Graduate Thesis Or Dissertation
 

Vegetation characteristics expressed through transformed MODIS data : a MODIS tasseled cap

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/k3569851t

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  • The MODIS NBAR (M0D43B4) data space is explored in terms of biophysical variables with the objective of formulating a MODIS transformation relevant to global vegetation studies. The basic ideas of transform formulation were borrowed from the development of the TM Tasseled Cap transformation, but with differences in sampling strategy and rotation procedures. A random sample was taken from a year's worth of the full global extent of NBAR tiles to yield a sample representative of the full range of spectral variation in the Earth. Principal Components Analysis (PCA) was used to investigate the temporal dynamics of the sample before and after the exclusion of snow and ice from the dataset. This investigation uncovered the potential for the formulation of a MODIS Tasseled Cap transformation, and multidimensional scaling methods were used to rotate the sample data space to match the orientation of the TM Tasseled Cap. The sample in the resulting MODIS transformation space was observed to match the orientation and general biophysical characteristics of the TM Tasseled Cap. The utility of the transformation for global vegetation studies was explored by observing the characteristics of the MODIS Land Cover product (MOD l2Ql) and the MODIS Vegetation Continuous Fields product (M0D44) in the transformed sample space. Observed temporal trends in vegetation phenology were observed at specific sites with known vegetation dynamics. Though the MODIS Tasseled Cap was formulated using NBAR data, the coefficients can be applied to the raw MODIS Surface Reflectance product (MODO9) as well, as determined by the one to one relationship seen in both the raw and transformed NBAR and Surface Reflectance data.
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  • PDF derivative scanned at 300 ppi (24-bit Color and 256 B&W), using Capture Perfect 3.0, on a Canon DR-9080C. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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