Skip to Main Content
Spatial, spectral and temporal patterns of tropical forest cover change as observed with multiple scales of optical satellite data.Author(s): D.J. Hayes; W.B. Cohen
Source: Remote Sensing of Environment. 106: 1-16
Publication Series: Scientific Journal (JRNL)
PDF: View PDF (3.30 MB)
DescriptionThis 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.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
CitationHayes, 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
KeywordsSatellite image change detection, tropical land cover and land use change, MODIS
- Estimating proportional change in forest cover as a continuous variable from multi-year MODIS data
- Fitting the multitemporal curve: a fourier series approach to the missing data problem in remote sensing analysis
- Forest land cover change (1975-2000) in the Greater Border Lakes region
XML: View XML