Identification of invasive trees in a Brazilian subtropical forest using remotely piloted aircraft systems and machine learning-Reference-Cited by-同舟云学术

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Identification of invasive trees in a Brazilian subtropical forest using remotely piloted aircraft systems and machine learning

Published:2023-09-28 Issue:03 Volume:17 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

da Silva Sally Deborah Pereira¹,Eugenio Fernando Coelho²,Fantinel Roberta Aparecida¹,Amaral Lucio de Paula¹,Mallmann Caroline Lorenci³,dos Santos Fernanda Dias⁴,dos Santos Alexandre Rosa⁵,Pereira Rudiney Soares¹

Affiliation:

1. Federal University of Santa Maria, Cidade Universitária, Forest Engineering Postgraduate Program, Santa Maria, Brazil

2. Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Brazil

3. Federal University of Santa Maria, Cidade Universitária, Geography and Geosciences Postgraduate Program, Santa Maria, Brazil

4. Federal University of Santa Maria, Civil Engineering Department, Santa Maria, Brazil

5. Federal University of Espírito Santo, Jerônimo Monteiro, Brazil

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference85 articles.

1. Brazilian Atlantic Forest lato sensu: the most ancient Brazilian forest, and a biodiversity hotspot, is highly threatened by climate change

2. Mapeamento Anual de Cobertura e Uso da Terra na Mata Atlântica - Coleção 7,2022

3. Unidades de Conservação: O Que São

4. Distribution of invasive alien species in Brazilian ecoregions and protected areas;Dechoum,2021

5. Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics

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