Paper Details

ABSTRACT

In this paper we proposed that How Real time Big data can be managed for remote sensing application using Hadoop as a tool.Managing Big data is one of the biggest problem,its a new turn to the cost oriented companies by managing huge volume of data, velocity and variety of information. The real-time Big data for remote sensing application looks easy at first, but the useful data extraction in a effective manner gives the system towards a enormous computational challenges, they are analyzing, aggregating, and storing, here information are remotely gathered. Keeping in view that the above said points; designing such a system which calls for a both offline, as well as online processing of data needed. That’s why, in this paper, we discuss real-time Big Data for remote sensing satellite application using hadoop as a tool. In the Architecture it has three main blocks, they are 1) remote sensing Big Data acquisition unit (RSDU); 2) data processing unit (DPU); 3) data analysis decision unit (DADU).Firstly, RSDU will collect data from the satellite and transmit this data to the Base Station, where starting task process takes place. Later DPU plays an important role in architecture for effective processing of real-time Big Data by providing filtration, load balancing, and parallel processing. Then DADU is responsible for storage of the results, and generation of decision based on the results received from DPU. The Design has the power of dividing, load balancing, and parallel processing of only useful data. Thus, it results in efficiently analyzing real-time remote sensing Big Data using earth observatory system. Finally,a detailed analysis of remotely sensed earth observatory Big Data for land and sea area are provided using Hadoop as tool.