The use of remote sensing techniques in the classification of land cover in the district of Kufa

Abstract

Abstract: Classification of land cover and land uses is a basic step in the planning process, and its management is in a way that guarantees its sustainability and the economic and social well-being of the community. Remote sensing techniques have provided advantages that traditional methods of surveys and monitoring of changes in natural and human resources cannot provide. In the district of Kufa, which was subjected to significant changes during the study period 2007-2018, as a result of the interaction of a group of natural and human factors, to monitor and detect the change and to know the direction, area and percentages of change for each item and its signature on maps. High-resolution satellite visuals (60 * 60) were used. For the Quick Bird satellite for the year 2007, and a high-resolution video (40 * 47) for the year 2018, and the Landsat 7 satellite images for the summer and winter seasons of 2007, and the Landsat 8 satellite images for the summer and winter seasons for the year 2018, for which digital treatments were made from the cutting process according to the area of ​​the study area As well as the processes of radiological and spatial improvements, the integration of data, and the mixing of colors for visuals to increase the possibility of visual interpretation of them, through the integration of the method of interpretation. The digital view of directed and undirected classification and classification by means of spectral fingerprint analysis, visual interpretation and digital evidence. And then the classification of land cover and land uses, based on the system of Anderson and others, and determining the classification levels up to the fourth level in some varieties and signing them on individual maps, and then calculating the areas covered by these varieties and their percentage of the total area of ​​the study area. In the last stage, the change in the varieties during The duration of the study and the result was the production of a detailed database for all items, that the human factor was the greatest factor in changing the environment of the study area from the drying of Marsh Ibn Najm, which is inversely proportional in terms of area with barren lands and agricultural lands, resulting from the use of several numerical evidences calculating areas and estimating proportions and revealing The change of the resulting varieties, and the spectral reflectivity charts showed that it is possible to distinguish between the types of phenomena by studying their spectral reflection and determining their observation sites on the electromagnetic spectrum.