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Accessing the southeastern Brazil 2014 drought severity on the vegetation health by satellite image

Author

Listed:
  • Ana Carolina Campos Gomes

    (São Paulo State University)

  • Nariane Bernardo

    (São Paulo State University)

  • Enner Alcântara

    (São Paulo State University)

Abstract

Droughts are natural events that can cause water scarcity and can consequently have undesired environmental, social and political effects. Because droughts are related to land use and land cover modifications, satellite images are used to monitor and identify drought episodes through indices as Standardized Precipitation Index based on rainfall data and vegetation-based indices as Normalized Difference Vegetation Index (NDVI). Changes in vegetation cover have as impact the increasing of the land surface temperature (LST) that is a significant indicative of drought occurrence. This work explored the NDVI–LST relation through the Vegetation Health Index (VHI) in a tropical environment in Tietê River, State of São Paulo, Brazil, in order to assess changes in vegetation condition in two periods (2000 and 2014). Results showed that stressed areas are coincident with areas presenting high rate of modification in land cover; this areas presented low values of VHI and high values of LST. The worst conditions are verified in 2014, the same period of the most severe drought occurrence that reduced storage capacity in reservoirs in Tietê River.

Suggested Citation

  • Ana Carolina Campos Gomes & Nariane Bernardo & Enner Alcântara, 2017. "Accessing the southeastern Brazil 2014 drought severity on the vegetation health by satellite image," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1401-1420, December.
  • Handle: RePEc:spr:nathaz:v:89:y:2017:i:3:d:10.1007_s11069-017-3029-6
    DOI: 10.1007/s11069-017-3029-6
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    Cited by:

    1. Moreira, Fabrícia de Souza & Lopes, Mariana Padilha Campos & de Freitas, Marcos Aurélio Vasconcelos & Antunes, Adelaide Maria de Souza, 2021. "Future scenarios for the development of the desalination industry in contexts of water scarcity: A Brazilian case study," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Richarde Marques Silva & Celso Augusto Guimarães Santos & Jorge Flávio Cazé Braga Costa Silva & Alexandro Medeiros Silva & Reginaldo Moura Brasil Neto, 2020. "Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 829-849, July.
    3. Glauciene Justino Ferreira da Silva & Nádja Melo Oliveira & Celso Augusto Guimarães Santos & Richarde Marques Silva, 2020. "Spatiotemporal variability of vegetation due to drought dynamics (2012–2017): a case study of the Upper Paraíba River basin, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 939-964, July.
    4. Wu, Bingfang & Ma, Zonghan & Boken, Vijendra K. & Zeng, Hongwei & Shang, Jiali & Igor, Savin & Wang, Jinxia & Yan, Nana, 2022. "Regional differences in the performance of drought mitigation measures in 12 major wheat-growing regions of the world," Agricultural Water Management, Elsevier, vol. 273(C).

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