Refined shape model fitting methods for detecting various types of phenological information on major U.S. crops

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 138, Issue , 2018, Pages 176-192

  Sakamoto, Toshihiro ^a  

^a FOOD RESEARCH INSTITUTE   (Japan)

Author keywords

Barley; Cotton; MOD12Q2; MODIS; Phenology; Wheat

Indexed keywords

BIOLOGY; CALIBRATION; COTTON; DATA FLOW ANALYSIS; HARVESTING; MEAN SQUARE ERROR; RADIOMETERS; SATELLITE IMAGERY; STATISTICS;

BARLEY; MOD12Q2; MODIS; PHENOLOGY; WHEAT;

CROPS;

ACCURACY ASSESSMENT; BARLEY; CALIBRATION; COTTON; CROP PLANT; CROP YIELD; DATA SET; DETECTION METHOD; ENVIRONMENTAL STRESS; ERROR ANALYSIS; MODEL; MODEL VALIDATION; MODIS; PHENOLOGY; STATISTICAL ANALYSIS; STATISTICAL DATA; WHEAT;

UNITED STATES;

GLYCINE MAX; GOSSYPIUM HIRSUTUM; HORDEUM; TRITICUM AESTIVUM; ZEA MAYS;

EID: 85042402897     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2018.02.011     Document Type: Article

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