Generation of Analysis Ready Data for Indian Resourcesat Sensors and its Implementation in Cloud Platform

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Thara Nair 1 Akshay Singh 2 E.Venkateswarlu 1 G.P.Swamy 1 Vinod M Bothale 1 B. Gopala Krishna 1

1. National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), India

2. Jaypee Institute of Information Technology, India

* Corresponding author.


Received: 6 Mar. 2019 / Revised: 19 Apr. 2019 / Accepted: 22 May 2019 / Published: 8 Jun. 2019

Index Terms

Analysis ready data, image processing, PaaS cloud platform, reflectance, remote sensing, resourcesat, satellite imagery, vegetation index


The introduction of remote sensing techniques had lead  us into a new race of advanced data processing applications. The analysis ready data is also a part of it which is generated at the producer end to facilitate its user to directly go on to the application part. This paper highlights the generation, processing and cloud applications of the Analysis Ready Data (ARD) using ISRO's Satellites Resourcesat-2 and Resourcesat-2A's LISS-3 sensor data. The proposed work includes use of terrain corrected data for generating Radiance, Top of Atmosphere (ToA) Reflectance, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Time series analysis with pixel level Quality Assessment (QA) for all the generated data products. A graphical user interface has been developed for online ordering of data by the user. This paper also highlights the implementation of the developed application in cloud platform  using the cloud computing model,  Platform as a Service (PaaS).This facilitates the users to generate the ARD products from any device, facilitating a quick and all time available transmission rate for the customers.

Cite This Paper

Thara Nair, Akshay Singh, E. Venkateswarlu, G.P. Swamy, Vinod M Bothale, B. Gopala Krishna, "Generation of Analysis Ready Data for Indian Resourcesat Sensors and its Implementation in Cloud Platform", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.6, pp. 9-17, 2019. DOI: 10.5815/ijigsp.2019.06.02


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