Mapping Cropping Practices Using MODIS Time Series: Harnessing the Data Explosion |
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| Authors: | Peter Tan Leo Lymburner Medhavy Thankappan Adam Lewis |
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| Institution: | (1) National Earth Observation Group, Geoscience Australia, GPO Box 378, Canberra, ACT, 2601, Australia |
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| Abstract: | The MODIS (Moderate Resolution Imaging Spectroradiometer) 250m EVI dataset provides a valuable ongoing means of characterising
and monitoring changes in land use and resource condition. However the multiple factors that influence a time series of greenness
data make the data difficult to analyse and interpret. Without prior knowledge, underlying models for time series in a given
remote sensing image are often heterogeneous. So while conventional time series analysis methods such as wavelet transform
and Fourier analysis may work well for part of the image, these models are either invalid or must be substantially re-parameterised
for other parts of the image. To overcome these challenges we propose a new approach to distil information from earth observation
time series data. The characteristics of a remote sensing time series are represented by a set of statistics (which we call
coefficients) selected to correspond to the dynamics of a natural system. To ensure the coefficients are robust and generic,
statistics are calculated independently by applying statistical models with less complexity on shorter segments within the
time series. An International Standards Organization (ISO) Land Cover classification (Jansen 2000) was generated for cropping regions in the Gwydir and Namoi catchments, in Australia. Areas identified in the classification
as irrigated and rain fed cropping were analysed using a tailored time series analysis tool. The crop analysis tool identifies
time series features such as the number and duration of fallow periods, crop timing, presence/absence of a crop during a year
for a specific growing season. This information is combined with paddock boundaries derived from Landsat imagery to provide
detailed year-by-year insight into cropping practices in the Gwydir and Namoi catchments. |
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