Utilizing remote sensing techniques to produce land use mapping of Razzaza-Habbaria Area

Abstract EN

Remote Sensing application at Razzaza–Habbaria area southwest of Razzaza Lake shows the different geomorphologic units and the land use maps that were delineated from Landsat ETM+ Image.

Digital Image unsupervised classification was adopted to delineate the different classes by applying ERDAS 8.4 software.

According to this classification five classes were selected and delineated in different colors.

Landforms on the earth surface are so expensive to map or monitor.

Remote Sensing observations from space platforms provide a synoptic view of terrain on images.

Satellite multispectral data have an advantage in that the image data in various bands can be subjected to digital enhancement techniques for highlighting contrasts in objects for improving image interpretability.

Land Use mapping involves the partitioning of the terrain into conceptual spatial entities based upon criteria.

This paper illustrates how geomorphometry and mapping approaches can be used to produce Land Use information related to the land surface, landforms and geomorphic systems.