| Autor: |
Cerri RI; Universidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Departamento de Geologia, Avenida 24-A, Bela Vista, 178, 13506-900 Rio Claro, SP, Brazil., Rodrigues FH; Universidade Estadual Paulista (Unesp), Fundação para o Desenvolvimento da UNESP (FUNDUNESP), Instituto de Geociências e Ciências Exatas, Departamento de Geologia, Avenida 24-A, Bela Vista, 178, 13506-900 Rio Claro, SP, Brazil., Oliveira GHS; Universidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Departamento de Geologia, Avenida 24-A, Bela Vista, 178, 13506-900 Rio Claro, SP, Brazil., Reis FAGV; Universidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Departamento de Geologia, Avenida 24-A, Bela Vista, 178, 13506-900 Rio Claro, SP, Brazil., Wieczorek A; Universidade Estadual Paulista (Unesp), Fundação para o Desenvolvimento da UNESP (FUNDUNESP), Instituto de Geociências e Ciências Exatas, Departamento de Geologia, Avenida 24-A, Bela Vista, 178, 13506-900 Rio Claro, SP, Brazil., Longhitano GA; Universidade Estadual Paulista (Unesp), Fundação para o Desenvolvimento da UNESP (FUNDUNESP), Instituto de Geociências e Ciências Exatas, Departamento de Geologia, Avenida 24-A, Bela Vista, 178, 13506-900 Rio Claro, SP, Brazil.; G Drones (Central de Soluções Profissionais), Rua Desembargador do Vale, Pompéia, 653, 05010-040 São Paulo, SP, Brazil., Duarte DM; G Drones (Central de Soluções Profissionais), Rua Desembargador do Vale, Pompéia, 653, 05010-040 São Paulo, SP, Brazil. |
| Abstrakt: |
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. |
