AL-HAWIZEH MARSH MONITORING METHOD USING REMOTELYSENSED IMAGES

Israa  Muhsin

doi:10.24996/ijs.2011.52.3.%g

Authors

Israa Muhsin Remote Sensing Unit, College of Science, University of Baghdad. Baghdad-Iraq.

DOI:

https://doi.org/10.24996/ijs.2011.52.3.%25g

Keywords:

Al-Hawizeh Marsh , supervised classification , minimum distance classification

Abstract

The main objectives of the present research are of two goals; first, to define and
locale the main cover types (components) of AL-Hawizeh Marshes, and second, to
track and detect the changes encountered in these cover types (components) during
the last three decades time episodes To fulfill these goals, LANDSAT and MODIS
images were applied. The LANDSAT images (MSS-1973, TM-1990 and ETM+
2002) were used to determine the Marshlands cover types before, during and after
the Marsh destruction (marshes dehydrations). One MODIS image was selected to
cover the main changes that have been happened in 2010. Programming; Supervised
classifications (minimum distance classification) were applied for monitoring the
mean changes that have been happened on the objectives of Al-Hawizeh Marsh.