Integration of Remote Sensing Data in a Cloud Computing Environment

Abstract

With the rapid development of remote sensingl
technology, our ability to obtain remote sensing data hasl
been improved to an unprecedented level. We have enteredl
an era of big data. Remote sensing data clear showing thel
characteristics of Big Data such as hyper spectral, highl
spatial resolution, and high time resolution, thus, resultingl
in a significant increase in the volume, variety, velocity andl
veracity of data.This paper and in view of the current issues
of remote sensing data integration, we proposed an OODT-based
data integration framework. Specifically, aiming at heterogeneous
features of multi-source remote sensing data, we proposed an ISO
19115-2:2009-based metadata transform method to achieve unity
of metadata format in the distributed sub-centers. Constructingl
a distributed executed engine based on dask ensures thel
efficient analysis of large-scale RS data. This work couldl
provide a convenient and efficient multidimensional datal
services for many remote sens-ing applications.l