Assessing Remotely Piloted Aerial Systems in the characterization of rocky shores for oil spills environmental sensitivity mapping, northern São Paulo littoral, Brazil
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, Rem...
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Published in | Anais da Academia Brasileira de Ciências Vol. 94; no. suppl 4 |
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Main Authors | , , , , , , |
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Language | English |
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Abstract | 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. |
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AbstractList | 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. |
Author | OLIVEIRA, GABRIEL H.S. DE REIS, FÁBIO A.G.V. WIECZOREK, ARTHUR DUARTE, DÉBORA M. RODRIGUES, FLÁVIO H. CERRI, RODRIGO I. LONGHITANO, GEORGE A. |
AuthorAffiliation | Universidade Estadual Paulista G Drones (Central de Soluções Profissionais) |
AuthorAffiliation_xml | – name: Universidade Estadual Paulista – name: G Drones (Central de Soluções Profissionais) |
Author_xml | – sequence: 1 givenname: RODRIGO I. orcidid: 0000-0003-3075-6100 surname: CERRI fullname: CERRI, RODRIGO I. organization: Universidade Estadual Paulista (Unesp), Brazil – sequence: 2 givenname: FLÁVIO H. orcidid: 0000-0002-2016-5334 surname: RODRIGUES fullname: RODRIGUES, FLÁVIO H. organization: Universidade Estadual Paulista (Unesp), Brazil – sequence: 3 givenname: GABRIEL H.S. DE orcidid: 0000-0001-9448-5763 surname: OLIVEIRA fullname: OLIVEIRA, GABRIEL H.S. DE organization: Universidade Estadual Paulista (Unesp), Brazil – sequence: 4 givenname: FÁBIO A.G.V. orcidid: 0000-0003-3918-6861 surname: REIS fullname: REIS, FÁBIO A.G.V. organization: Universidade Estadual Paulista (Unesp), Brazil – sequence: 5 givenname: ARTHUR orcidid: 0000-0002-4279-4617 surname: WIECZOREK fullname: WIECZOREK, ARTHUR organization: Universidade Estadual Paulista (Unesp), Brazil – sequence: 6 givenname: GEORGE A. orcidid: 0000-0002-1794-2518 surname: LONGHITANO fullname: LONGHITANO, GEORGE A. organization: Universidade Estadual Paulista (Unesp), Brazil; G Drones (Central de Soluções Profissionais), Brazil – sequence: 7 givenname: DÉBORA M. orcidid: 0000-0002-6330-1850 surname: DUARTE fullname: DUARTE, DÉBORA M. organization: G Drones (Central de Soluções Profissionais), Brazil |
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CitedBy_id | crossref_primary_10_1016_j_marpolbul_2023_115682 crossref_primary_10_1007_s10661_023_12034_7 |
Cites_doi | 10.1080/15481603.2018.1510088 10.1080/02693799008941539 10.1080/10106049309354404 10.1016/j.ocecoaman.2015.11.024 10.2112/JCOASTRES-D-15-00005.1 10.1007/s12665-015-4380-0 10.1016/j.ocecoaman.2012.05.004 10.3390/rs12142313 10.3390/rs10040641 10.3390/rs11050540 10.1038/srep22574 10.1080/15481603.2017.1419602 10.1016/j.ocecoaman.2020.105410 10.1016/j.marpolbul.2016.03.022 10.3390/ijgi8110489 10.1016/j.swevo.2019.01.005 10.1061/(ASCE)SU.1943-5428.0000333 10.1038/nclimate1908 10.1007/s11119-012-9274-5 10.1007/s12518-013-0120-x 10.1016/j.rse.2016.05.019 |
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Keywords | Environmental sensitivity index oil spill remotely piloted aerial systems rocky shores |
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Snippet | Abstract The Environmental Sensitivity Index (ESI) for oil spills was developed to assist coordinators to evaluate oil spill impact along shorelines and also... |
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SubjectTerms | Environmental sensitivity index MULTIDISCIPLINARY SCIENCES oil spill remotely piloted aerial systems rocky shores |
Title | Assessing Remotely Piloted Aerial Systems in the characterization of rocky shores for oil spills environmental sensitivity mapping, northern São Paulo littoral, Brazil |
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