| Texto completo | |
| Autor(es): |
de Almeida, Catherine Torres
;
Galvao, Lenio Soares
;
Ometto, Jean Pierre H. B.
;
Jacon, Aline Daniele
;
Pereira, Francisca Rocha de Souza
;
Sato, Luciane Yumie
;
Silva-Junior, Celso Henrique Leite
;
Brancalion, Pedro H. S.
;
de Aragao, Luiz Eduardo Oliveira e Cruz
Número total de Autores: 9
|
| Tipo de documento: | Artigo Científico |
| Fonte: | REMOTE SENSING; v. 16, n. 21, p. 26-pg., 2024-11-01. |
| Resumo | |
Integrating Light Detection And Ranging (LiDAR) and Hyperspectral Imaging (HSI) enhances the assessment of tropical forest degradation and regeneration, which is crucial for conservation and climate mitigation strategies. This study optimized procedures using combined airborne LiDAR, HSI data, and machine learning algorithms across 12 sites in the Brazilian Amazon, covering various environmental and anthropogenic conditions. Four forest classes (undisturbed, degraded, and two stages of second-growth) were identified using Landsat time series (1984-2017) and auxiliary data. Metrics from 600 samples were analyzed with three classifiers: Random Forest, Stochastic Gradient Boosting, and Support Vector Machine. The combination of LiDAR and HSI data improved classification accuracy by up to 12% compared with single data sources. The most decisive metrics were LiDAR-based upper canopy cover and HSI-based absorption bands in the near-infrared and shortwave infrared. LiDAR produced significantly fewer errors for discriminating second-growth from old-growth forests, while HSI had better performance to discriminate degraded from undisturbed forests. HSI-only models performed similarly to LiDAR-only models (mean F1 of about 75% for both data sources). The results highlight the potential of integrating LiDAR and HSI data to improve our understanding of forest dynamics in the context of nature-based solutions to mitigate climate change impacts. (AU) | |
| Processo FAPESP: | 20/06734-0 - Desvendando os determinantes de paisagem da recuperação de florestas por meio de uma perspectiva sucessional |
| Beneficiário: | Catherine Torres de Almeida |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 17/22269-2 - Transição para sustentabilidade e o nexo água-agricultura-energia: explorando uma abordagem integradora com casos de estudo nos biomas Cerrado e Caatinga |
| Beneficiário: | Jean Pierre Henry Balbaud Ometto |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático |
| Processo FAPESP: | 18/15001-6 - ARBOLES: um entendimento da biodiversidade e resiliência das florestas LATAM baseado em características funcionais |
| Beneficiário: | Luiz Eduardo Oliveira e Cruz de Aragão |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 18/18416-2 - Compreendendo florestas restauradas para o benefício das pessoas e da natureza - NewFor |
| Beneficiário: | Pedro Henrique Santin Brancalion |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa BIOTA - Temático |