Spatial‐temporal monitoring of forest disease dynamics

Liu, D., M. Kelly, and P. Gong. 2006. A Spatial‐temporal approach for monitoring forest disease dynamics using multi‐temporal high spatial resolution imagery. Remote Sensing of Environment 101(2): 167‐180

Traditional mapping approaches using per-pixel, single-date image classifications have not generated consistently satisfactory results. Incorporation of spatial–temporal contextual information can improve these results. In this paper, we propose a spatial–temporally explicit algorithm to classify individual images using the spectral and spatial–temporal information derived from multiple co-registered images. Pdf download.

Keywords: High spatial resolution . Sudden Oak Death . Multi-temporal imagery . Spatial–temporal classification . Support Vector Machines . Markov Random Fields