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

, , , and . Remote Sensing, 9 (6): 515 (2017)

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Near real-time deforestation monitoring in tropical ecosystems using satellite image time series., , , and . IGARSS, page 2020-2023. IEEE, (2012)Biophysical drought metrics extraction by time series analysis of SPOT Vegetation data., , , , and . IGARSS, page 2062-2065. IEEE, (2004)Characterizing Tropical Forest Cover Loss Using Dense Sentinel-1 Data and Active Fire Alerts., , , , , and . Remote Sensing, 10 (5): 777 (2018)Consistent forest change maps 1981-2000 from the AVHRR time series: Case studies for South America and Indonesia., , , , , , , , and . MultiTemp, page 1-4. IEEE, (2015)A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing., , , and . Remote. Sens., 14 (21): 5538 (2022)Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values., , , , and . ICDE, page 385-396. IEEE, (2020)Effects of clumping on modelling LiDAR waveforms in forest canopies., , , , , and . IGARSS, page 3391-3394. IEEE, (2012)Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI., , , , , , , and . Remote. Sens., 12 (6): 915 (2020)Spatio-Temporal Segmentation Based on Subsequences of Satellite Image Time Series., , , and . IGARSS (2), page 950-953. IEEE, (2008)Detecting Clear-Cuts and Decreases in Forest Vitality Using MODIS NDVI Time Series., , , , and . Remote Sensing, 7 (4): 3588-3612 (2015)