Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring

Autor: M. V. N. d' Oliveira, Danilo Roberti Alves de Almeida, Evandro Orfanó Figueiredo, Luiz Carlos Estraviz Rodriguez, Ruben Valbuena, Scott C. Stark, Daniel de Almeida Papa, Carlos A. Silva

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

In high biodiversity areas, such as the Amazon, forest inventory is a challenge due to large variations in vegetation structure and inaccessibility. Capturing the full gradient of variability requires the acquisition of a large number of sample plots

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3990cafd7c25d37aadf15e15b32969b4
https://doi.org/10.1016/j.foreco.2019.117634