3RD INTERNATIONAL CONGRESS ON TECHNOLOGY - ENGINEERING & SCIENCE - Kuala Lumpur - Malaysia (2017-02-09)

Satellite Based Comparative Analysis Of Landsat-8 Operational Land Imager, Advanced Land Imager And Hyperion Data For Mapping Applications

This study investigated the Landsat-8 Operational Land Imager (OLI) launched in year 2013 to determine its suitability for mapping applications due to its enhanced signal-to-noise ratio (SNR), spectral band configuration, technical superiority, improved system design and high radiometric resolution as compared to earlier Landsat series. Earlier Landsat series had a lower SNR, comparatively smaller radiometric resolution and limitations in spectral band configurations. Landsat 8 OLI provides monitoring and more accurate mapping applications with improvements in data quality due to advances in its noise reduction and spectral coverage designs. The OLI and ALI data classifications were made by applying SVM, SAM and SID classifiers, while Hyperion data classifications were made by applying an SVM classifier. Accuracy assessments of the OLI and ALI data classified by SVM, SAM and SID classifiers and Hyperion data classified by an SVM classifier were carried out. These results confirmed that OLI technology with its superior radiometric performance and improved design resulted more accurate inland water and land use /cover mapping in the study area as compared to the ALI data.
Keywords: Artificial Intelligence, Hyperspectral, Imaging processing, Operational Land Imager, Remote Sensing

Wasim Pervez, Shoab Ahmad Khan, Ejaz Hussain, Faisal Amir, Junaid Aziz Khan