Abstract
SiBUC (Simple Biosphere including Urban Canopy) is one of the participants of the Second Global Soil Wetness Project (GSWP2). It uses mosaic approach to incorporate all kind of land-use into LSS. As for farmland, 4 types of crops are considered; spring wheat, winter wheat, corn, and soybean. Not a small part of the world's cropland is irrigated. In order to estimate global soil moisture field as accurately as possible, it is necessary to prepare some parameters which the irrigation scheme needs. The purpose in this study are to prepare a global dataset of crop type and cropping calendar with 1-degree resolution. Through the time series analysis of NDVI, farmland is classified into 4 types and global distribution of cropping calendar (seeding, harvesting, etc.) is produced. In this study, the original index is introduced: Normalized NDVI.
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