IJIGSP Vol. 11, No. 6, 8 Jun. 2019
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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.
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
[1]John L. Dwyer, David P. Roy, Brian Sauer, Calli B., Jenkerson, Hankui K. Zhang, Leo Lymburner, “Analysis Ready Data: Enabling Analysis of the Landsat Archive” Journal reference: Remote Sens. 2018, 10, 1363.
[2]Steve Foga , Brian Davis, Brian Sauer, John Dwyer, “The Future of Landsat Data Products: Analysis Ready Data and Essential Climate Variables”, USGS, 2016
[3]Alexey V. Egorov , David P. Roy, Hankui K. Zhang, Zhongbin Li, Lin Yan and Haiyan Huang, “Landsat 4, 5 and 7 (1982 to 2017) Analysis Ready Data (ARD) Observation Coverage over the Conterminous United States and Implications for Terrestrial Monitoring”, Remote Sensing 2019, 11, 447; doi:10.3390/rs11040447
[4]John L. Dwyer1, David P. Roy, Brian Sauer1, Calli B. Jenkerson , Hankui K. Zhang, Leo Lymburner, “Analysis Ready Data: Enabling Analysis of the Landsat Archive”.
[5]Scott Soene, “ Planet’s framework for Analysis Ready Data”.
[6]ISRO, “Resourcesat-2,” April, 2007. [Online]. Available: https://www.isro.gov.in/Spacecraft/resourcesat-2.
[7]NRSC, “Download Softwares,” Jan., 2017. [Online]. Available:https://nrsc.gov.in/Satellite_Data_Products_Overview?q=Download_Softwares_1.
[8]John Weier, "Measuring Vegetation (NDVI & EVI)," Aug. 2000. [Online]. Available: https://earthobservatory.nasa.gov/Features/MeasuringVegetation/.
[9]Yale University, “Center for Earth Observation,” Jan., 2016. [Online]. Available: https://yceo.yale.edu/how-convert-landsat-dns-top-atmosphere-ToA-reflectance.
[10]Zhangyan Jiang, Alfredo R. Huete, Youngwook Kim and Kamel Didan, “2-band Enhanced Vegetation Index without a blue band and its application to AVHRR data,” In Proc. Remote Sensing and Modeling of Ecosystems for Sustainability, vol. 6679, pp. 65-68, 2007.