Jujube yield prediction method combining Landsat 8 Vegetation Index and the phenological length

Computers and Electronics in Agriculture

Volumn 162, Issue , 2019, Pages 1011-1027

  Bai, Tiecheng ^a,c   Zhang, Nannan ^c   Mercatoris, Benoit ^a   Chen, Youqi ^b  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b INSTITUTE OF PLANT PROTECTION   (China)

^c Tarim University   (China)

Author keywords

Landsat 8; NDVI; Phenology length; Remote sensing; Yield forecasting

Indexed keywords

CROPS; FILLING; FORECASTING; FORESTRY; FRUITS; REMOTE SENSING; VEGETATION;

CORRELATION COEFFICIENT; CROP YIELD FORECASTING; INTERANNUAL VARIABILITY; LANDSAT; LANDSAT THEMATIC MAPPER IMAGES; NDVI; PHENOLOGY LENGTH; YIELD FORECASTING;

MAPPING;

ANNUAL VARIATION; CROP YIELD; FRUIT PRODUCTION; LANDSAT; NDVI; PHENOLOGY; PREDICTION; REMOTE SENSING; SPATIAL RESOLUTION; TIME SERIES ANALYSIS; YIELD RESPONSE;

ZIZIPHUS;

EID: 85067989498     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2019.05.035     Document Type: Article

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