Spatiotemporal regression Kriging to predict precipitation using time-series MODIS data

Abstract

Accurate prediction of the spatiotemporal distribution of precipitation is an important guide for more efficient agricultural production. However in the Xinjiang Uygur Autonomous Region, China, it is difficult to ensure accuracy due to sparse and unevenly distributed precipitation monitoring stations. The precipitation on raster grids must be predicted from… (More)
DOI: 10.1007/s10586-016-0708-0

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