Abstract
Abstract. The Northern Lakes play a significant role in Egyptian economy for fish production in Egypt. Until 1991, these Lakes have always contributed more than 40% of the country's total fish production, but at present this has decreased to less than 12.22% as they serve as reservoirs for drainage waters, which contaminated with anthropogenic materials. Since Remote sensing and GIS are suitable and valuable techniques to identify the rate of land reclamation of the coastal lakes over the last three decades. This was undertaken using different kinds of imagery to employ historical remotely sensed data to reveal the long-term changes in the physical characteristics of the lagoon. This paper explains how remote sensing coupled with GIS can be used for lake monitoring applied on some Egyptian coastal lakes as example.
Highlights
1.1 General InstructionsRemotely sensed images can be used as a tool to map ecosystems and to detect, monitor and evaluate changes within them thereby supporting the development of resource management strategies
Table (2) summarizes each identified class area in three different dates plus the reported recent study was interested in classification of Lake Burullus land use
It has been shown that information from satellite re-mote sensing can play a useful role in understanding the nature and extent of changes in lake land use/ land cover and lake size/ delineation, where they are occurring and monitoring these changes at local scale
Summary
1.1 General InstructionsRemotely sensed images can be used as a tool to map ecosystems and to detect, monitor and evaluate changes within them thereby supporting the development of resource management strategies. Sensed data can be used to span temporal and spatial scales ranging from local to aggregated global systems (Graetz,1990). Monitoring global, regional and local areas can be per-formed by restricting the analysis to a single sensor series or by using different satellite data. With the availability of data from remote sensing satellites such as the Landsat series, it has become cost effective and convenient to acquire multi-date images over a greater array of spatial and temporal scales than was possible with aerial photography. The temporal resolution of data (the ability to obtain repeated coverage of a specific geographic area, 16 days in the case of Landsat TM) from such sources permits regular image acquisition over the same area enabling change detection at relatively high tem-poral frequency,(Lillesand et .al, 1998)
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