Geospatial analysis with landsat series and sentinel-3B OLCI satellites to assess changes in land use and water quality over time in Brazil

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) im...

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Autores:
Dal Moro, Leila
Stolfo Maculan, Laércio
Pivoto, Dieisson
Tibério Cardoso, Grace
Pinto, Diana
Adelodun, Bashir
Bodah, Brian William
Santosh, M.
Guedes Bortoluzzi, Marluse
Branco, Elisiane
Neckel, Alcindo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/10721
Acceso en línea:
https://hdl.handle.net/11323/10721
https://repositorio.cuc.edu.co/
Palabra clave:
Landscape metrics
Land use change
SDG
Food security
Remote sensing
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)
Description
Summary: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.