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; Alcindo Neckel

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; Alcindo Neckel

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 Capingu&iacute: Dam reservoir detected high concentrations of ADG_443_NN (3830 m&minus:1), CHL_NN (20,290 mg m&minus:3) and TSM_NN (100 gm&minus:3). These results can alert the population to the risks to public health and harm to hydrographic preservation, capable of covering large regions.

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