Journal Article

·2014 OPEN ACCESS

Quantitative assessment of remotely sensed global surface models using various land classes produced from Landsat data in Istanbul

Naci̇ Yastikli YTU , Umut Güneş Sefercik , Fatih Esirtgen

Chinese Geographical Science

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Remote sensing Physical geography Surface (topology) Geography Mathematics Geometry

Subject Areas

Remote Sensing and LiDAR Applications ·Environmental Engineering ·Physical Sciences
Remote Sensing in Agriculture ·Ecology ·Physical Sciences
Satellite Image Processing and Photogrammetry ·Ocean Engineering ·Physical Sciences

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