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Geospatial Analysis with Landsat Series and Sentinel-3B OLCI Satellites to Assess Changes in Land Use and Water Quality over Time in Brazil

Author

Listed:
  • Leila Dal Moro

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil)

  • Laércio Stolfo Maculan

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil)

  • Dieisson Pivoto

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil)

  • Grace Tibério Cardoso

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil)

  • Diana Pinto

    (Department of Civil and Environmental Engineering, Universidad de la Costa, CUC, Calle 58 # 55–66, Barranquilla 080002, Colombia)

  • Bashir Adelodun

    (Department of Agricultural and Biosystems Engineering, University of Ilorin, PMB 1515, Ilorin 240103, Nigeria
    Department of Agricultural Civil Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Brian William Bodah

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil
    Thaines and Bodah Center for Education and Development, 840 South Meadowlark Lane, Othello, WA 99344, USA
    Yakima Valley College, Workforce Education & Applied Baccalaureate Programs, South 16th Avenue & Nob Hill Boulevard, Yakima, WA 98902, USA)

  • M. Santosh

    (School of Earth Sciences and Resources, China University of Geosciences Beijing, Beijing 100083, China
    Department of Earth Science, University of Adelaide, Adelaide, SA 5005, Australia)

  • Marluse Guedes Bortoluzzi

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil)

  • Elisiane Branco

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil)

  • Alcindo Neckel

    (Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil)

Abstract

Geospatial analyses have gained fundamental importance on a global scale following emphasis on sustainability. Here we geospatially analyze images from Landsat 2/5/7/8 satellites captured during 1975 to 2020 in order to determine changes in land use. Sentinel-3B OLCI (Ocean Land Color Instrument) images obtained in 2019 and 2021 were utilized to assess water resources, based on water turbidity levels (TSM_NN), suspended pollution potential (ADG_443_NN) and the presence of chlorophyll-a (CHL_NN) in order to temporally monitor the effectiveness of Brazilian legislation currently in force. This work on sustainability standards was applied to a hydrographic basin dedicated to agricultural production located in southern Brazil. Satellite images from Landsat 2/5/7/8 (1975 to 2020) and Sentinel-3B OLCI (2019 and 2021) revealed that changes in land use, vegetation cover and water in the Capinguí Dam reservoir detected high concentrations of ADG_443_NN (3830 m −1 ), CHL_NN (20,290 mg m −3 ) and TSM_NN (100 gm −3 ). These results can alert the population to the risks to public health and harm to hydrographic preservation, capable of covering large regions.

Suggested Citation

  • Leila Dal Moro & Laércio Stolfo Maculan & Dieisson Pivoto & Grace Tibério Cardoso & Diana Pinto & Bashir Adelodun & Brian William Bodah & M. Santosh & Marluse Guedes Bortoluzzi & Elisiane Branco & Alc, 2022. "Geospatial Analysis with Landsat Series and Sentinel-3B OLCI Satellites to Assess Changes in Land Use and Water Quality over Time in Brazil," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9733-:d:882664
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    References listed on IDEAS

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    Cited by:

    1. Alcindo Neckel & M. Santosh & Brian William Bodah & Laércio Stolfo Maculan & Diana Pinto & Cleiton Korcelski & Paloma Carollo Toscan & Laura Pasa Cambrussi & Isadora Cezar Caino & Leila Dal Moro & Dir, 2022. "Using the Sentinel-3B Satellite in Geospatial Analysis of Suspended Aerosols in the Kiev, Ukraine Region," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    2. Luis F. O. Silva & Marcos L. S. Oliveira, 2023. "Remote Sensing Studies Applied to the Use of Satellite Images in Global Scale," Sustainability, MDPI, vol. 15(4), pages 1-3, February.

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