Abstract: A calculating method of national land's ecosystem service values is proposed,which is based on multi-source of remote sensing information,mainly the land cover product obtained in the project of the first Geographic National Conditions Investigation.It analyses the data characters and the big data's engendering process.Combining the classification standard of terrestrial ecosystem in China and the equivalent value factor per unit ecosystem area,the big data calculating algorithm is designed.And Lishui city,Zhejiang province is selected as the study area for validating the calculating method.The results show that the total value of ecosystem services in Lishui city in 2015 is 9.682×10¹⁰ Y,and the per capita is 3.70×10⁴ Y.Specially,forest supplies the most ecosystem service values,followed by water,grassland,farmland,and desert.The research shows that on the basis of multi-source of remote sensing information mainly the land cover product obtained in the project of the first Geographic National Conditions Investigation,high-precision quantification and spatialization ecosystem service values can be calculated and achieved.The big data calculating algorithm has solved the problems of multi-source remote sensing information integration I/O and calculating load in the processing;and the operational efficiency and performance can meet the calculating needs.

Key words: ecosystem service values, remote sensing information, geographic national conditions investigation, land cover, big data, calculation