| A Novel Water Index (SWI) for Salty Water from Landsat 8 OLI/TIRS |
| Paper ID : 1076-SMPR |
| Authors: |
|
mehdi moradi *, Mahmod Reza Sahebi, Farzaneh Yousefiyan Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology |
| Abstract: |
| Monitoring natural resources is one of the most important tasks in earth observation and remote sensing satellites. Water resources play a crucial role in human life on the planet. Among the water resources, salty lakes have particular importance in biological, physical and environmental issues. In this study, a new Salty Water Index (SWI) for Landsat 8 Operational Land Imager (OLI) images is proposed based on salty lakes by particle swarm optimization (PSO) that waters don’t combine by cloud, shadow and salty area. SWI implemented on four famous and important salty lakes with the proper distribution of the whole world and different Salinity include Lake Assal, Great Salt Lake, Eyre Lake, and Lake Urmia. The performance of SWI is compared with other water indices by overall accuracy, f-score, kappa coefficient and standard deviation to mean ratio. Results show an efficiency of SWI on all case study due to 0.0055 Standard deviation to mean for SWI compared to 0.0395, 0.0255, 0.0873, 0.0214, 0.0524, 0.0408 and 0.0375 for NDWI, MNDWI, AWEIsh, AWEI, WRI, MOWI and MBWI respectively based on overall accuracy. Also, Effectiveness criteria (E) determines the efficiency of each band of Landsat 8 that the results show the high performance of Green and Near IR band in all condition and relatively proper performance of some other bands based on a special condition of each case study. The proposed method is also suggesting to readers to obtain novel spectral indices of other classes and other sensors. |
| Keywords: |
| Water Index; Salty Lake, PSO; Landsat 8; Salty Water Index (SWI); Effectiveness criteria |
| Status : Conditional Accept (Poster) |
