1 / 16

Research Student : Engr Mahdi Hassan Mallah Roll No. (10 MEEE 05)

Research Student : Engr Mahdi Hassan Mallah Roll No. (10 MEEE 05). The quality of surface water is largely affected by anthropogenic inputs such as (municipal and industrial wastewater discharge).

lydia
Download Presentation

Research Student : Engr Mahdi Hassan Mallah Roll No. (10 MEEE 05)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Research Student : Engr Mahdi Hassan Mallah Roll No. (10 MEEE 05)

  2. The quality of surface water is largely affected by anthropogenic inputs such as (municipal and industrial wastewater discharge). The physico chemicals are the indicator of water quality, it is necessary to monitor quality with help of analytical tools Remote sensing is a powerful technique for surveying, mapping and monitoring earth resources

  3. , The study area of Mancher Lake

  4. Topographic features of the lake Boundary North: agriculture land (Dadu) South: hills, dry land East: agriculture land Sehwan) West: hills, dry land

  5. Landsat MSS, TM digital data • Auxiliary data e.g: • Topographic Map • Digital photography use map • GCPs Ground Control points data using GPS Geometrical correction Image Enhancement / Mosaiking Chemical analysis Sampling Image Masking pH Image sub setting COD Collection of region of interests (ROI) BOD Maximum Likelihood scheme ROI Supervised classifications EC Supervised classified Image TDS Hardness Change detection Final Results Figure: 2. Methodology for image classification & Water Quality [7, 8, 9, 10] Assessment of Water Quality and Change Detection

  6. Any Questions

More Related