Geospatial Analysis with Landsat Series and Sentinel-3B OLCI Satellites to Assess Changes in Land Use and Water Quality over Time in Brazil
| dc.contributor.author | Adelodun, Bashir | |
| dc.date.accessioned | 2024-05-17T08:18:21Z | |
| dc.date.available | 2024-05-17T08:18:21Z | |
| dc.date.issued | 2022 | |
| dc.description.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. | |
| dc.identifier.issn | https://doi.org/10.3390/su14159733 | |
| dc.identifier.uri | https://uilspace.unilorin.edu.ng/handle/123456789/14291 | |
| dc.language.iso | en | |
| dc.publisher | MDPI | |
| dc.subject | landscape metrics | |
| dc.subject | land use change | |
| dc.subject | SDG | |
| dc.subject | food security | |
| dc.subject | remote sensing | |
| dc.title | Geospatial Analysis with Landsat Series and Sentinel-3B OLCI Satellites to Assess Changes in Land Use and Water Quality over Time in Brazil | |
| dc.type | Article |
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