A web-based application for beekeepers to visualise patterns of growth in floral resources using MODIS data

作者：Arundel Jonathan^*; Winter Stephan; Gui Guan; Keatley Marie

来源：Environmental Modelling & Software, 2016, 83: 116-125.

DOI：10.1016/j.envsoft.2016.05.010

• Remote sensing
• MODIS
• Honey bee
• Phenology

The honey bee industry is of immense importance to global agriculture. In many countries beekeepers are migratory and move their hives between flowering events. Predicting such flowering events is particularly difficult in Australia due to the irregular flowering of eucalypts. We have developed a web based application for Victorian beekeepers to visualise patterns of growth in floral resources using MODIS and other data, and thus make remote predictions about whether flowering will occur at their apiary sites. We demonstrate the use of this application through comparing ironbark (Eucalyptus tricarpa) growth patterns with flowering and honey production records. While the scientific community as a whole has embraced the use of satellite imagery as a tool for phenological studies, our prototype represents the first attempt to make this same information available to a more general audience.

• 出版日期2016-9