• Jayati Gandhi

Earth Observation (EO) has been constantly generating large amount of Geospatial data over the last few years which is used in resource monitoring, environment protection, and disaster prediction. The applications like Ground surveying, remote sensing and mobile mapping produces geo-spatial data. The growth of EO data has great challenges in recent approaches for data management and processing. By applying the traditional data analysis tools many issues arises when we use these huge amount of data. Therefore the Array Database technologies are used in managing and processing EO Big Data’s. Array database technologies are mainly used to support multi-dimensional data management and analysis. The Array database technologies such as Rasdaman and Open data cube are used. It provides flexible, fast, scalable geo services for multi-dimensional data. The main aim of this paper is to implement the efficient way of storing, retrieving and processing of temporal satellite data by doing the comparative analysis of Open data cube and Rasdaman array database.

Remote sensing, Earth Observation Data, Array Database, Open data cube, Rasdaman.

"A Comparative study of Rasdaman and Open Datacube for Time Series Geospatial Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.591-594, June 2019, Available :http://www.jetir.org/papers/JETIR1907M78.pdf

"A Comparative study of Rasdaman and Open Datacube for Time Series Geospatial Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp591-594, June 2019, Available at : http://www.jetir.org/papers/JETIR1907M78.pdf