چکیده:
In recent years, acquiring information of remote sensing data, especially satellite data has excessively increased and several methods are presented in order to improve the quality of remote sensing studies in earth sciences. It is possible to manage many projects and provide different types of thematic maps in a short period of time, and a low cost by utilizing satellite data and GIS method. Recent researches show that utilizing satellite data in studying natural phenomena can
effectively help to reduce the time and cost at the same time maximize the precision. But, many users of these data face confusion at choosing suitable image for their subject and lack a special criterion for that end, Or else they merely take one or two criteria in to account and lack a comprehensive view in choosing the best image. Therefore, defining and analyzing criteria for correct and precise selection of satellite data, in accordance with case-study, is crucial. So, in this
article, we investigate the image selection criteria, especially their role in minimizing time, cost and extracting useful data. On the basis of the results, prior to doing of the project, users of these data need to study selection criteria properly. After that, on the basis of these criteria and phenomena under study they should set out to choose sensor type, date of image acquisition, image type, and methods of information extraction. Therefore in research, different practical aspects of satellite images as well as criteria for selecting suitable images are investigated and subsequently information and suitable solutions are provided for users.
خلاصه ماشینی:
It is possible to manage many projects and provide different types of thematic maps in a short period of time, and a low cost by utilizing satellite data and GIS method.
Introduction Remote sensing is defined as the science and technology of detection and measurement of spectral properties of objects and phenomena related to earth, atmosphere, and sea from a far distant and analyzing the collected data.
To this end, using remote sensing technology and utilizing satellite data lead to decreasing the costs, economizing on time and increasing precision and speed, so this technology is gaining more importance in sustainable development day by day.
Utilizing remote sensing it becomes possible to spend less cost and time but cover a wide range of projects in different global, national, regional, and local levels (Alavi-Panah, 2003).
Information and data gathering from land phenomenon such as urban, rural, mines, forests, soil and vegetation from far distance by using remote sensing technology in time intervals of few hours to some days during a month or a year which happens repeatedly, provides users of different domains of geosciences with a considerable amount of information.
MSS ETM+ images of Arak city One of the other factors for selecting and using remote sensing data is the harmony among spatial, temporal and spectral resolution and usage type.