Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery
Abstract Mangroves occur in the tropics and subtropics. This region is constantly covered by clouds and therefore highly challenging to map and monitor. Technological advances in remote sensing have increased the flexibility of performing such analyses. In this study, mapping and change detection we...
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| Format: | Article |
| Language: | English |
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Academia Brasileira de Ciências
2023-12-01
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| Series: | Anais da Academia Brasileira de Ciências |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000501103&tlng=en |
| _version_ | 1827398228067221504 |
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| author | JOÃO PAULO N. LOPES WILSON R. NASCIMENTO JR CESAR G. DINIZ PEDRO WALFIR M. SOUZA-FILHO |
| author_facet | JOÃO PAULO N. LOPES WILSON R. NASCIMENTO JR CESAR G. DINIZ PEDRO WALFIR M. SOUZA-FILHO |
| author_sort | JOÃO PAULO N. LOPES |
| collection | DOAJ |
| description | Abstract Mangroves occur in the tropics and subtropics. This region is constantly covered by clouds and therefore highly challenging to map and monitor. Technological advances in remote sensing have increased the flexibility of performing such analyses. In this study, mapping and change detection were carried out for mangrove areas of the South and Southeast regions of Brazil between 2008 and 2016 using multisensor data and geographical object-based image analysis (GEOBIA). The 823.03 km² mangrove areas in study site in 2008 were reduced to 789.00 km² in 2016, representing a net loss of ~34 km². A change detection analysis of the mangrove areas showed a total gain of 138.21 km², a total loss of 172.24 km² and no change for 650.79 km². The GEOBIA classification accuracy was assessed by performing a statistical analysis of confusion matrix: (2008): global accuracy = 0.92, Kappa index = 0.84 and Tau index = 0.84; and (2016): global accuracy = 0.93, Kappa index = 0.86 and Tau index = 0.86. These results demonstrate the effectiveness of the GEOBIA to map and analyze mangrove dynamics. The results exhibit an excellent accuracy. Furthermore, mangrove areas in the south and southeast Brazil were mapped from the same methodological approach. |
| first_indexed | 2024-03-08T19:26:31Z |
| format | Article |
| id | doaj.art-702a33322f1047d8b8480ab21d447298 |
| institution | Directory Open Access Journal |
| issn | 1678-2690 |
| language | English |
| last_indexed | 2024-03-08T19:26:31Z |
| publishDate | 2023-12-01 |
| publisher | Academia Brasileira de Ciências |
| record_format | Article |
| series | Anais da Academia Brasileira de Ciências |
| spelling | doaj.art-702a33322f1047d8b8480ab21d4472982023-12-26T08:27:26ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902023-12-0195suppl 210.1590/0001-3765202320201533Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imageryJOÃO PAULO N. LOPEShttps://orcid.org/0000-0001-7872-447XWILSON R. NASCIMENTO JRhttps://orcid.org/0000-0002-0720-4933CESAR G. DINIZhttps://orcid.org/0000-0001-7718-0992PEDRO WALFIR M. SOUZA-FILHOhttps://orcid.org/0000-0003-0252-808XAbstract Mangroves occur in the tropics and subtropics. This region is constantly covered by clouds and therefore highly challenging to map and monitor. Technological advances in remote sensing have increased the flexibility of performing such analyses. In this study, mapping and change detection were carried out for mangrove areas of the South and Southeast regions of Brazil between 2008 and 2016 using multisensor data and geographical object-based image analysis (GEOBIA). The 823.03 km² mangrove areas in study site in 2008 were reduced to 789.00 km² in 2016, representing a net loss of ~34 km². A change detection analysis of the mangrove areas showed a total gain of 138.21 km², a total loss of 172.24 km² and no change for 650.79 km². The GEOBIA classification accuracy was assessed by performing a statistical analysis of confusion matrix: (2008): global accuracy = 0.92, Kappa index = 0.84 and Tau index = 0.84; and (2016): global accuracy = 0.93, Kappa index = 0.86 and Tau index = 0.86. These results demonstrate the effectiveness of the GEOBIA to map and analyze mangrove dynamics. The results exhibit an excellent accuracy. Furthermore, mangrove areas in the south and southeast Brazil were mapped from the same methodological approach.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000501103&tlng=enLandsatJERSALOS PALSARGEOBIAmangroveschange detection |
| spellingShingle | JOÃO PAULO N. LOPES WILSON R. NASCIMENTO JR CESAR G. DINIZ PEDRO WALFIR M. SOUZA-FILHO Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery Anais da Academia Brasileira de Ciências Landsat JERS ALOS PALSAR GEOBIA mangroves change detection |
| title | Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery |
| title_full | Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery |
| title_fullStr | Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery |
| title_full_unstemmed | Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery |
| title_short | Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery |
| title_sort | mangrove changes over the past decade in south and southeast brazil using spaceborne optical and sar imagery |
| topic | Landsat JERS ALOS PALSAR GEOBIA mangroves change detection |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652023000501103&tlng=en |
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