MODTrendr algorithm (Sulla-Menashe et al., 2014) was applied to 14-year time series of peak-summer
Normalized Burn Ratio (NBR) composites derived from the MODIS Nadir BRDF-Adjusted Reflectance
product (Schaaf et al., 2002). MODTrendr predicts timing (first year), duration (number of years)
and magnitude (differenced Normalized Burn Ratio, dNBR) of the greatest forest disturbances. Only
short-term disturbances of duration less than 6 years were considered.
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Sulla-Menashe, D., Kennedy, R.E., Yang, Z., Braaten, J., Krankina, O.N., & Friedl, M.A. 2014.
Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal
segmentation. Remote Sensing of Environment (in press). Available online 7 November 2013,
ISSN 0034-4257, URL
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Schaaf, C.B., Gao, F., Strahler, A.H., Lucht, W., Li, X., Tsang, T., Strugnell, N.C., Zhang, X.,
Jin, Y., & Muller, J.P. (2002). First operational BRDF, albedo, nadir reflectance products from
MODIS. Remote Sensing of Environment, 83, 135-148.
- D. Pflugmacher, D. Sulla-Menashe, O. Krankina. “ASSESSMENT OF THE MODTRENDR ALGORITHM FOR MAPPING
FOREST DISTURBANCES IN NORTHERN EURASIA” NELDA-II REPORT (UNPUBLISHED)
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