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  • ACRS 1995


    Poster Session 2

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    Capability of Remote Sensing Application in Landuse, Land Resources with using TM Data, GIS Facilities, in Part of Iran

    Majid Ghiassi, Mehrdad Nematzadeh
    Remote Sensing Specialist
    Agricultural Static and Info.
    Dept. (ASID) Ministry of Agriculture Tehran Iran.
    Phone: 9821-6122104
    Fax:9821:650377

    Abstract
    Capability of the landsat thematic mapper (TM) with high resolution, has now become much applicable to mapping, the various units of land resources, efficiently and accurately in a shorter period of time. During work described in this paper an at tempt has been made to prepare various Landuse map by visual and digital interpretation of the TM data in conjunction with field check, covering an area about 68450 square km, in northern part of IRAN. In this project for interpretation, of the 9 quadrant from TM data, including visual interpretation, geometric correction, image enhancement, and classification were applied to investigate, the total of 7 magor landuse levels, with their detailed sub-classes.

    The GIS facilities also were applied to overlay and combine the results of visual and digital analysis.

    The result of this project were the 1:100,000 scale landuse maps with the 30 by 30 geographic coordinates.


    Location of Area in Photomap of Iran

    1: Introduction
    The thematic mapper (TM) data form landsat satellite have been utilized in Iran for the last few years to recognize and assess, land resources in various ways, proving their efficient performances as a good tool, especially for landuse mapping and land deduction in general.

    However the advent of the thematic mapper (TM) data with high resolution has made the mapping work facilitate better interpretation and analysis of the required object, as such, in this paper an attempt has been made to extract various information of crop land and land resources of Gilan region.

    2: Method and Meterials
    To start with, the false color composit of the landsat TM, data inbands, 2,3,4 and 4,5,7 in the month of June July 1989, 1990 1991 and 1993 at the average of 1:100,000 scale, were selected, the total image are 9 quadrants which cover the gilan province, an area about 68450 square km were chosen, for visual analysis as reflected through the image characteristics, during the month of July when the data were scanned, most of the crops land were harvested, or in some part were not devoid of crops, consequently, the radiant energy which produced the spectral signature mostly form the harvested surface, with communicated a good and use full-idea to the interpreter that the various image characteristics recorded on the imagery were mainly due to the variation of crop land and soil color with the colors of exposed stones, and rocks, in forest region, and bare surface, the interpretative boundary become almost of crop land boundary in the region, all these interpretative units were correlated and compared with available data in hand, finely a landuse units were extract, after collection of ground truth, for compared interpretative units boundary with digital analysis units and available CCT tape, digitizing map also apply the GIS method, to overlay and combine together.


    Location of Study Area in Index of TM:

    3: Visual Interpretation
    The interpretation of the TM data was car red out in the Remote sensing laboratory, ASID on the basis of various image characteristics to occur in the area

    Meterial
    This project was performed using map, satellite landsat (TM) data.

    The MAP were:

    Soil map classification of study area 1:250000 scale
    Geology map of area 1:250000
    Forest map of area 1:250000
    Topography map of area 1:250000
    Hydrology map of area 1:250000

    Sensor Date Pixel Scale
    Landsat-TM June 1989 30x30 100000
    June 1990 30x30 100000
    July 1991 30x30 100000
    January 1993 30x30 100000


    Landsat-III Designation Wavelength
    CCT. July 1993 1 0.45-0.52 um
    2 0.52-0.60 um
    3 0.63-0.69 um
    4 0.76-0.90 um
    5 1.55-1.75 um
    7 2.08-2.35 um
    spectral bands of the sensor


    Image of Study Area - 1989


    Image of Study Area - 1991


    Image of Study Area-1989

    3.1 Field Work
    With these recognition units, a quick traverse was prepared, in the field to collect ground truth on landuse map, physiography, for preparation of the maps corresponding to the landuse map, other scientist have also collaborated various natural resources.

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