Monitoring immediate post-fire vegetation dynamics of tropical mountain grasslands using phenocameras

Alberton, Bruna; Alvarado, Swanni T.; da Silva Torres, Ricardo; Fernandes, Geraldo Wilson; Morellato, Leonor Patricia C.

doi:10.1016/j.ecoinf.2023.102341

Cited by 2 publications

References 63 publications

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Evaluating Remote Sensing Techniques for Monitoring Grassland Degradation

Herrmann,

Kuplich,

Nascimento

et al. 2024

Preprint

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Ecosystem degradation represents one of the most significant environmental challenges facing the globe. Of particular concern is the impact of grassland degradation on agricultural productivity, species diversity, and soil erosion. This study aimed to compare the applicability of two remote sensing techniques, the Linear Spectral Mixture Model (LSM) and the Grassland Degradation Index (GDI), in assessing and defining the degree of grassland degradation. The results demonstrated that the GDI exhibited superior overall accuracy than LSM, with an accuracy rate of 73.49% as opposed to 63.16% for the LSM. Additionally, the GDI demonstrated a higher F1 score across all evaluated classes, indicating an enhanced capacity to identify true positives and minimise false positives and negatives. Both techniques demonstrated satisfactory performance and can be employed to support restoration and sustainable management studies.

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Evaluating Remote Sensing Techniques for Monitoring Grassland Degradation

Herrmann,

Kuplich,

Nascimento

et al. 2024

Preprint

View full text Add to dashboard Cite

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Spatial analysis of fire sevetiry and its relationship with landscape configuration in savanna areas of Sempre Vivas National Park, Brazil

Salomão,

Fernandes,

Gonzaga

et al. 2024

Rev. Bras. Geog. Fis.

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Fire is a natural disturbance in the Cerrado (Brazilian savanna) but its effects on the landscape are capable of altering its pattern of severity and frequency. Because of that, some areas of the Biome can be in dangerous in the National Park of Sempre Vivas, in Minas Gerais State. Within this context, we spatially analyzed fires in areas of Cerrado during the years 2003 and 2017 according to severity, frequency and the influence of the spatial configuration of the area. We used pre- and post-fire Landsat satellite images to calculate the dNBR index to analyze fire severity per year and used fire metrics to analyze the relationship between fire severity and the spatial configuration of the landscape. Fire-scar severity was considered low, probably due to the density and structure of the typical Cerrado vegetation and the change in annual precipitation. Thus, fires in the Cerrado can be intense and spread quickly if no proper control is implemented.

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Monitoring immediate post-fire vegetation dynamics of tropical mountain grasslands using phenocameras

Cited by 2 publications

References 63 publications

Evaluating Remote Sensing Techniques for Monitoring Grassland Degradation

Evaluating Remote Sensing Techniques for Monitoring Grassland Degradation

Spatial analysis of fire sevetiry and its relationship with landscape configuration in savanna areas of Sempre Vivas National Park, Brazil

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