Paper
17 March 2003 Assessing land-use/land-cover mapping of agriculture area using high-resolution satellite data and GIS techniques
Majid Ghiassi Far
Author Affiliations +
Abstract
Remote sensing technology provides useful information on landuse/landcover of a geographical area because of its capability of synoptic viewing multispectral data and repetitive coverage.Its spatial distribution are essential prerequisite for proper planing .In the present study,an attempt has been made to identify and assessing different landuse/landcover classes on the scale of 1:100,000 for centeral region of Iran.Different seasonal satellite data (i.e.landsatTM 1998 19993-4 and 1998 IRS1C LISSIII data) were analyzed to generate complete landuse/landcover information of the aera.The total images was 4 quadrants in both digital and visual interpretation techniques were adopted for landuse/landcover assessing of level III landuse/cover classification, the information available in both seasonal data were further aggregated to generate a single output depicting the information available in both the images. More then 21 landuse/landcover categories were identified and mapped in the area using both the interpretation techniques. The different steps involved in this study area could be explained as below. 1- Defining a comprehensive legend according to the scale of TM,IRS images. 2- Field checking and necessary modification of the primary maps applying the auxiliary data and extant maps to promote the formation depicted on the land use /cover maps. 3- Measurement of land unit surface by applying geographical information system (GIS) facilities to accomplish the work .the total of 4 TM images have been interpreted is 11 sheet with the size of 50 by 70 cm and geographic coordinate of 30 by 30 minutes were produced.
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Majid Ghiassi Far "Assessing land-use/land-cover mapping of agriculture area using high-resolution satellite data and GIS techniques", Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003); https://doi.org/10.1117/12.462368
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KEYWORDS
Satellites

Geographic information systems

Remote sensing

Agriculture

Image classification

Associative arrays

Environmental sensing

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