Mapping paddy rice agriculture over China using AMSR-E time series data
作者： Peilin Song , Lamin R Mansaray , Jingfeng Huang , Wenjiang Huang , None
DOI: 10.1016/J.ISPRSJPRS.2018.08.015
关键词:
摘要: Abstract This study investigates the potential of AMSR-E surface soil moisture (SSM) time series data to distinctively identify paddy rice pixels and map cultivated area at national scales. Taking China as test site, we first established applied a planting index (PRPI) each 25 km pixel over entire country during period 2003–2011. A mathematical model was then constructed for retrieval scale using obtained from PRPI input, high coefficient determination (R2 = 0.86) recorded scale. Provincial validation modeled fraction shows correlation (R) up 0.94. In subsequent step, inter-annual variations in retrieved areas were evaluated with annual agricultural census data, an R-value 0.93 recorded. good performance proposed method also when validated against MODIS distribution images, which, five out seven selected sub-regions, had R-values larger than 0.85, while 0.70–0.75 other two. The results demonstrate that is effective mapping agriculture scales, therefore, applicability algorithm on continental global scales worth investigating.
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