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Determining the gaps in agricultural information, such as crop phonology, crop moisture status, and drought indices, to improve agrometeorological analyses for agriculture  

Stone, Roger-C (Queensland Department of Primary Industries and Fisheries, Tor Street Toowoomba, and Faculty of Sciences, University of Southern Queensland, Toowoomba, Australia)
Peter Hayman (South Australian Research and Development Institute, Adelaide, South Australia)
Holger Meinke (Queensland Department of Primary Industries, Tor Street, Toowoomba, Australia)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.6, no.2, 2004 , pp. 94-106 More about this Journal
Abstract
Determining those gaps in agricultural and other information to improve agrometeorological analyses for agriculture is a large task. The effective integration of appropriate data systems, including remote sensing systems, with agricultural systems modelling capability is described as a worthy outcome in this endeavour. Data issues, including those associated with data length, quality, maintenance, and archiving remain serious issues to be addressed. The role of remote sensing and geographic information systems in agrometeorology is important and is explored here. The value of simulation models to provide the synthesis for future agrometeorological requirements is further elucidated.
Keywords
information gap; agrometeorological analyses; agricultural system; agrometeorological requirements;
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