Exploring Climate Change and Its Impact on Agriculture Using Volunteered Geographic Information

Abstract The PhD research exposed in this paper aims to develop workflows for fine scale study of climate change and its impact on agriculture using volunteered geographic information in phenology. First, a consistency checking workflow was developed to ensure the quality of volunteered observations. Next, by using novel predictors, spatio-temporal variation in plant phenology is modeled so that we can move from point-related to gridded phenological products. After that, long term gridded time series of phenological data relevant to agriculture is generated using the developed phenological models