Object-based crop identification using multiple vegetation indices, textural features and crop phenology

Remote Sensing of Environment

Volumn 115, Issue 6, 2011, Pages 1301-1316

  Peña Barragán, José M ^a   Ngugi, Moffatt K ^a   Plant, Richard E ^a   Six, Johan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Agriculture; ASTER; Decision tree; Field scale; OBIA; Spectral and textural features

Indexed keywords

AGRICULTURAL AREAS; ASTER; BARE SOILS; CALIFORNIA , USA; CLASSIFICATION MODELS; CONFUSION MATRICES; CROP IDENTIFICATION; CROP PHENOLOGY; DATA SETS; ECOLOGICAL STUDIES; ERROR RATE; FEATURE SELECTION; FIELD-SCALE; HIERARCHICAL FEATURES; INTERPRETABLE RULES; INTRA-CLASS VARIATION; LAND MANAGEMENTS; MAIN GROUP; MIXED PIXEL; MODEL DESIGN; NEAR INFRARED; NON-PHOTOSYNTHETIC VEGETATION; NORMALIZED DIFFERENCE VEGETATION INDEX; OBIA; OBJECT BASED; OBJECT BASED IMAGE ANALYSIS; PATTERN VARIABILITY; PIXEL HETEROGENEITY; POLICY DEVELOPMENT; REMOTELY SENSED DATA; SHORT WAVE INFRARED; SOIL MANAGEMENT PRACTICES; SPECTRAL SIMILARITY; SPECTRAL VARIABLES; TEXTURAL FEATURE; THEMATIC CLASSIFICATION; VEGETATION INDEX;

AGRONOMY; CLASSIFICATION (OF INFORMATION); CROPS; CULTIVATION; DECISION TREES; FEATURE EXTRACTION; FORESTRY; GLOBAL WARMING; GREENHOUSE GASES; IMAGE SEGMENTATION; INFRARED RADIATION; ORCHARDS; PIXELS; RATING; REMOTE SENSING; STATISTICAL TESTS;

VEGETATION;

AGROECOLOGY; ASTER; GREENHOUSE GAS; GROWING SEASON; MANAGEMENT PRACTICE; NDVI; PHENOLOGY; POLICY DEVELOPMENT; REMOTE SENSING; SATELLITE DATA;

MEDICAGO SATIVA;

EID: 79953182966     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.01.009     Document Type: Article

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