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Characterizing Forest Change Using Community-Based Monitoring Data and Landsat Time Series

PLoS One, Mar 2016, Vol.11(3), p.e0147121 [Peer Reviewed Journal]

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Sustainable intensification of dairy production can reduce forest disturbance in Kenyan montane forests

Agriculture, Ecosystems and Environment, 2018, Vol.265, pp.307-319 [Peer Reviewed Journal]

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Monitoring Deforestation at Sub-Annual Scales as Extreme Events in Landsat Data Cubes

Remote Sensing, 2016, Vol.8(8), pp.urn:issn:2072-4292 [Peer Reviewed Journal]

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Mapping Clearances in Tropical Dry Forests Using Breakpoints, Trend, and Seasonal Components from MODIS Time Series: Does Forest Type Matter?

Remote Sensing, 2016, Vol.8(8), pp.urn:issn:2072-4292 [Peer Reviewed Journal]

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Dimension Reduction of Multi-Spectral Satellite Image Time Series to Improve Deforestation Monitoring

Remote Sensing, 2017, Vol.9(10), pp.urn:issn:2072-4292 [Peer Reviewed Journal]

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Characterizing Tropical Forest Cover Loss Using Dense Sentinel-1 Data and Active Fire Alerts

Remote Sensing, 2018, Vol.10(5), pp.urn:issn:2072-4292 [Peer Reviewed Journal]

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Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests

Biogeosciences, 2016, Vol.13(8), pp.2537-2562 [Peer Reviewed Journal]

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Remotely-sensed detection of effects of extreme droughts on gross primary production

Scientific Reports, 2016, Vol.6, pp.urn:issn:2045-2322 [Peer Reviewed Journal]

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Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57

Remote Sensing, 2018, Vol.10(7), pp.urn:issn:2072-4292 [Peer Reviewed Journal]

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Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series

Remote Sensing, Jun 2017, Vol.9(6) [Peer Reviewed Journal]

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