Using Leaf Area Index, retrieved from optical imagery, in the STICS crop model for predicting yield and biomass of field crops

Field Crops Research

Volumn 131, Issue , 2012, Pages 63-74

  Jégo, Guillaume ^a   Pattey, Elizabeth ^a   Liu, Jiangui ^a  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

Author keywords

CASI; Corn; Landsat TM ETM+; MTVI2; Soybean; Spring wheat

Indexed keywords

AGRICULTURAL MANAGEMENT; BIOMASS; CLIMATE CHANGE; CROP YIELD; CULTIVATION; GROWING SEASON; IMAGE RESOLUTION; LANDSAT THEMATIC MAPPER; LEAF AREA INDEX; MAIZE; REMOTE SENSING; SATELLITE IMAGERY; SEEDING; SOIL TEXTURE; SOYBEAN; SPATIAL RESOLUTION; SPOT; WHEAT;

CANADA; ONTARIO [CANADA]; OTTAWA;

GLYCINE MAX; TRITICUM AESTIVUM; ZEA MAYS;

EID: 84859867127     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fcr.2012.02.012     Document Type: Article

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