Predicting winter wheat condition, grain yield and protein content using multi-temporal EnviSat-ASAR and Landsat TM satellite images

International Journal of Remote Sensing

Volumn 27, Issue 4, 2006, Pages 737-753

  Liu, Liangyun ^a   Wang, Jihua ^a   Bao, Yansong ^a   Huang, Wenjiang ^a   Ma, Zhihong ^a   Zhao, Chunjiang ^a  

^a NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKSCATTERING; BIOMASS; CROPS; FORECASTING; GRAIN (AGRICULTURAL PRODUCT); OPTICAL SENSORS; PROTEINS; REGRESSION ANALYSIS; SATELLITES; SYNTHETIC APERTURE RADAR;

GRAIN YIELD; LANDSAT TM SATELLITE IMAGES; MULTI-TEMPORAL ENVISAT-ASAR; WINTER WHEAT CONDITION;

REMOTE SENSING;

LANDSAT THEMATIC MAPPER; REMOTE SENSING; SATELLITE IMAGERY; WHEAT;

TRITICUM AESTIVUM;

EID: 33645711391     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500296867     Document Type: Article

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