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Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests.

, , , , and . IEEE Trans. Geosci. Remote. Sens., 48 (10): 3663-3675 (2010)

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Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment., , , and . Remote Sensing, 6 (5): 4240-4265 (2014)An Extension of the Alpha Approximation Method for Soil Moisture Estimation Using Time-Series SAR Data Over Bare Soil Surfaces., , , , , and . IEEE Geosci. Remote. Sens. Lett., 14 (8): 1328-1332 (2017)Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests., , , , and . IEEE Trans. Geosci. Remote. Sens., 48 (10): 3663-3675 (2010)TerraSAR-X Data for Burn Severity Evaluation in Mediterranean Forests on Sloped Terrain., , , and . IEEE Trans. Geosci. Remote. Sens., 48 (2): 917-929 (2010)Airborne forest monitoring during SMAPEx-3 campaign., , , , , , , , and . IGARSS, page 987-990. IEEE, (2013)Investigating the Impact of Digital Elevation Models on Sentinel-1 Backscatter and Coherence Observations., , , , and . Remote. Sens., 12 (18): 3016 (2020)Sentinel-1/2 Time Series for Selective Logging Monitoring in Temperate Forests., , , , , , , , , and 4 other author(s). IGARSS, page 2902-2905. IEEE, (2020)Evaluation of Spectral Indices for Assessing Fire Severity in Australian Temperate Forests., , , and . Remote Sensing, 10 (11): 1680 (2018)Evaluation of IEM, Dubois, and Oh Radar Backscatter Models Using Airborne L-Band SAR., , , and . IEEE Trans. Geosci. Remote. Sens., 52 (8): 4966-4979 (2014)Deep Neural Networks for Forest Growing Stock Volume Retrieval: A Comparative Analysis for L-band SAR data., , , , , and . IGARSS, page 4975-4978. IEEE, (2020)