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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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Large-Area Classification and Mapping of Forest and Land Cover in the Brazilian Amazon: A Comparative Analysis of ALOS/PALSAR and Landsat Data Sources., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 3 (4-2): 594-604 (2010)Initial results from the 2019 NISAR Ecosystem Cal/Val Exercise in the SE USA., , , , and . IGARSS, page 8641-8644. IEEE, (2019)Toward precision forestry: plot-level parameter retrieval for slash pine plantations with JPL AIRSAR., , , and . IEEE Trans. Geosci. Remote. Sens., 41 (7): 1571-1582 (2003)Vegetation height derivation from Shuttle Radar Topography Mission data in southeast Georgia, USA., , , , and . IGARSS, page 4512-4515. IEEE, (2004)Forest parameter retrieval with JPL Airsar P-, L- and C-band data: a plot level analysis for slash pine stands in Georgia., , , , and . IGARSS, page 2066-2068. IEEE, (2002)Toward consistent regional-to-global-scale vegetation characterization using orbital SAR systems., , , and . IEEE Trans. Geosci. Remote. Sens., 36 (5): 1396-1411 (1998)Ecosystem Sciences with NISAR., , , , , , , , , and . IGARSS, page 547-549. IEEE, (2021)Forest biomass inversion from SAR using object oriented image analysis techniques., and . IGARSS, page 3465-3467. IEEE, (2003)A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico., , , , , , and . Remote Sensing, 6 (6): 5559-5588 (2014)Estimation of forest biophysical characteristics in Northern Michigan with SIR-C/X-SAR., , , , , , , , , and 2 other author(s). IEEE Trans. Geosci. Remote. Sens., 33 (4): 877-895 (1995)