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Forest Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Agriculture

TÜBİTAK

2003

Remote sensing

Articles 1 - 2 of 2

Full-Text Articles in Forest Sciences

A Remote Sensing Approach For Detecting Agricultural Encroachment On The Eastern Mediterranean Coastal Dunes Of Turkey, Süha Berberoğlu, Hakan Alphan, Kemal Tuluhan Yilmaz Jan 2003

A Remote Sensing Approach For Detecting Agricultural Encroachment On The Eastern Mediterranean Coastal Dunes Of Turkey, Süha Berberoğlu, Hakan Alphan, Kemal Tuluhan Yilmaz

Turkish Journal of Agriculture and Forestry

The aim of this study was to develop an effective procedure for detecting land use/land cover (LU/LC) changes resulting from agricultural encroachment on eastern Mediterranean coastal dunes by using remote-sensing techniques. Historic LU/LC information was extracted from aerial photos taken in 1976 and IKONOS imagery was acquired in 2002 to determine the current LU/LC pattern. The remotely sensed aerial and satellite data were classified by integrating spectral information with measures of texture, in the form of statistics derived from the variance, co-occurrence matrix and variogram. The performance of these classification approaches was evaluated in terms of error matrices. The accuracy …


Soil Erosion Risk Assessment With Icona Model; Case Study: Beypazarı Area, İlhami̇ Bayrami̇n, Orhan Dengi̇z, Oğuz Başkan, Mehmet Parlak Jan 2003

Soil Erosion Risk Assessment With Icona Model; Case Study: Beypazarı Area, İlhami̇ Bayrami̇n, Orhan Dengi̇z, Oğuz Başkan, Mehmet Parlak

Turkish Journal of Agriculture and Forestry

In this research, the applicability of geographic information system (GIS) and remote sensing (RS) techniques was tested to assess soil erosion risk with the ICONA erosion model. This study was carried out in the Ankara-Beypazarı area because of its variety of diverse landforms, land uses and land covers. The erosion risk assessment phase of this model consists of seven steps that mainly use slope, geology, land use and land cover information. A potential erosion risk map (step 3) was obtained from the slope (step 1) and lithofacies layers (step 2) generated using a digital elevation model (DEM) and digital geological …