Investigate the Potential of Multi Spectral Satellite Data for Mapping the Water Depth and the Area Adjacent to Reservoir (Case Study: Chah Nimeh Reservoirs in Sistan)

Due to the limited resources of water it is vital to investigate the quantity condition of reservoirs in order to plan for different usage of water as well as monitoring the sedimentation process. In this study the OLI sensor data from LANDSAT-8 satellite for Jan 2015 is used for producing Chah Nimeh water reservoir depth map and the map for the area around the lake. The water depths were measured with meter using boat. Water indices such as MNDWI, NDWI, AWEL, WRI and NDMI were generated using satellite data. By running simple linear regression between each index and field data the description coefficient R2 for water depth was calculated. Finally the water depth map was produced using MNDWI index which had the highest R2 equal to 0.85. The water depth map was produced using reclassifying of the MNDWI index. The map for the reservoir adjacent lands was generated using depth measuring results and hybrid image classification method. Results showed that the highest area are associated to 4-6m level depth. Map accuracy was assessed by producing error matrix which showed acceptable accuracy. Results showed that the map accuracy decreased with increase in water depth. The Z-TEST analysis showed however that in 0.01 level there was no significant difference between lowest depth map and deep water map accuracy.