Assessing Remotely Piloted Aerial Systems in the characterization of rocky shores for oil spills environmental sensitivity mapping, northern São Paulo littoral, Brazil

• Published in: Anais da Academia Brasileira de Ciências Vol. 94; no. suppl 4
• Main Authors: CERRI, RODRIGO I., RODRIGUES, FLÁVIO H., OLIVEIRA, GABRIEL H.S. DE, REIS, FÁBIO A.G.V., WIECZOREK, ARTHUR, LONGHITANO, GEORGE A., DUARTE, DÉBORA M.
• Format: Journal Article
• Language: English
• Published: Academia Brasileira de Ciências 01.01.2022
• Subjects: Environmental sensitivity index; MULTIDISCIPLINARY SCIENCES; oil spill; remotely piloted aerial systems; rocky shores; Environmental sensitivity index; oil spill; remotely piloted aerial systems; rocky shores
• ISSN: 0001-3765; 1678-2690; 1678-2690
• DOI: 10.1590/0001-3765202220210946

Abstract The Environmental Sensitivity Index (ESI) for oil spills was developed to assist coordinators to evaluate oil spill impact along shorelines and also to coordinate the allocation of resources during and after the incident, aiming to reduce environmental damage and consequences. Recently, Remotely Piloted Aerial Systems (RPAS) are being used in a wide range of areas, since they complement traditional remote sensing data (e.g., satellite images) and offer a rapidly, precise, detail and high-resolution images that fit well for environmental studies. Herein, the use of high-resolution RPAS images for ESI analysis of rocky shores in the Brazilian territory was performed. Using RPAS images, with their higher-resolution compared with ArcGIS Pro Basemap satellite images, increased the detailed of ESI analysis for oil spills, increasing the number of regions in the rocky shore that are more sensitive to oil spills. The RPAS images were able to decrease the number of areas that were less sensitive to oil spills, and increase areas that are more sensitive to oil spills. This increase is important, since they were not detected in the ESI analysis using conventional ArcGIS Pro Basemap satellite images. The RPAS images permit to delineate precisely rocky shores, improving ESI interpretation in rocky shores.