Multi-data approach for crop classification using multitemporal, dual-polarimetric TerraSAR-X data, and official geodata

European Journal of Remote Sensing

Volumn 51, Issue 1, 2018, Pages 62-74

  Hütt, Christoph ^a   Waldhoff, Guido ^a  

^a UNIVERSITY OF COLOGNE   (Germany)

Author keywords

Ancillary data; Crop mapping; GIS; Multi Data Approach; Multitemporal; Phenology; SAR; TerraSAR X

Indexed keywords

CROPS; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; POLARIMETERS; REMOTE SENSING; SATELLITES; SUGAR BEETS;

ANCILLARY DATA; CROP MAPPING; MULTI-DATUM; MULTI-TEMPORAL; PHENOLOGY; TERRASAR-X;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; CROP; CROP PLANT; GIS; LAND COVER; LAND USE; MODEL VALIDATION; PHENOLOGY; POLARIZATION; POPULATION GROWTH; REMOTE SENSING; SATELLITE DATA; SYNTHETIC APERTURE RADAR; TEMPORAL ANALYSIS; TERRASAR-X; VEGETATION MAPPING;

BETA VULGARIS SUBSP. VULGARIS; BRASSICA NAPUS; HORDEUM; SECALE CEREALE; SOLANUM TUBEROSUM; TRITICUM AESTIVUM; ZEA MAYS;

EID: 85047218996     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.1080/22797254.2017.1401909     Document Type: Article

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