Application of Self Organizing Map and SRTM data to characterize yardangs in the Lut desert, Iran

Remote Sensing of Environment

Volumn 112, Issue 7, 2008, Pages 3284-3294

  Ehsani, Amir Houshang ^a,b   Quiel, Friedrich ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Morphometric feature; Neural network; Self Organizing Map; SRTM; Yardangs

Indexed keywords

DATA ACQUISITION; EROSION; ERROR ANALYSIS; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE RESOLUTION; SATELLITE IMAGERY;

MORPHOMETRIC FEATURE; UNSUPERVISED ALGORITHMS; YARDANGS;

SELF ORGANIZING MAPS;

ARID ENVIRONMENT; ARTIFICIAL NEURAL NETWORK; CROSS SECTION; DATA QUALITY; DESERT; GEOMORPHOLOGY; LANDFORM; MAP; REMOTE SENSING; SATELLITE IMAGERY; TOPOGRAPHY; VALLEY; WIND EROSION;

ASIA; EURASIA; IRAN; LUT DESERT; MIDDLE EAST; SISTAN VA BALUCHESTAN;

EID: 44649149517     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.04.007     Document Type: Article

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