Título:	Aboveground dry biomass modeling with remotely piloted aircraft in Brazilian Savanna: a case study in an experimental area under reduced-impact logging (2005–2021).
Autor:	ALENCAR, P. A. L. de REZENDE, A. V. OLIVEIRA, M. V. N. d' MIGUEL, E. P. SOUZA, H. J. de QUEIROZ, R. F. P. de
Afiliación:	PAOLA AIRES LÓCIO DE ALENCAR, UNIVEERSIDADE DE BRASÍLIA; ALBA VALÉRIA REZENDE, UNIVERSIDADE DE BRASÍLIA; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; EDER PEREIRA MIGUEL, UNIVERSIDADE DE BRASÍLIA; HALLEFY JUNIO DE SOUZA, UNIVERSIDADE DE BRASÍLIA; ROBERTA FRANCO PEREIRA DE QUEIROZ, UNIVERSIDADE DE BRASÍLIA.
Año:	2025
Referencia:	Remote Sensing Applications: Society and Environment, v. 40, article 101774, Nov. 2025.
Descripción:	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.
Thesagro:	Sensoriamento Remoto Modelo Matemático Biomassa Matéria Seca Parte Aérea
NAL Thesaurus:	Remote sensing Unmanned aerial vehicles Mathematical models Savannas Aboveground biomass Dry matter accumulation
Palabras clave:	Reduced-impact logging Teledetección Vehículos aéreos no tripulados Drone Biomasa aérea Acumulación de materia seca
ISSN:	2352-9385
DOI:	https://doi.org/10.1016/j.rsase.2025.101774
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CPAF-AC)