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Palabras clave – provistas por la editorial

NDLMA; n/a; multi-angle remote sensing; TerraSAR-X; above ground biomass; stem volume; regression analysis; ground-based remote sensing; sensor fusion; pasture biomass; grazing management; livestock; mixed forest; SPLSR; estimation accuracy; Bidirectional Reflectance Distribution Factor; forage crops; Land Surface Phenology; climate change; vegetation index; dry biomass; mapping; rangeland productivity; vegetation indices; error analysis; broadleaves; remote sensing; applicability evaluation; ultrasonic sensor; chlorophyll index; alpine meadow grassland; forest biomass; anthropogenic disturbance; fractional vegetation cover; alpine grassland conservation; carbon mitigation; conifer; short grass; grazing exclusion; MODIS time series; random forest; aboveground biomass; NDVI; AquaCrop model; inversion model; wetlands; field spectrometry; spectral index; yield; foliage projective cover; lidar; correlation coefficient; Sahel; biomass; dry matter index; Niger; Landsat; grass biomass; particle swarm optimization; winter wheat; carbon inventory; rice; forest structure information; MODIS; light detection and ranging (LiDAR); ALOS2; ecological policies; above-ground biomass; Wambiana grazing trial; food security; forest above ground biomass (AGB); Atriplex nummularia; regional sustainability; CIRed-edge