Análise da disponibilidade de imagens Landsat e Sentinel para o Brasil

Mas, Jean-François; Sopchaki, Carlos Henrique; Rabelo, Francisco Davy Braz; Araújo, Francisca Soares de; Solórzano, Jonathan V.

doi:10.5902/2236499461324

Cited by 2 publications

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References 28 publications

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“…It is worth noting that in the range 0 • -10 • south latitude, especially in the summer and autumn, there is a high rainfall and high clouds presence [21]. In a previous study, we assessed the availability of Landsat images during the period 1984-2019 and found that the number of valid data was low in some Brazilian biomes such Amazonia (tropical rain forests) and Caatinga (mosaic deciduous woody formations) due to clouds presence [22].…”

Section: Introductionmentioning

confidence: 99%

Assessing Landsat Images Availability and Its Effects on Phenological Metrics

Mas

Araújo

2021

Forests

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Landsat imagery offers the most extended continuous land surface observation at 30 m spatial resolution and is widely used in land change studies. On the other hand, the recent developments on big data, such as cloud computing, give new opportunities for carrying out satellite-based continuous land cover monitoring including land use/cover change and more subtle changes as forest degradation, agriculture intensification and vegetation phenological patterns alterations. However, in the range 0–10∘ south latitude, especially in the summer and autumn, there is a high rainfall and high clouds presence. We hypothesise that it will be challenging to characterise vegetation phenology in regions where the number of valid (cloud-free) remotely-sensed observation is low or when the observations are unevenly distributed over the year. This paper aims to evaluate whether there is sufficient availability of Landsat 7 and 8 images over Brazil to support the analysis of phenodynamics of vegetation. We used Google Earth Engine to assess Landsat data availability during the last decades over the Brazilian territory. The valid observations (excluding clouds and shadow areas) from Landsat 4/5/7/8 during the period 1984–2017 were determined at pixel level. The results show a lower intensity of Landsat observations in the northern and northeastern parts of Brazil compared to the southern region, mainly due to clouds’ presence. Taking advantage of the overlapping areas between satellite paths where the number of observations is larger, we modelled the loss of information caused by a lower number of valid (cloud free) observations. We showed that, in the deciduous woody formations of the Caatinga dominium, the scarcity of valid observations has an adverse effect on indices’ performance aimed at describing vegetation phenology. However, the combination of Landsat data with satellite constellation such as Sentinel will likely permit to overcome many of these limitations.

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Section: Introductionmentioning

confidence: 99%

Assessing Landsat Images Availability and Its Effects on Phenological Metrics

Mas

Araújo

2021

Forests

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“…Destaca-se que esta coleção é a mais recomendada para análises de séries temporais (MAS et al, 2020). As variações causadas pela fenologia ou mudanças na geometria solar, são minimizadas pelas correções de reflectância e sombra de nuvem.…”

Section: Histórico Do Comportamento Espectral Da Vegetaçãounclassified

Uso do histórico, presente e contexto da paisagem na discriminação de florestas jovens em restauração ativa e regeneração natural

Aguiar¹

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Uso do histórico, presente e contexto da paisagem na discriminação de florestas jovens em restauração ativa e regeneração natural / Nathalia Virginia Veloso Aguiar. --versão revisada de acordo com a Resolução CoPGr 6018 de 2011. --Piracicaba, 2022. 84 p. Dissertação (Mestrado) --USP / Escola Superior de Agricultura "Luiz de Queiroz". 1. Novas florestas 2. Regeneração natural 3. Restauração ativa 4. Contexto da paisagem 5. Comportamento espectral I. Título AGRADECIMENTOS À Deus Á minha família pelo suporte em todos os momentos, principalmente os meus pais Silvio Magalhães de Aguiar e Maria Lucia Veloso Aguiar pelo cuidado, suporte, incentivo principalmente nos momentos de maior dificuldade.

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Análise da disponibilidade de imagens Landsat e Sentinel para o Brasil

Cited by 2 publications

References 28 publications

Assessing Landsat Images Availability and Its Effects on Phenological Metrics

Assessing Landsat Images Availability and Its Effects on Phenological Metrics

Uso do histórico, presente e contexto da paisagem na discriminação de florestas jovens em restauração ativa e regeneração natural

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