Title of article :
Mapping changes in the largest continuous Amazonian mangrove belt using object-based classification of multisensor satellite imagery
Author/Authors :
Nascimento Jr.، نويسنده , , Wilson R. and Souza-Filho، نويسنده , , Pedro Walfir M. and Proisy، نويسنده , , Christophe and Lucas، نويسنده , , Richard M. and Rosenqvist، نويسنده , , Ake، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
11
From page :
83
To page :
93
Abstract :
Mapping and monitoring mangrove ecosystems is a crucial objective for tropical countries, particularly where human disturbance occurs and because of uncertainties associated with sea level and climatic fluctuation. In many tropical regions, such efforts have focused largely on the use of optical data despite low capture rates because of persistent cloud cover. Recognizing the ability of Synthetic Aperture Radar (SAR) for providing cloud-free observations, this study investigated the use of JERS-1 SAR and ALOS PALSAR data, acquired in 1996 and 2008 respectively, for mapping the extent of mangroves along the Brazilian coastline, from east of the Amazon River mouth, Parل State, to the Bay of Sمo José in Maranhمo. For each year, an object-orientated classification of major land covers (mangrove, secondary vegetation, gallery and swamp forest, open water, intermittent lakes and bare areas) was performed with the resulting maps then compared to quantify change. Comparison with available ground truth data indicated a general accuracy in the 2008 image classification of all land covers of 96% (kappa = 90.6%, tau = 92.6%). Over the 12 year period, the area of mangrove increased by 718.6 km2 from 6705 m2 to 7423.60 km2, with 1931.0 km² of expansion and 1213 km² of erosion noted; 5493 km² remained unchanged in extent. The general accuracy relating to changes in mangroves was 83.3% (Kappa 66.1%; tau 66.7%). The study confirmed that these mangroves constituted the largest continuous belt globally and were experiencing significant change because of the dynamic coastal environment and the influence of sedimentation from the Amazon River along the shoreline. The study recommends continued observations using combinations of SAR and optical data to establish trends in mangrove distributions and implications for provision of ecosystem services (e.g., fish/invertebrate nurseries, carbon storage and coastal protection).
Keywords :
JERS , mangroves , Coastal changes , ALOS PALSAR , GIS , synthetic aperture radar
Journal title :
Estuarine, Coastal and Shelf Science
Serial Year :
2013
Journal title :
Estuarine, Coastal and Shelf Science
Record number :
1945005
Link To Document :
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