Title :
Multi-temporal analysis of a mangrove ecosystem in Southeastern Brazil using object-based classification applied to IKONOS II data
Author :
De Oliveira Vasconcelos, Adriano ; Landau, Luiz ; De Miranda, Fernando Pellon
Author_Institution :
LabSAR, Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
Construction of the Petrochemical Complex of Rio de Janeiro (COMPERJ) will introduce a new scenario to the Guapi-Mirim Environmental Protection Area (EPA) in the coming years, since it will require constant environmental monitoring so as to portray its ecological evolution. Therefore, the objective of this paper is to perform a multi-temporal analysis of the Guapi-Mirim EPA, using object-based segmentation and classification techniques applied to IKONOS II images, in order to characterize changes in land use and cover types in the investigated site. Two scenes of the IKONOS II sensor acquired on 2006 and 2008 were chosen for the study. Overall results reveal a regeneration stage for the mangrove ecosystem and a stagnation of the urban area growth within the limits of the Guapi-Mirim EPA.
Keywords :
ecology; environmental monitoring (geophysics); environmental science computing; geophysical image processing; image classification; image segmentation; vegetation; vegetation mapping; AD 2006; AD 2008; COMPERJ; Guapi-Mirim environmental protection area; IKONOS II data; Rio de Janeiro; ecological evolution; environmental monitoring; image classification; land cover characterization; land use characterization; mangrove ecosystem; multitemporal analysis; object-based classification; object-based segmentation; petrochemical complex; regeneration stage; southeastern Brazil; urban area growth stagnation; Concrete; Ecosystems; Image segmentation; Production; Shape; Spatial resolution; Urban areas; change detection; high spatial resolution image; mangrove; remote sensing;
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the
Conference_Location :
Trento
Print_ISBN :
978-1-4577-1202-9
DOI :
10.1109/Multi-Temp.2011.6005075