Smoothing, Interpolating and Tracking the Principal Attributes of Plant Phenology from Space-Based Platforms

Smoothing, Interpolating and Tracking the Principal Attributes of Plant Phenology from Space-Based Platforms
John F. Hermance, Brown U. Robert W. Jacob, Brown U.	Bethany A. Bradley; Princeton John F. Mustard, Brown U.
Example of inter-annual curve fit to highly variable plant phenology: (Click image for larger version.)

Access a short synopsis of latest work. Bradley, B. A., and Mustard, J. F., 2005, Identifying land cover variability distinct from land cover change: Cheatgrass in the Great Basin. Remote Sensing of Environment, 94, pp. 204-213. (access through journal.) Bradley, B. A., R.W. Jacob, J.F. Hermance, and J.F. Mustard. 2006. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data. submitted to Remote Sensing of Environment, in press. Hermance, J. F., 2006, Stabilizing High-Order, Non-Classical Harmonic Analysis of NDVI Data for Average Annual Models by Damping Model Roughness, submitted to International Journal of Remote Sensing, in press. Hermance, J. F., R. W. Jacob, B. A. Bradley and J. F. Mustard, 2006, Extracting Phenological Signals from Multi-Year AVHRR NDVI Time Series: Framework for Applying High-Order Annual Splines with Roughness Damping. Submitted to IEEE Transactions of Geoscience and Remote Sensing, June, 2006.
Brown University Providence, RI