Aboveground dry biomass modeling with remotely piloted aircraft in Brazilian Savanna: a case study in an experimental area under reduced-impact logging (2005–2021).
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Savanna ecosystems are critical for carbon storage and biodiversity conservation, yet their structural complexity challenges biomass estimation. This study evaluates the applicability of using RGB imagery acquired by a Remotely Piloted Aircraft (RPA), through the Structure for Motion (SfM) approach, to build a statistical model for estimating aboveground dry biomass (AGB) in a cerrado sensu stricto area of the Brazilian Cerrado biome.
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Reduced-impact logging, Teledetección, Vehículos aéreos no tripulados, Drone, Biomasa aérea, Acumulación de materia seca, Sensoriamento Remoto, Modelo Matemático, Biomassa, Matéria Seca, Parte Aérea, Remote sensing, Unmanned aerial vehicles, Mathematical models, Savannas, Aboveground biomass, Dry matter accumulation