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

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 and Alcindo Neckel ()
Additional contact information
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
Brian William Bodah: Faculdade Meridional, IMED, Passo Fundo 99070-220, Brazil
M. Santosh: School of Earth Sciences and Resources, China University of Geosciences Beijing, Beijing 100083, China
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

Sustainability, 2022, vol. 14, issue 15, 1-17

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.

Keywords: landscape metrics; land use change; SDG; food security; remote sensing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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