They are used for habitat and species mapping, biodiversity determination, land change detection, monitoring of conservation areas, and the development of GIS layers [2-8]. In many cases, remote sensing data can partially replace the often time consuming and expensive ground surveys [2, 9]. Also change detection of the earth’s surface can be investigated due to the availability of long-term data [10-12].Remote sensing offers a cost efficient means for delineating wetlands over a large area at different points in time and can provide useful information on wetland characteristics [5, 9, 13, 14]. Based on various remote sensing data types, many methods for delineating water bodies have been described [5, 15]. Wetland delineation involves most often the use of aerial photographs and airborne or satellite remotely sensed data [5, 15]. In the past, visual interpretation of wetlands from maps, aerial photography, and hard copy of satellite images have been used extensively [5, 16]. Currently, also digital image processing is used [2]. There is no standard method for computer-based wetland classification [5, 17]. Landsat, SPOT, AVHRR, IRS, and radar systems are the most frequently used satellite sensors for wetland detection [5].On optical imagery, clear open water bodies are relatively easy to detect by means of computer aided classification, since water has a characteristic spectral reflectance. The most distinctive feature is the energy absorption at near-IR wavelengths and beyond [16]. Characteristics like water quality, turbidity and chlorophyll contents can also be determined using optical remote sensing techniques, but are more complicated to assess [16, 18, 19].Unlike optical systems, radar is an active sensing device. It transmits short bursts of electromagnetic (EM) radiation to a surface target and measures the energy response returned from that target [16]. The response of the signal largely depends on the roughness of the illuminated area. A very smooth surface, like an open water body, reflects the signal away from the radar, resulting in a very weak response [20]. Contrarily, on very rough surfaces, such as vegetated soils, incident EM signals interfere and are ��scattered�� in all directions, including the direction of the radar antenna [20]. This physical behaviour implies that a very simple and straightforward distinction between smooth open water surfaces and rough dryland surfaces can be established by means of threshold criteria. Another promising aspect of the active radar sensor is its independency of solar illumination [20]. As such, images can be acquired day and night. Moreover, the microwave signal, with a frequency ranging between 220 MHz and 40 GHz, is not absorbed by clouds or haze, as optical signals are.