Mapeamento e Análise Multitemporal de Eventos de Queimada no Bioma Pantanal a partir do Índice ∆NBR
Resumo
A ocorrência de queimadas resulta em perda significativa de biodiversidade, causando alterações na cadeia trófica e perturbação em processos ecossistêmicos e ciclo do carbono [3]. [...]Downloads
Referências
R. G. Congalton e K. Green. Assessing the Accuracy of Remotely Sensed Data. principles and practices. Boca Raton: CRC Press, 2009, p. 183. isbn: 978-1-4200-5512-2.
B. C. Gao. “NDWI — A normalized difference water index for remote sensing of vegetation liquid water from space”. Em: Remote Sensing of Environment 58.3 (1996), pp. 257–266. doi: https://doi.org/10.1016/S0034-4257(96)00067-3.
I. Z Gitas, G. H Mitri e G. Ventura. “Object-based image classification for burned area mapping of Creus Cape, Spain, using NOAA-AVHRR imagery”. Em: Remote Sensing of Environment 92.3 (2004), pp. 409–413. doi: https://doi.org/10.1016/j.rse.2004.06.006.
W. S. Noble. “What is a support vector machine?” Em: Nature biotechnology 24.12 (2006), pp. 1565–1567. doi: https://doi.org/10.1038/nbt1206-1565.
C. M Souza et al. “Reconstructing three decades of land use and land cover changes in brazilian biomes with landsat archive and earth engine”. Em: Remote Sensing 12.17 (2020), p. 2735. doi: https://doi.org/10.3390/rs12172735.