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A National Assessment of Wetland Status and Trends for Canada’s Forested Ecosystems Using 33 Years of Earth Observation Satellite Data

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A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series

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A space-time data cube: Multi-temporal forest structure maps from landsat and lidar

An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites

scholarly article by Txomin Hermosilla et al published March 2015 in Remote Sensing of Environment

Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach and remotely sensed data

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Differentiation of Alternate Harvesting Practices Using Annual Time Series of Landsat Data

Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series

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Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada

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Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots

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Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring

article by Txomin Hermosilla et al published 13 June 2016 in International Journal of Digital Earth

Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics

scholarly article by Txomin Hermosilla et al published December 2015 in Remote Sensing of Environment

Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots

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Updating Landsat time series of surface-reflectance composites and forest change products with new observations

article by Txomin Hermosilla et al published December 2017 in International Journal of Applied Earth Observation and Geoinformation