Object based technique for delineating and mapping 15 tree species using VHR WorldView-2 imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9239, Issue , 2014, Pages

  Mustafa, Yaseen T ^a   Habeeb, Hindav N ^b  

^a UNIVERSITY OF ZAKHO   (Iraq)

^b Directorate of Forestry   (Iraq)

Author keywords

Kurdistan Region Iraq; Remote sensing; Satellite imagery; Supervised classification; Tree species

Indexed keywords

AGRICULTURE; ECOLOGY; ECOSYSTEMS; FORESTRY; HYDROLOGY; MAPPING; MAXIMUM LIKELIHOOD; SATELLITE IMAGERY;

CLASSIFICATION METHODS; FOREST SUSTAINABILITY; KURDISTAN; MAHALANOBIS DISTANCES; NORMALIZED DIFFERENCE VEGETATION INDEX; SATELLITE REMOTE SENSING; SUPERVISED CLASSIFICATION; TREE SPECIES;

REMOTE SENSING;

CLASSIFICATION; FORESTRY; IMAGE ANALYSIS; KAPPA NUMBER; REMOTE SENSING; SATELLITES;

EID: 84937214642     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2067280     Document Type: Conference Paper

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