Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast
DOI:
https://doi.org/10.33448/rsd-v11i4.27890Keywords:
Global Vegetation Health; Advanced Very High-Resolution Radiometer; Bahia; Ceará.Abstract
In the past few decades, droughts have increased along with the globe, including in Brazil, and such episodes occur with greater severity in the Brazilian Northeast (NEB). Consequently, these droughts trigger environmental, socio-economic, and regional problems. This work assessed the behavior of these events from Vegetation Health Index (VHI) on the NEB. This analysis will be carried out from the Global Vegetation Health (GVH) data, based on the satellite records via Advanced Very High-Resolution Radiometer (AVHRR) sensor, made available by National Oceanographic and Atmospheric Administration (NOAA). These data have temporal resolution on a weekly scale during the years 1982-2019, to which they were converted to annual composites, while the spatial resolution is 4km x 4km. A prior analysis was realized and selected 1983, 1993, 1998 (three episodes of El Niño), and 2012 (anomalous episode of La Niña), based on the Oceanic Niño Index (ONI). The results obtained from the annual VHI behavior pointed out significant spatial differences, with the classes referring to severe drought (annual VHI between 0-6%) and extreme (annual VHI between 6-12%) detected in the states of Ceará, Piauí, and Rio Grande do Norte during the years 1983, 1993 and 2012. The year 2012 was the most severe among the years analyzed, with the highest percentage of the class regarding extreme and severe drought with the values of 0.5% and 5.5% of the total area of the NEB, respectively, mainly in the central region of Bahia. The drought initiated during the La Niña of 2012 lasted until 2017 caused a devastating effect on the NEB, causing substantial variability in the rainfall totals, culminating in enormous socio-environmental and economic damage.
References
Andrade, M. M., & Lima, K. C. (2013) Projeção climática da Frequência de eventos de precipitação intensa no Nordeste do Brasil: resultados preliminares. Revista Brasileira de Geografia Física, 6 (5), 1158-1173.
Araújo, P. H. C., Féres, J., Reis, E., & Braga, M. J. (2013) Eventos climáticos extremos: efeitos dos fenômenos el niño e la niña sobre a produtividade agrícola. In: Boueri, R.; Costa, M. A. (Eds.). Brasil em desenvolvimento: estado, planejamento e políticas públicas. Brasília: Instituto de Pesquisa Econômica Aplicada (Ipea), v. 3.
Bastianin, A., Lanza, A., & Manera, M. (2018) Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market. Agric. Econ., 49, 623–633. https://doi.org/10.1111/agec.12447
Bento, V. A., Gouveia, C. M., Dacamara, C. C., & Trigo, I. F. (2018) A climatological assessment of drought impact on vegetation health index. Agricultural and forest meteorology, 259, 286-295. https://doi.org/10.1016/j.agrformet.2018.05.014
Carmo, M. V. N. S. D., & Lima, C. H. R. (2020) Caracterização Espaço-Temporal das Secas no Nordeste a partir da Análise do índice SPI. Revista Brasileira de Meteorologia, 35, 233-242.
Correia Filho, W. L. F., Alves, L. E. R., & dos Santos, M. N. (2017) Caracterização de extremos Anuais de precipitação para o estado de Sergipe. Revista de Geografia (Recife), 34 (1), 49-70.
Correia Filho, W. L. F., Santos, T. V., Diogo, A. M., & Amorim, R. F. C. (2018) Diagnóstico da Precipitação e EVI em Dois Eventos de Seca no Nordeste do Brasil. Revista do Departamento de Geografia, 35, 102-112. https://doi.org/10.11606/rdg.v35i0.140068
Correia Filho, W. L. F., Oliveira-Júnior, J. F., Santiago, D. B., Terassi, P. M. B., Teodoro, P. E., Gois, G., Blanco, C. J. C., Souza, P. H. A., Costa, M., & Santos, P. J. (2019) Rainfall variability in the Brazilian northeast biomes and their interactions with meteorological systems and ENSO via CHELSA product. Big Earth Data, 3, 315-337. https://doi.org/10.1080/20964471.2019.1692298
Correia Filho, W. L. F., de Oliveira‐Júnior, J. F., da Silva Junior, C. A., & Santiago, D. B. (2021) Influence of the El Niño–Southern Oscillation and the sypnotic systems on the rainfall variability over the Brazilian Cerrado via Climate Hazard Group InfraRed Precipitation with Station data. International Journal of Climatology. https://doi.org/10.1002/joc.7417
Costa, M. D. S., Oliveira‐Júnior, J. F. D., Santos, P. J. D., Correia Filho, W. L. F., Gois, G. D., Blanco, C. J. C., Teodoro, P. E., Silva Junior, C. A., Santiago, D. de B., Souza, E. O., & Jardim, A. M. D. R. F. (2021) Rainfall extremes and drought in Northeast Brazil and its relationship with El Niño–Southern Oscillation. International Journal of Climatology, 41, E2111-E2135. https://doi.org/10.1002/joc.6835
De Nys, E., Engle, N. L., & Magalhães, A. R. (2016) Secas no Brasil: política e gestão proativas. Brasília, DF: Centro de Gestão e Estudos Estratégicos-CGEE, v. 292.
