Estimation of the chlorophyll-a concentration on the surface of Sechura Bay using Landsat 8 image data

• Autores: Ramírez, Gilberto, Rojas, Joel, Guerrero, Jhon
• Formato: artículo
• Fecha de Publicación: 2021
• Institución: Universidad Nacional Mayor de San Marcos
• Repositorio: Revistas - Universidad Nacional Mayor de San Marcos
• Lenguaje: español
• OAI Identifier: oai:ojs.csi.unmsm:article/20321
• Enlace del recurso: https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20321
• Nivel de acceso: acceso abierto
• Materia: Chlorophyll-a; Landsat-8; OC2; OC3; Sechura Bay; Clorofila-a; Bahía de Sechura

The purpose of this study is to implement the OC2 and OC3 algorithms to estimate the concentration of surface chlorophyll-a (CCA) from image data from the OLI sensor aboard the Landsat-8 satellite. The LaSRC (Landsat 8 Surface Reflectance Code) atmospheric correction model was validated with on-site measurements of the reflectance of the water surface recorded with a spectroradiometer on the surface of the fan shell crop area of the Sechura Bay. Validation results in a linear correlation coefficient of R = 95.1 % and a mean square error RMSE = 0.0095. A comparison of the CCA derived from the OC2 and OC3 algorithms was also made, resulting in an RMSE = 0.145 mg/m3 and a correlation coecient of R = 99 %. Finally, a contrast was made of the histograms of the spatial distribution of the CCA estimated from the OC2 and OC3 algorithms over a region of the study area. The results indicate a greater ability to discern the OC3 algorithm compared to the OC2 algorithm