Obtain the Patterns of Global Forest NPP and its Influence Factors with Google Earth Engine

Nowadays, we are easy to access time series earth observation data of multiple kinds. However, since the data is so big, to effectively use them, the traditional way of processing has been challenged. Google earth engine is a powerful cloud platform that equipped with petabyte-scale archive of publicly available remote sensed data and high-performance online analysis abilities. In this paper, the patterns of global forest NPP is analyzed using this amazing tool in a data-driven perspective. Nine categories of forest are obtained with the SOM method based on their NPP levels, and their correlation with different climate zones and forest types are obtained. The correlations between their influence factors are also presented, and different patterns are found with interesting indications.