Huang, B., Banzon, V. F., Freeman, E., Lawrimore, J., Liu, W., Peterson, T. C., Smith, T. M., Thorne, P. W., Woodruff, S. D., & Zhang, H. M. (2015) Extended reconstructed sea surface temperature version 4 (ERSST v4). Part I: Upgrades and intercomparisons. Journal of Climate, 28, 911-930. https://doi.org/10.1175/JCLI-D-14-00006.1
IBGE – Instituto Brasileiro de Geografia e Estatística. (2021) Censo. http://www.ibge.gov.br.
Karnieli, A., Agam, N., Pinker, R. T. M., Anderson, M., Imhoff, M. L., Gutman, G. G., Panov, N., & Goldberg, A. (2010) Use of NDVI and land surface temperature for drought assessment: merits and limitations. J. Clim. Am. Meteorol. Soc., 24, 618–633. https://doi.org/10.1175/2009JCLI2900.1
Kogan, F. N. (1995a) Application of vegetation index and brightness temperature for drought detection. Adv. Space Res., 15, 91–100. https://doi.org/10.1016/0273-1177(95)00079-T
Kogan, F. N. (1995b) Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data. Bull. Am. Meteorol. Soc., 76 (5), 655-668. https://doi.org/10.1175/1520-0477(1995)076<0655:DOTLIT>2.0.CO;2
Kogan F. N. (1997) Global drought watch from space. Bull. Am. Meteorol. Soc., 78, 621–636. https://doi.org/10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2
Kogan, F. N. (2001) Operational space technology for global vegetation assessment. Bull. Am. Meteorol. Soc., 82, 19491964. https://doi.org/10.1175/1520-0477(2001)082<1949:OSTFGV>2.3.CO;2
Kogan, F., Guo, W., & Jelenak, A. (2011) Global Vegetation Health: Long-Term Data Records. In: Kogan F., Powell A., Fedorov O. (eds). Use of Satellite and In-Situ Data to Improve Sustainability. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9618-0_28
Lima, J. R., & Magalhães, A. R. (2019) Secas no Nordeste: registros históricos das catástrofes econômicas e humanas do século 16 ao século 21. Parcerias Estratégicas, 23(46), 191-212, 2019.
Lyra, G. B., Oliveira-Júnior, J. F., & Zeri, M. (2014). Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Alagoas state, Northeast of Brazil. International Journal of Climatology, 34, 3546-3558. https://doi.org/10.1002/joc.3926
Marengo, J. A., Alves, L. M., Beserra, E., & Lacerda, F. (2011). Variabilidade e mudanças climáticas no semiárido brasileiro. In: Salomão de Sousa Medeiros, Hans Raj Gheyi, Carlos de Oliveira Galvão, Vital Pedro da Silva Paz. (Org.). Recursos Hidricos e, Regiões Aridas e Semi Aridas. INSA, p. 383-416.
Marengo, J.A., Torres, R. R., & Alves, L.M. (2016b) Drought in Northeast Brazil - Past, present, and future. Theor. Appl. Climatol., 129(3-4), 1189-1200.
Marengo, J. A., Alves, L. M., Alvalá, R. C., Cunha, A. P., Brito, S. S., & Moraes, O. L. L. (2018) Climatic characteristics of the 2010-2016 drought in the semiarid Northeast Brazil region, Anais da Academia Brasileira de Ciências, 90 (2), 1973-1985. https://doi.org/10.1590/0001-3765201720170206
Melo, J. C. (1999). O fenômeno El Niño e as secas no Nordeste do Brasil. Raízes, 20, 13-21. https://doi.org/10.37370/raizes.1999.v.162
Moreira Filho, J. de C., Galinho Filho, O. T., & Duarte, R. S. (2002). A seca de 1993: Crônica de um flagelo anunciado. Fortaleza: Banco do Nordeste; Recife: Fundação Joaquim Nabuco, v. 4, 138p.
NOAA STAR Center. (2021) STAR - Global Vegetation Health Products. https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/vh_browseVH.php
Nobre, P., & Shukla, J. (1996) Variations of sea surface temperature, wind stress, and rainfall over the tropical Atlantic and South America. Journal of Climate, 9, 2464–2479. https://doi.org/10.1175/1520-0442(1996)009<2464:VOSSTW>2.0.CO;2
Pessoa, D. M, Cavalcanti, C. V. (2002). Caráter e efeitos da seca nordestina de 1970. Fortaleza: Banco do Nordeste; Recife: Fundação Joaquim Nabuco, 301 p.
Santiago, D. B., Correia Filho, W. L. F., Oliveira-Júnior, J. F., Lyra, M., & Vila Nova, T. S. (2020). Comportamento da Saúde Vegetativa do Cerrado Nordestino Brasileiro. Meteorologia e Recursos Naturais: Estudos Aplicados. Campina Grande: EDUFCG, 247-255.
Xavier, T. M. B. S. (2001). Tempo de Chuva - Estudos Climáticos e de Previsão para o Ceará e Nordeste Setentrional, Fortaleza: ABC Editora, 478p. Cap. 3, 6-11.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Carla Taciane Brasil dos Santos; Washington Luiz Félix Correia Filho; José Francisco de Oliveira-Júnior; Dimas de Barros Santiago; Bárbara Alves Batista
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.