Empowering Geo Spatial Analysis with Big Data Platform

The continuous monitoring of the natural resources generates huge volume of geo spatial data. The structured, semi structured, unstructured data arrive from multiple resources like remote sensing satellite imagery, GPS, field deployed buoys, collected samples - investigated lab reports by biological-chemical scientists and physical oceanographers. The images, geo tagging together constitute the geo spatial data paradigm with the integrated layers and the associated technological components. The Conventional data analysis platforms are not enough to handle the voluminous multi-dimensional geo spatial data. The imagery analysis on the geo spatial data can be carried out with the image mining and deep learning BIGDATA algorithms. This paper briefs the BIG DATA platform for geospatial data analysis - a day to day affair of the natural resource management. This paper showcases how by BIGDATA platform empowerment the voluminous, continuous flow of unclassified geospatial data can be easily stored, extracted, analyzed and visualized.