TEMPORAL AND SPECTRAL ANALYSIS OF THE MODIS SENSOR IN MONITORING POST-FIRE REGENERATION IN THE CERRADO

Authors

Keywords:

Áreas-Degradadas; Geoprocessamento; Recuperação; Intervenção

Abstract

This study addresses the dynamics of fires and the subsequent vegetation regeneration in the Cerrado biome, focusing on how the frequency of burns affects the ecosystem's resilience and recovery. Using satellite images from the MODIS sensor for a period of 22 years (2001-2023), we evaluated the extent of burned areas, the frequency of fires, and the effectiveness of post-burn vegetation regeneration processes. The analysis reveals that approximately 60% of the total area of the Cerrado was affected by fires, with specific years, such as 2007, 2010, and 2012, showing a high number of burned area fragments. The regeneration analysis, based on the number of fragments and the total burned area, indicates that although the Cerrado's resilience remains high under an 80% regeneration criterion, there is an emerging concern regarding the capacity for complete regeneration, especially considering a threshold of 95%. The results suggest that, despite frequent fires, the Cerrado's regenerative capacity may be diminishing, potentially due to soil nutrient loss after successive burning events. Based on this study, it can be used to develop management strategies and interventions aimed at ensuring the preservation and sustainability of this important biome, highlighting the complexity of facing natural disasters amidst climate changes.

Author Biographies

Jonathan da Rocha Miranda, Instituto Federal de Minas Gerais

Graduated in Agricultural and Environmental Engineering from UFMG, with a master's degree in Water Resources and a PhD in Agricultural Engineering from UFLA. Has experience in satellite image processing for environmental and agricultural monitoring, using machine learning techniques. Additionally, has expertise in remote sensing, geoprocessing, and irrigation management.

Juliana Terezinha Santos Cruz, Universidade Federal do Espírito Santos - Campus Alegre

With a degree in Forestry Engineering from the Federal Institute of Education, Science, and Technology of Minas Gerais (IFMG), this person has stood out in both the academic and professional spheres for their significant contribution to research projects focused on geoprocessing applied to environmental monitoring and the study of wildfires. Throughout their academic career, they developed deep technical and theoretical skills that enabled a comprehensive understanding of forest ecosystems and geographic information technologies.

Luana Kássia Gomes Linhares, Universidade Federal do Espirito Santos - Campus Alegre

Graduated in Forestry Engineering from IFMG - São João Evangelista Campus, my journey includes extensive experience in practical activities and projects. I volunteered at the IFMG Seedling Nursery in 2019 and at the Agroecological Garden Project in 2022. Furthermore, I was involved in geoprocessing research for the distinction of forest fire foci, applying advanced techniques for monitoring and fire prevention, reinforcing my contribution to environmental preservation and sustainable resource management

Gracielle de Brito Salles, Universidade Federal de Minas Gerais

I have a degree in Agricultural and Environmental Engineering and a master's degree in Plant Production from the Federal University of Minas Gerais, in addition to technical courses in Chemistry and Agriculture. My experience encompasses environmental monitoring, restoration of degraded areas, soil studies, environmental assessments, geoprocessing, and water resources management. I have been working with a focus on sustainability and the efficient use of natural resources.

Bruno Oliveira Lafetá, Instituto Federal de Minas Gerais - Campus São João Evangelista

The professor works at IFMG, where he has been Coordinator of technical, technological, and higher education courses. He has taught at the Federal University of Minas Gerais and has a background in Forestry Engineering, with a master's and a PhD in the field. He has experience in Programming, Statistics, Geoprocessing, among others, and works with artificial intelligences such as Neural Networks, Support Vector Machine, and Random Forest

References

ARRUDA, V. L. da S. Mapeamento de cicatrizes de áreas queimadas no Cerrado usando imagens Landsat, Google Earth Engine e Deep Learning. Dissertação (Mestrado em Ciências Florestais)—Universidade de Brasília, Brasília, n. 81, p. 31, 2021.

BATISTA, E. K. L.; RUSSELL-SMITH, J.; FRANÇA, H.; FIGUEIRA, J. E. C. An evaluation of contemporary savanna fire regimes in the Canastra National Park, Brazil: Outcomes of fire suppression policies. Journal of Environmental Management, v. 205, p. 40–49, 2018. DOI: 10.1016/j.jenvman.2017.09.053

CARVALHO, J. X. DE. FOGO NO CERRADO: Causas e Conseqüências da Ação do Fogo no Bioma Cerrado no Município de Goiás. Goiás: Universidade Estadual de Goiás, v. 2009, n. 75, p. 31–47, 2009.

