ACRS2017_2.pdf

ABSTRACT: Nowadays it is impossible to live another second without space technology and information gathered from space. The rapid pace of the development of satellite wildlife tracking tools has left little time for thorough testing of new equipment and identifying possible sources of technical failures. Remote sensing data are some of the most effective input data for developing country like Mongolia. In particular, multispectral and hyperspectral space-borne and airborne data are widely used to study changes in land use and land cover. Further different natural and anthropogenic processes including fire detection, snow mapping, and grassland / rangeland vulnerability are mapped and evaluated by remote sensing data. This paper describes the current situation concerning the satellite big data in Mongolia. Within the scope of the paper, challenges and solutions related to the satellite big data have been reviewed.