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Feature Level Fusion of Multi-Temporal ALOS PALSAR and Landsat Data for Mapping and Monitoring of Tropical Deforestation and Forest Degradation.

, , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (5): 2159-2173 (2013)

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Seasonal Forest Disturbance Detection Using Sentinel-1 SAR & Sentinel-2 Optical Timeseries Data and Transformers., , and . IGARSS, page 3122-3124. IEEE, (2023)Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network., , and . IEEE Geosci. Remote. Sens. Lett., (2022)A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection., , , , and . Remote. Sens., 7 (5): 4973-4996 (2015)Alert-Driven Community-Based Forest Monitoring: A Case of the Peruvian Amazon., , , , , , , and . Remote. Sens., 14 (17): 4284 (2022)Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning., , , and . IGARSS, page 700-703. IEEE, (2020)Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests., , , , , and . Remote. Sens., 16 (9): 1553 (May 2024)Feature Level Fusion of Multi-Temporal ALOS PALSAR and Landsat Data for Mapping and Monitoring of Tropical Deforestation and Forest Degradation., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (5): 2159-2173 (2013)Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine., , , , , , , and . Remote. Sens., 13 (10): 1954 (2021)Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series., , , and . Remote. Sens., 9 (6): 515 (2017)deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)