Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery

Computers and Electronics in Agriculture

Volumn 127, Issue , 2016, Pages 531-540

  Asgarian, Ali ^a   Soffianian, Alireza ^a   Pourmanafi, Saeid ^a  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Agriculture; Crop type mapping; Landsat 8; Phenological information; Remote sensing

Indexed keywords

AGRICULTURAL MACHINERY; AGRICULTURE; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES; IMAGE RESOLUTION; MAPPING; ORCHARDS; REMOTE SENSING; VEGETABLES;

AGRICULTURAL LANDSCAPES; CLASSIFICATION METHODS; CROP TYPE MAPPINGS; DECISION-TREE ALGORITHM; LANDSAT; PHENOLOGICAL INFORMATION; SEMI-ARID ENVIRONMENTS; SPATIAL RESOLUTION IMAGERY;

CROPS;

AGRICULTURAL LAND; ALFALFA; ALGORITHM; BARLEY; HABITAT FRAGMENTATION; HETEROGENEITY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LANDSAT; PHENOLOGY; REMOTE SENSING; SATELLITE IMAGERY; SEMIARID REGION; SPATIAL RESOLUTION; VEGETABLE; VEGETATION MAPPING; WHEAT;

IRAN;

HORDEUM; MEDICAGO SATIVA; SOLANUM TUBEROSUM; TRITICUM AESTIVUM;

EID: 84989965354     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.07.019     Document Type: Article

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