An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI

International Journal of Applied Earth Observation and Geoinformation

Volumn 72, Issue , 2018, Pages 99-108

  Lai, Y R ^a   Pringle, M J ^b   Kopittke, P M ^a   Menzies, N W ^a   Orton, T G ^a,b   Dang, Y P ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b DEPARTMENT OF ENVIRONMENT AND RESOURCE MANAGEMENT   (Australia)

Author keywords

Precision agriculture; Remote sensing; Within field variability

Indexed keywords

CROP YIELD; EMPIRICAL ANALYSIS; LANDSAT; NDVI; PRECISION AGRICULTURE; PREDICTION; REMOTE SENSING; WHEAT;

AUSTRALIA;

TRITICUM AESTIVUM;

EID: 85065088899     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2018.07.013     Document Type: Article

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