چکیده:
Land degradation is a major danger which restricting different areas of Iran. Systematic description of the environment for detection of environmental changes and the human-related causes and responses is essential in land cover change study. Use of land cover data allow detection of where certain changes occur, what type of change, as well as how the land is changing. Existing systems for classification of land cover is limited in the storage of the number of classes and is
often internally inconsistent. Therefore, Food and Agriculture Organization of the United Nations (FAO), developed the land cover classification system (LCCS), a comprehensive parametric classification based upon systematic description of classes using a set of independent quantifiable diagnostic criteria. With this approach land cover change detection becomes possible at the level of conversion of a class, whereas modification within a certain class type becomes immediately identifiable by a difference in classifier, or through the use of additional classifiers as is shown in a series of examples illustrating the application of the approach to primarily vegetated areas. Our study showed this approach is match with exist information and dates for land cover mapping in Iran.
خلاصه ماشینی:
A land covers classification system for environment assessment in semi-arid regions of Iran Land degradation is a major danger which restricting different areas of Iran.
Therefore, Food and Agriculture Organization of the United Nations (FAO), developed the land cover classification system (LCCS), a comprehensive parametric classification based upon systematic description of classes using a set of independent quantifiable diagnostic criteria.
With this approach land cover change detection becomes possible at the level of conversion of a class, whereas modification within a certain class type becomes immediately identifiable by a difference in classifier, or through the use of additional classifiers as is shown in a series of examples illustrating the application of the approach to primarily vegetated areas.
Thus, land covers classification are essential for a variety of diagnostic and predictive models that simulate the functioning of the earth systems and are useful for investigating regional and global change (Brown de Colstoun and Walthall, 2006).
1. Existing classifications Traditional classification systems dealing with land cover and/or land-use (Danserau, 1961; Fosberg, 1961; Trochain, 1961; Eiten, 1968; UNESCO, 1973; Mueller-Dombois and Ellenberg, 1974; Anderson et al.
, 1976; Kuechler and Zonneveld, 1988; ECE-UN, 1989; UNEP/FAO, 1994; CEC, 1995; Duhamel, 1995; Thompson, 1996) are limited in their capacity of storage of classes and often do not contain the whole variety of occurring land covers.
In the developed parametric approach, the use of diagnostic criteria and their hierarchical arrangement to form a land cover class are a function of geographical accuracy.