In monsoon Asia, optical satellite remote sensing for rice paddy phenology suffers from atmospheric contaminations mainly due to frequent cloud cover. We evaluated the quality of satellite remote sensing of paddy phenology: (1) through continuous in situ observations of a paddy field
in Japan for 1.5 years, we investigated phenological signals in the reflectance spectrum of the paddy field; (2) we tested daily satellite data taken by Terra/Aqua MODIS (MOD09 and L1B products) with regard to the agreement with the in situ data and the influence of cloud contamination. As
a result, the in situ spectral characteristics evidently indicated some phenological changes in the rice paddy field, such as irrigation start, padding, heading, harvest and ploughing. The Enhanced Vegetation Index (EVI) was the best vegetation index in terms of agreement with the in situ
data. More than 65% of MODIS observations were contaminated with clouds in this region. However, the combined use of Terra and Aqua decreased the rate of cloud contamination of the daily data to 43%. In conclusion, the most robust dataset for monitoring rice paddy phenology in monsoon Asia
would be daily EVI derived from a combination of Terra/MODIS and Aqua/MODIS.
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Document Type: Research Article
Graduate School of Life and Environment Sciences, University of Tsukuba, Tennodai, Tsukuba, Japan
Institute of Agricultural and Forest Engineering, University of Tsukuba, Tennodai, Tsukuba, Japan
National Institute for Agro-Environmental Sciences, 3-1-3, Kannondai, Tsukuba, Japan
National Institute of Advanced Industrial Science and Technology, 1-1-1, Umezono, Tsukuba, Japan
Publication date: 2009-01-01
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