the efficiency of remote sensing data's assessment in salt marsh monitoring (case study: kashan, iran)

because of large-scale dry regions, salt marsh monitoring is necessary using of remote sensing data's. the aim of this study is to monitor salt kashan using of satellite data's processing. therefore, the satellite images of lissiii sensor were used. initially, the technique of color composite images envi4.8 software was used to clearly distinguish salt. then, principal component analysis (pca), normalized difference vegetation index (ndvi) and composite spectral satellite images techniques were used to monitor the salt marsh. the spectral composite images techniques according to characteristics lissiii sensor characteristics were defined ratio salt index (rsi) and salt normalized difference salt index (ndsi). to assess the resolution of principal component analysis (pca), ndvi index and rsi and ndsi indicators, salt and non-salt distribution of pixels in a two-dimensional plot was investigated. in the final stage to ensure the resolution, the threshold in the range of values were used between zero and 255. finally based of the error matrix and overall accuracy, it became clear that rsi and ndsi indicators in comparison with the first and second components and ndvi data show the best resolution with high accuracy with 82 and 89 respectively. the results showed that rsi and ndsi indicators for monitoring salt marsh of kashan using multi-spectral satellite data are effective in regional scale.