influence of seasonal variations to the algorithm as the two additional parameters. To certain the threshold of brightness temperature(BT), we calculated the correlation between brightness temperature and the two additional parameters in supervised snow area. Then Landsat Thematic Mapper (TM) data and the meteorological station data from 1983~1999 were utilized to test the accuracy of our products. Based on these products, we carried on a preliminary analysis on seasonal distribution of snow cover during 1983~1999.

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