DIDAN, K. MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD13Q1.006 , v. 5, p. 2002–2015, 2015.

FERNANDEZ-MANSO, A.; QUINTANO, C.; ROBERTS, D. A. Burn severity analysis in Mediterranean forests using maximum entropy model trained with EO-1 Hyperion and LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, v. 155, p. 102–118, 2019. DOI: 10.1016/j.isprsjprs.2019.07.003

FIDELIS, A.; ALVARADO, S. T.; BARRADAS, A. C. S.; PIVELLO, V. R. The year 2017: Megafires and management in the cerrado. Fire, v. 1, n. 3, p. 1–11, 2018. DOI: 10.3390/fire1030049

GIGLIO, L.; JUSTICE, C.; BOSCHETTI, L.; ROY, D. MCD64A1 MODIS/Terra+ Aqua Burned Area Monthly l3 Global 500 m sin Grid v006 [Data Set]. 2015. Available online: doi, v. 10, 2015.

GUARIM NETO, G.; MORAIS, R. G. de. Recursos medicinais de espécies do Cerrado de Mato Grosso: um estudo bibliográfico. Acta Botanica Brasilica, v. 17, n. 4, p. 561–584, 2003. DOI: 10.1590/s0102-33062003000400009

HAMADEH, N.; KAROUNI, A.; DAYA, B.; CHAUVET, P. Using correlative data analysis to develop weather index that estimates the risk of forest fires in Lebanon & Mediterranean: Assessment versus prevalent meteorological indices. Case Studies in Fire Safety, v. 7, p. 8–22, 2017. DOI: 10.1016/j.csfs.2016.12.001

JOLLY, W. M.; COCHRANE, M. A.; FREEBORN, P. H.; HOLDEN, Z. A.; BROWN, T. J.; WILLIAMSON, G. J.; BOWMAN, D. M. J. S. Climate-induced variations in global wildfire danger from 1979 to 2013. Nature Communications, v. 6, n. 1, p. 1–11, 2015. DOI: 10.1038/ncomms8537

LEHMANN, C. E. R.; ANDERSON, T. M.; SANKARAN, M.; HIGGINS, S. I.; ARCHIBALD, S.; HOFFMANN, W. A.; HANAN, N. P.; WILLIAMS, R. J.; FENSHAM, R. J.; FELFILI, J.; HUTLEY, L. B.; RATNAM, J.; SAN JOSE, J.; MONTES, R.; FRANKLIN, D.; RUSSELL-SMITH, J.; RYAN, C. M.; DURIGAN, G.; HIERNAUX, P.; HAIDAR, R.; BOWMAN, D. M. J. S.; BOND, W. J. Savanna vegetation-fire-climate relationships differ among continents. Science, v. 343, n. 6170, p. 548–552, 2014. DOI: 10.1126/science.1247355

LENTILE, L. B.; MORGAN, P.; HUDAK, A. T.; BOBBITT, M. J.; LEWIS, S. A.; SMITH, A. M. S.; ROBICHAUD, P. R. Post-Fire Burn Severity and Vegetation Response Following Eight Large Wildfires Across the Western United States. Fire Ecology, v. 3, n. 1, p. 91–108, 2007. DOI: 10.4996/fireecology.0301091

LOPES, S. de F.; VALE, V. S. do; SCHIAVINI, I. Efeito de queimadas sobre a estrutura e composição da comunidade vegetal lenhosa do cerrado sentido restrito em Caldas Novas, GO. Revista Árvore, v. 33, n. 4, p. 695–704, 2009. DOI: 10.1590/s0100-67622009000400012

LOPRESTI, M. F.; DI BELLA, C. M.; DEGIOANNI, A. J. Relationship between MODIS-NDVI data and wheat yield: A case study in Northern Buenos Aires province, Argentina. Information Processing in Agriculture, v. 2, n. 2, p. 73–84, 1 set. 2015. DOI: 10.1016/j.inpa.2015.06.001. Acesso em: 2 abr. 2019.

MAILLARD, O. Post-Fire Natural Regeneration Trends in Bolivia: 2001–2021. Fire, v. 6, n. 1, p. 18, 2023. DOI: 10.3390/fire6010018

MARIANO, D. A. Detecção e Avaliação de Seca Agronômica através da análise de séries temporais de dados MODIS e PERSIANN. Instituto Nacional de Pesquisas Espaciais, p. 112, 2015.

MARINHO-FILHO, J.; JUAREZ, K. M. 14. The Cerrado Mammals: Diversity, Ecology, and Natural History. The Cerrados of Brazil, n. 1942, p. 266–284, 2016. DOI: 10.7312/oliv12042-015

MELO, J. A. Valorização Da Flora Do Cerrado Com. p. 42, 2011.

