Accurate mapping of forest types using dense seasonal landsat time-series

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 96, Issue , 2014, Pages 1-11

  Zhu, Xiaolin ^a   Liu, Desheng ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Classification; Feature selection; Forest types; Hierarchical approach; Landsat; Seasonal time series

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; MAPPING; FORESTRY; IMAGE CLASSIFICATION; TIME SERIES;

FOREST TYPE; FOREST TYPE MAPPINGS; HIERARCHICAL APPROACH; HIERARCHICAL CLASSIFICATION; LANDSAT; MEDIUM-RESOLUTION SATELLITE IMAGES; OPERATIONAL METHODS; TOPOGRAPHIC INFORMATION;

FORESTRY; MAPPING;

ACCURACY ASSESSMENT; FOREST INVENTORY; FOREST MANAGEMENT; FOREST RESOURCE; HIERARCHICAL SYSTEM; IMAGE CLASSIFICATION; LANDSAT; PHENOLOGY; SEASONALITY; TIME SERIES; COST ANALYSIS; DIGITAL ELEVATION MODEL; MAPPING METHOD; PHOTOGRAMMETRY; REMOTE SENSING; TOPOGRAPHIC MAPPING; VEGETATION TYPE;

CLASSIFICATION; FORESTS; MAPPING; SATELLITES; TIME SERIES ANALYSIS;

OHIO; UNITED STATES; VINTON COUNTY;

EID: 84904287664     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.06.012     Document Type: Article

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