USE OF REMOTE SENSING AND DATA FROM THE MAPBIOMAS PROJECT TO ANALYZE DEFORESTATION IN THE CITY OF RIO LARGO/AL
USO DE SENSORIAMENTO REMOTO

Keywords

geoprocessamento
mapbiomas
impactos ambientais

How to Cite

dos Santos Verçosa, J. P. ., Carolyne Carneiro Alves Santos, S. ., Sárgia Mousinho Lucena Cavalcanti Silva, S. ., Sthefany Conceição da Silva, L. ., Oliveira Souza, M. ., & Costa Falcão Tavares, A. . (2021). USE OF REMOTE SENSING AND DATA FROM THE MAPBIOMAS PROJECT TO ANALYZE DEFORESTATION IN THE CITY OF RIO LARGO/AL. Advanced Studies on Health and Nature, 1. Retrieved from https://periodicojs.editoraperiodicojs.com.br/index.php/easn/article/view/321

Abstract

INTRODUCTION The contestation related to environmental issues has been highlighted in recent years in the relevance of the certification of environmental crises experienced on a global scale, resulting from the exploitation of the ecosystem. OBJECTIVE This paper applied geoprocessing technics to analyze areas of the Atlantic Forest region, using INCRA map, along with old aerial photos and Mapbiomas data. The study area is located in Rio Largo / AL, METHODOLOGY and the materials used were Photoshop, QGIS, Google Earth Engine and Libreofice. RESULT It was observed that in 1970 Rio Largo had a forest area of ​​9158.70 ha, 3548.18 ha in 1985, 3481.66 ha in 2000 and 3686.28 ha in 2018. The most critical period was between 1970 and 1985, in which decreased 61.26% of the forest area, as well as its importance and positive environmental influence for the city of Rio Largo / AL. To assess the environmental impact of the removal of the Atlantic Forest from Rio Largo, we calculated the extensions of the hydrographic network of the municipality that was unprotected, ie without Permanent Protection Area (APP). Between 1970 and 1985, 20.83 km of unprotected river network was observed, a decrease to 4.08 km (1985-2000) and an increase to 4.86 km between 2000 and 2018. CONCLUSION Geoprocessing and remote sensing data make it possible analysis of the environmental impact of the removal of forests. New works developed may expand the georeferenced database.

USO DE SENSORIAMENTO REMOTO

References

ALMEIDA, A. C. S; SOUZA, J. L; TEODORO, I; BARBOSA, G. V. S; FILHO, G. M; JÚNIOR, R. A. F. Desenvolvimento vegetativo e produção de variedades de cana-de-açúcar em relação à disponibilidade hídrica e unidades térmicas. Ciência e Agrotecnologia, v. 32, n. 5, p. 1441-1448, 2008.

AMARAL F.; SOUZA L.; SOARES P.; SOARES B. P.; LEITE G.; MARTINS V.; FERNANDES I.; LANA M. Avaliação e comparação de métodos de classificação de imagens de satélites para o mapeamento de estádios de sucessão florestal. Revista árvore, Viçosa, v. 33, n. 3, 2009.

CRUZ; S.C.S., PEREIRA, F.R.S.; SANTOS, J.R.; ALBUQUERQUE, A.W.; PEREIRA, R.G. (2008) Adubação nitrogenada para o milho cultivado em sistema plantio direto, no Estado de Alagoas. Revista Brasileira de Engenharia Agrícola e Ambiental, 12:62-68.

GIRI, C. L. J.; ABBAS, S. MURALI, R.M.; QAMER, F.M. 2014. Distribution and dynamics of mangrove forests of South Asia. Journal of Environmental Management.

BRITO N.; SILVA B. E. Análise multitemporal de uso e cobertura da terra na Reserva da Biosfera do Cerrado. Ateliê Geográfico, Goiânia – GO, v. 13, n. 2, 2019.

COSTA P.; SANTOS J. J.; CHAVES M.; ROCHA F.; VASCONCELOS N. Novas tecnologias e sensoriamento remoto: aplicação de uma oficina didática para a disseminação das potencialidades dos produtos e ferramentas do MapBiomas. Feira de Santana, v. 6, n. 3, 2018.

HOROWITZ, F. G. 2015. Modis daily land surface temperature estimates in google earth engine as an aid in geothermal energy siting. Melbourne – Australia: Proceedings World Geothermal Congress.

MENESES, P. R.; ALMEIDA, T. 2012. Introdução ao Processamento de Imagens de Sensoriamento Remoto. Brasília: UNB, p. 01-33.
ROSA R. M. Comparação e análise de diferentes metodologias de mapeamento da cobertura florestal da Mata Atlântica. Boletim paulista de geografia. São Paulo, Brasil, n. 95, 2016.

SOUZA CM JR., Z. SHIMBO J, ROSA MR, PARENTE LL, A. ALENCAR A, RUDORFF BFT, HASENACK H, MATSUMOTO M, G. FERREIRA L, SOUZA-FILHO PWM, DE OLIVEIRA SW, ROCHA WF, FONSECA AV, MARQUES CB, DINIZ CG, COSTA D, MONTEIRO D, ROSA ER, VÉLEZ-MARTIN E, WEBER EJ, LENTI FEB, PATERNOST FF, PAREYN FGC, SIQUEIRA JV, VIERA JL, NETO LCF, SARAIVA MM, SALES MH, SALGADO MPG, VASCONCELOS R, GALANO S, MESQUITA VV, AZEVEDO T. Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine. Remote Sensing. 2020; 12(17):2735. https://doi.org/10.3390/rs12172735

SILVA G. L; MENDONÇA F.; SILVA R. M.; FRANCELINO R. Atlantic Forest scenarios under the parameters of forestry laws. Editora UFLA, v. 42, n. 1, 2018.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...