Evaluation of Land use land cover mapping of Shadegan Marsh using Remote Sensing and GPS technologies

Remote sensing and GPS technologies have shown their abilities to map our environment. In this research an attempt has been made to study the usefulness of remote sensing data to produce maps of coastal marsh of Shadegan area Southern part of Iran in the scale of. This marsh had already a general land cover of types Phragmites sp and Typha sp. As a result of drought since late in this area, these species have been replaced with other plant communities. In the managerial point of view, the recognition of the replaced new plant communities is very important for further marsh management. In this regard, Landsat ETM + geocoded data pertaining to the study area used to first generate an enhanced image data through fusion algorithm of GEOMATICA image processing software from ETM + bands, , and. Using this enhanced image data set and based on MLC algorithm a map showing land cover plant categories was generated. It is resulted that the trend of plant species from center part of marsh to outer part observed to be from marsh species to non-marsh species. The overall classification accurancy was percent in comparison with a sampling ground truth map (about percent of total area).