Assessing in-season crop classification performance using satellite data: A test case in Northern Italy

European Journal of Remote Sensing

Volumn 49, Issue , 2016, Pages 361-380

  Azar, Ramin ^a   Villa, Paolo ^a   Stroppiana, Daniela ^a   Crema, Alberto ^a   Boschetti, Mirco ^a   Brivio, Pietro Alessandro ^a  

^a INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT   (Italy)

Author keywords

Crop type; Early mapping; Landsat 8 OLI; Multi temporal data; Supervised classification

Indexed keywords

CLASSIFICATION (OF INFORMATION);

CROP CLASSIFICATION; LANDSAT; MAXIMUM ACCURACIES; MULTI-TEMPORAL DATA; OVERALL ACCURACIES; SPECTRAL INDICES; SUPERVISED ALGORITHM; SUPERVISED CLASSIFICATION;

CROPS;

ACCURACY ASSESSMENT; AGRICULTURAL PERFORMANCE; GROWING SEASON; IMAGE CLASSIFICATION; LANDSAT; MAIZE; MAPPING; RICE; SATELLITE DATA; SOYBEAN; TEMPORAL ANALYSIS;

GLYCINE MAX; ZEA MAYS;

EID: 84986904940     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.5721/EuJRS20164920     Document Type: Article

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