Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast-growing Eucalyptus forest plantation using airborne LiDAR data

BACKGROUND: LiDAR remote sensing is a rapidly evolving technology for quantifying a variety of forest attributes, including aboveground carbon (AGC). Pulse density influences the acquisition cost of LiDAR, and grid cell size influences AGC prediction using plot-based methods; however, little work ha...

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Detalles Bibliográficos
Autores principales: Silva, Carlos Alberto, Hudak, Andrew Thomas, Klauberg, Carine, Vierling, Lee Alexandre, Gonzalez-Benecke, Carlos, de Padua Chaves Carvalho, Samuel, Rodriguez, Luiz Carlos Estraviz, Cardil, Adrián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462670/
https://www.ncbi.nlm.nih.gov/pubmed/28593558
http://dx.doi.org/10.1186/s13021-017-0081-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462670/
https://www.ncbi.nlm.nih.gov/pubmed/28593558
http://dx.doi.org/10.1186/s13021-017-0081-1

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