Volume 9, Issue 2 (2006)                   MJSP 2006, 9(2): 111-148 | Back to browse issues page

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Shayan S, Molamehr Alizadeh1 F, Janati M. Remotely Sensed Data Efficiency on Landform Maps Production and Its Role in Environmental Planning: A Case Study of Semnan Province/Iran.. MJSP 2006; 9 (2) :111-148
URL: http://hsmsp.modares.ac.ir/article-21-8982-en.html
Remotely Sensed Data Efficiency on Landform Maps Production and Its Role in Environmental Planning: A Case Study of Semnan Province/Iran.
Siavosh Shayan 1, Fatemeh Molamehr Alizadeh12 , Mehdi Janati3
1- Assistant Professor, Department of Geography, Tarbiat Modares University, Tehran, Iran
2- M.Sc. Graduated of Geomorphology, Shahid Beheshti University, Tehran, Iran
3- M.Sc. Graduated of GIS,Tarbiat Modares University, Tehran, Iran
Abstract:   (6312 Views)
Landform maps show the earth’s surface phenomena and nature of the processes that have been working to produce them. These maps are valuable in spatial planning, agricultural purposes, environmental conservations and forecasts and natural hazards prevention. The study area is a vast province of semnan/Iran (area:96816 km2) with different physiographical conditions from mountainous areas to playas and desert landscapes. Because of difficulties for deep field surveys and time limitation, investigation of the region was done by RS data and some geomorphologic sampling. So, RS data with high spectral characteristics such as LANDSAT were used and combined with those of high spatial resolution such as IRS-PAN in ER-MAPPER 6.3 for better analysis and enhanced classification of geomorphologic features of the study area. Therefore, the region was classified in to 27 classes in ARC/VIEW 3.2a.Then, the results were loaded in Arc Info7.2.1 in order to generate a GIS-ready system. Also, DEM of the region was produced using topographic maps for further studies. The produced landform maps can be used for many environmental plans and reasonable adaptation by real world.
Keywords: Remote Sensing, Data Fusion, geomorphology, Digital Terrain Model (DTM), Landform Classification, Semnan Province
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Received: 2004/11/6 | Accepted: 2005/02/28 | Published: 2010/04/21
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