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MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data.

, , , , , , , , , , , and . Remote. Sens., 6 (5): 3923-3943 (2014)

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Sentinel-1 high resolution soil moisture., , , , , , , , , and 17 other author(s). IGARSS, page 5533-5536. IEEE, (2017)Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring., , , , , , , , , and 3 other author(s). IGARSS, page 5777-5780. IEEE, (2022)Cross-Comparison of Three SAR Soil Moisture Retrieval Algorithms Using Synthetic and Experimental Data., , , , , , , and . IGARSS, page 6123-6126. IEEE, (2018)Sentinel-1 & Sentinel-2 for SOIL Moisture Retrieval at Field Scale., , , , , , , , , and 7 other author(s). IGARSS, page 6143-6146. IEEE, (2018)Analysis of Multi-temporal Land Observation at C-band., , , , , and . IGARSS (3), page 318-321. IEEE, (2009)A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico., , , , , , and . Remote Sensing, 6 (6): 5559-5588 (2014)Mapping Canopy Height and Growing Stock Volume Using Airborne Lidar, ALOS PALSAR and Landsat ETM+., , , and . Remote. Sens., 4 (11): 3320-3345 (2012)Estimation of Forest Above-Ground Biomass with C-Band Scatterometer Backscatter Observations., , and . IGARSS, page 4987-4990. IEEE, (2020)Global Sentinel-1 Insar Coherence: Opportunities for Model-Based Estimation of Land Parameters., , , , , and . IGARSS, page 1133-1136. IEEE, (2022)Model-Based Retrieval of Forest Parameters From Sentinel-1 Coherence and Backscatter Time Series., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2023)