MENESES, B. M. Vegetation recovery patterns in burned areas assessed with landsat 8 oli imagery and environmental biophysical data. Fire, v. 4, n. 4, p. 76, 2021. DOI: 10.3390/fire4040076

MIRANDA, H. S.; SATO, M. N.; NETO, W. N.; AIRES, F. S. Fires in the cerrado, the Brazilian savanna. Tropical Fire Ecology, p. 427–450, 2009. DOI: 10.1007/978-3-540-77381-8_15

MIRANDA, J. da R.; JUVANHOL, R. S.; DA SILVA, R. G. Use of maximum entropy to improve validation and prediction of active fires in a Brazilian savanna region. Ecological Modelling, v. 475, p. 110219, 2023. DOI: 10.1016/j.ecolmodel.2022.110219

MIRANDA, J. da R.; SILVA, R. G. da; JUVANHOL, R. S. Forest fire action on vegetation from the perspective of trend analysis in future climate change scenarios for a Brazilian savanna region. Ecological Engineering, v. 175, p. 106488, 2022. DOI: 10.1016/j.ecoleng.2021.106488

PACHECO, A. da P.; DA SILVA JUNIOR, J. A. Spatio-temporal analysis of burning areas in the state of maranhão based on modis images and random forest classification. Anuario do Instituto de Geociencias, v. 44, n. 1, p. 1–12, 2021. DOI: 10.11137/1982-3908_2021_44_36119

PEREIRA, A. A.; PEREIRA, J. M. C.; LIBONATI, R.; OOM, D.; SETZER, A. W.; MORELLI, F.; MACHADO-SILVA, F.; DE CARVALHO, L. M. T. Burned area mapping in the Brazilian Savanna using a one-class support vector machine trained by active fires. Remote Sensing, v. 9, n. 11, p. 1161, 2017. DOI: 10.3390/rs9111161

PILAR MARTIN, M.; CHUVIECO, E. Mapping and evaluation of burned land from multitemporal analysis of AVHRR NDVI images. EARSeL, v. 4, n. 3, p. 7–13, 1995.

PIVELLO, V. R. The use of fire in the cerrado and Amazonian rainforests of Brazil: Past and present. Fire Ecology, v. 7, n. 1, p. 24–39, 2011. DOI: 10.4996/fireecology.0701024

PONZONI, F. J.; SHIMABUKURO, Y. E. Sensoriamento remoto no estudo da vegetação. Biologia, v. 16, n. 1, p. 127, 2009. DOI: 10.4025/bolgeogr.v16i1.12157

RIBEIRO, R.; RODRIGUES, F. Genética da conservação em espécies vegetais do cerrado. Revista de Ciências Médicas e Biológicas, v. 5, n. 3, p. 253–260, 2006.

SCHMIDT, I. B.; ELOY, L. Fire regime in the Brazilian Savanna: Recent changes, policy and management. Flora: Morphology, Distribution, Functional Ecology of Plants, v. 268, p. 151613, 2020. DOI: 10.1016/j.flora.2020.151613

VERMOTE, E.; WOLFE, R. MYD09GA MODIS/Aqua Surface Reflectance Daily L2G Global 1kmand 500m SIN Grid V006. NASA EOSDIS Land Processes DAAC, p. 1–35, 2015.

VIANA-SOTO, A.; AGUADO, I.; MARTÍNEZ, S. Assessment of post-fire vegetation recovery using fire severity and geographical data in the mediterranean region (Spain). Environments - MDPI, v. 4, n. 4, p. 1–17, 2017. DOI: 10.3390/environments4040090

Downloads

Published

23/12/2024

How to Cite

Miranda, J. da R., Cruz, J. T. S. ., Linhares, L. K. G. ., Salles, G. de B., & Lafetá, B. O. (2024). TEMPORAL AND SPECTRAL ANALYSIS OF THE MODIS SENSOR IN MONITORING POST-FIRE REGENERATION IN THE CERRADO. REVISTA GEOGRÁFICA ACADÊMICA, 18(2), 5–18. Retrieved from http://revista.ufrr.br/rga/article/view/8125

Issue

Vol. 18 No. 2 (2024): Revista Geográfica Acadêmica

Section

Artigos

License

Copyright (c) 2024 REVISTA GEOGRÁFICA ACADÊMICA

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A RGA é detentora dos direitos autorais publicados, não sendo permitido que o mesmo conteúdo seja publicado em demais periódicos.

Similar Articles

You may also start an advanced similarity search for this article.