Using low resolution satellite imagery for yield prediction and yield anomaly detection

Remote Sensing

Volumn 5, Issue 4, 2013, Pages 1704-1733

  Rembold, Felix ^a   Atzberger, Clement ^b   Savin, Igor ^c   Rojas, Oscar ^d  

^a JOINT RESEARCH CENTRE   (Italy)

^b UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

^c DOKUCHAEV SOIL SCIENCE INSTITUTE   (Russian Federation)

^d FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

Author keywords

Agriculture; Low resolution; Remote sensing; Yield forecasts

Indexed keywords

FUNDAMENTAL COMPONENT; GEOGRAPHICAL COVERAGE; HIGH TEMPORAL FREQUENCY; LOW RESOLUTION; LOW RESOLUTION IMAGES; OPERATIONAL SYSTEMS; PERFORMANCE ANOMALY; QUALITATIVE AND QUANTITATIVE APPROACHES;

AGRICULTURE; CROPS; FORECASTING; REMOTE SENSING;

SATELLITE IMAGERY;

EID: 84877678838     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5041704     Document Type: Review

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