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dc.contributor.authorAishwarya Hegde A.
dc.contributor.authorPruthviraj U.
dc.contributor.authorShetty A.
dc.date.accessioned2021-05-05T10:15:59Z-
dc.date.available2021-05-05T10:15:59Z-
dc.date.issued2019
dc.identifier.citation2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019 , Vol. , , p. -en_US
dc.identifier.urihttps://doi.org/10.1109/I2CT45611.2019.9033711
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/14910-
dc.description.abstractIn the past few decades number of Earth-observing satellites are continuously gathering information and only about 10 percent of the information is utilized by the users. With so much accessible information the researchers have not explored the datasets completely as there is absence of effective tool to process the information. MODIS data sensors have accessible data at various temporal and spatial resolutions. To productively use these datasets in open-source GIS programming like QGIS, there is a need to pre-process the dataset using a plug-in. The plug-in is built using python and PyQt interface for QGIS.The plug-in operates on MODIS Data (Terra/Aqua/Combined) computerizes and process the functionalities for MODIS products like MOD11, MOD09, MOD21. The processed datasets can be largely used in investigation of time series analysis for some earth resource application. © 2019 IEEE.en_US
dc.titleA QGIS Plug-in for Processing MODIS Dataen_US
dc.typeConference Paperen_US
Appears in Collections:2. Conference Papers

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