Assessing downscaling limits of spatial resolution for AWIFS and Landsat 8 data as compared to Liss IV

A. Chauhan, M.D. Denis, M. Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Downscaling spatial information has a certain limit. Change in resolution of input image from its original resolution either loses or gains information. To understand this limit accuracy of the downscaled information has to be assessed. This research assesses the downscaled information of AWiFS and LANDSAT 8 as compared and validated by LISS IV. A total of 200 sample points were collected using Systematic Random Sampling. The results showed that the overall accuracy for the supervised classification was 95% for LISS IV where Kappa statistics was 0.92. As the resolution LANDSAT 8 was reduced from 10% to 50% the overall accuracy varied from 84% to 73.5% with 0.79 to 0.65 Kappa coefficient. For AWiFS at the same reducing resolutions, the overall accuracy varied from 80% to 67% with 0.72 to 0.56 kappa coefficients. The results showed that the downscaling limits for AWiFS and LANDSAT8 are only 10% of their actual resolutions. Any downscaling beyond this limit will result in precious information being lost.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages6
ISBN (Print)978-90-365-4201-2
DOIs
Publication statusPublished - 14 Sep 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sep 201616 Sep 2016
Conference number: 6
https://www.geobia2016.com/

Conference

Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
CountryNetherlands
CityEnschede
Period14/09/1616/09/16
Internet address

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