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    Author(s): D.J. Hayes; W.B. Cohen
    Date: 2006
    Source: Remote Sensing of Environment. 106: 1-16
    Publication Series: Scientific Journal (JRNL)
    PDF: Download Publication  (3.30 MB)


    This article describes the development of a methodology for scaling observations of changes in tropical forest cover to large areas at high temporal frequency from coarse-resolution satellite imagery. The approach for estimating proportional forest cover change as a continuous variable is based on a regression model that relates multispectral, multitemporal Moderate Resolution Imaging Spectroradiometer (MODIS) data, transformed to optimize the spectral detection of vegetation changes, to reference change data sets derived from a Landsat data record for a study site in Central America. A number of issues involved in model development are addressed here by exploring the spatial, spectral, and temporal patterns of forest cover change as manifested in the multitemporal spectral data sets.

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    Hayes, D.J.; Cohen, W.B. 2006. Spatial, spectral and temporal patterns of tropical forest cover change as observed with multiple scales of optical satellite data. Remote Sensing of Environment. 106: 1-16


    Satellite image change detection, tropical land cover and land use change, MODIS

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