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Assessment of georeferencing methods on MODIS Terra/Aqua and VIIRS NPP satellite images in Vietnam

Pham, Van Ha and Nguyen, Thi Nhat Thanh and Bui, Quang Hung and Klein, Pascal and Astrid, Jourdan and Dominique, Laffly (2018) Assessment of georeferencing methods on MODIS Terra/Aqua and VIIRS NPP satellite images in Vietnam. In: 2018 the 10th International Conference on Knowledge and Systems Engineering (KSE), 01-03 November 2018, Ho Chi Minh city, Vietnam. (In Press)

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In this study, several georeferencing methods such as Polynomial, Thin Plate Spline (TPS) and geolocation transformations are applied on satellite images over Vietnam areas from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard Terra/Aqua satellites and Visible Infrared Imaging Radiometer Suite (VIIRS) sensor aboard the Suomi National Polar-orbiting Partnership (NPP) satellite. In comparison with global administrative areas data, the georeferenced images of TPS function have a better fitting than Polynomial function. In addition, the experimental results highlighted the effect of georeferencing methods on satellite aerosol optical depth (AOD) data in which TPS function produce a higher quality than Polynomial function on both MODIS Terra/Aqua and VIIRS AOD images. Validation results indicated strong correlation between AERONET AOD and TPS georeferenced images (R2 = 0.739, 0.537 and 0.596 for MODIS Terra, MODIS Aqua and VIIRS AOD, respectively) meanwhile these correlations of Polynomial are lower (R2 = 0.596, 0.443 and 0.475 for MODIS Terra, MODIS Aqua and VIIRS AOD, respectively). The correlations between MODIS AOD and VIIRS AOD images are also affected by georeferencing methods. The average of these correlations on TPS georeferenced images is 0.72 meanwhile mean correlation of Polynomial is 0.51. This study focused on the assessment of georeferencing methods and highlighted the effect of these methods on the quality and correlation of satellite AOD images.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO)
Faculty of Information Technology (FIT)
Depositing User: Dr Thi Nhat Thanh Nguyen
Date Deposited: 29 Oct 2018 04:24
Last Modified: 29 Oct 2018 04:24

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