| Water salinity mapping of Karun basin located in Iran using the SVR method |
| Paper ID : 1046-SMPR |
| Authors: |
|
Mohsen Ansari1, Mehdi Akhoondzadeh *2 1Remote Sensing Division, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran , Tehran , Iran 2Remote Sensing Division, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran |
| Abstract: |
| Water salinity is a key physical parameter and it affects water quality, growth, and development of the aquatic vegetation and animals. The salinity of Karun River has been increasing due to climate condition and regional physiography, industrial sources, domestic and urban sewerage, Irrigation of agricultural land, fish hatchery, Hospital sewage, and high tide level of Persian Gulf. This study aimed at building regression models to find out the water salinity through the relationship between reflectance of the Landsat -8 OLI and in situ measurements. Support Vector Regression (SVR) method was applied in the study. 102 in situ measurements have been collected from June 2013 to July 2018 along the Karun River and divided into 75:25 for training and test purpose. Finally, the result proved that 〖(R〗^2) and RMSE were 0.7 and 390 μs cm^(-1) which are acceptable considering the large size, geographic complexity of the study domain and the wide range of field data that changes between 385 and 4310 μs cm^(-1). |
| Keywords: |
| Water salinity, Landsat-8 OLI, SVR, Remote sensing, Karun basin |
| Status : Conditional Accept (Poster) |
