| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34P/3LKJJRH | |||
| Repositório | sid.inpe.br/mtc-m21b/2016/05.03.17.49 (acesso restrito) | |||
| Última Atualização | 2016:07.04.18.03.09 (UTC) simone | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21b/2016/05.03.17.49.58 | |||
| Última Atualização dos Metadados | 2018:06.04.02.40.46 (UTC) administrator | |||
| DOI | 10.1016/j.rse.2016.03.021 | |||
| ISSN | 0034-4257 | |||
| Chave de Citação | FerreiraZorZanShiSou:2016:MaTrSp | |||
| Título | Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data  | |||
| Ano | 2016 | |||
| Mês | Jun. | |||
| Data de Acesso | 10 maio 2024 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 2232 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Ferreira, Matheus Pinheiro 2 Zortea, Maciel 3 Zanotta, Daniel Capella 4 Shimabukuro, Yosio Edemir 5 Souza Filho, Carlos Roberto de | |||
| Identificador de Curriculo | 1 2 3 4 8JMKD3MGP5W/3C9JJCQ | |||
| Grupo | 1 SER-SRE-SPG-INPE-MCTI-GOV-BR 2 3 4 DSR-OBT-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Institute of Informatics, Federal University of Rio Grande do Sul, Av. Bento Gonçalves 9500, Porto Alegre, RS, Brazil 3 National Institute for Science, Education and Technology, R. Eng. Alfredo Huch 475, Rio Grande, RS, Brazil 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Universidade Estadual de Campinas, Institute of Geosciences, Campinas, Brazil | |||
| Endereço de e-Mail do Autor | 1 pferreira.matheus@gmail.com 2 mzortea@gmail.com 3 daniel.zanotta@riogrande.ifrs.edu.br 4 yosio@dsr.inpe.br 5 beto@ige.unicamp.br | |||
| Revista | Remote Sensing of Environment | |||
| Volume | 179 | |||
| Número | 66 | |||
| Páginas | 66-78 | |||
| Nota Secundária | A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE | |||
| Histórico (UTC) | 2016-05-03 17:49:58 :: simone -> administrator :: 2016-07-04 12:30:01 :: administrator -> simone :: 2016 2016-09-09 19:10:49 :: simone -> administrator :: 2016 2018-06-04 02:40:46 :: administrator -> simone :: 2016 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Palavras-Chave | Brazilian Atlantic Forest Classification Imaging spectroscopy Individual tree crowns WorldView-3 | |||
| Resumo | Accurately mapping the spatial distribution of tree species in tropical environments provides valuable insights for ecologists and forest managers. This process may play an important role in reducing fieldwork costs, monitoring changes in canopy biodiversity, and locating parent trees to collect seeds for forest restoration efforts. However, mapping tree species in tropical forests with remote sensing data is a challenge because of high floristic and spectral diversity. In this research, we discriminated and mapped tree species in tropical seasonal semi-deciduous forests (Brazilian Atlantic Forest Biome) by using airborne hyperspectral and simulated multispectral data in the 450 to 2400 nm wavelength range. After quantifying the spectral variability within and among individual tree crowns of eight species, three supervised machine learning classifiers were applied to discriminate the species at the pixel level. Linear Discriminant Analysis outperformed Support Vector Machines with Linear and Radial Basis Function (RBF-SVMs) kernels and Random Forests in almost all the tested cases. An average classification accuracy of 70% was obtained when using the visible/near-infrared (VNIR, 450-919 nm) bands. The inclusion of shortwave infrared bands (SWIR, 1045-2400 nm) increased the accuracy to 84%. Narrow-band vegetation indices (VIs) were also tested and increased the classification accuracy by up to 5% when combined with VNIR features. Furthermore, the spectral bands of the WorldView-3 (WV-3) satellite sensor were simulated for classification purposes. WV-3 VNIR bands provided an accuracy of 57.4%, which increased to 74.8% when using WV-3 SWIR bands. We also tested the production of species maps by using an object-oriented approach that integrated a novel segmentation algorithm that was tailored to delineate tree crowns and label high class membership pixels inside each object. In this scenario, RBF-SVMs produced the best species maps, correctly identifying 84.9% of crowns with hyperspectral data and 78.5% with simulated WV-3 data. The use of a reduced set of hyperspectral bands, which were selected with stepwise regression, did not significantly affect the classification accuracies but allowed us to depict the most important wavelengths to discriminate the species. These wavelengths were located around the green reflectance peak (550 nm), at the red absorption feature (650 nm) and in the SWIR range at 1200, 1700, 2100 and 2300 nm. These encouraging results suggest the feasibility of the proposed approach for mapping pioneering and climax tree species in the Brazilian Atlantic Forest Biome, highlighting its potential use in forest recovery and inventory initiatives. | |||
| Área | SRE | |||
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping tree species... | |||
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mapping tree species... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | en | |||
| Arquivo Alvo | 1_ferreira_mapping.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Política de Arquivamento | denypublisher allowfinaldraft24 | |||
| Permissão de Leitura | deny from all and allow from 150.163 | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Repositório Espelho | urlib.net/www/2011/03.29.20.55 | |||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S | |||
| Lista de Itens Citando | sid.inpe.br/bibdigital/2013/09.13.21.11 2 sid.inpe.br/bibdigital/2013/10.18.22.34 1 | |||
| Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Acervo Hospedeiro | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||