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(Article of periodic en Anglais - 2011)

Document title

Satellite remote sensing of mangrove forests : recent advances and future opportunities

Authors(s) and Affiliation(s)

HEUMANN B.W. (1) ;
(1) Dep. of Geography, Univ. of North Carolina, Chapel Hill, ETATS-UNIS

Abstract

This paper reviews : 1) the traditional approaches (pixel-based classification of Landsat, SPOT, and ASTER imagery) for mapping mangrove areal extent and change; 2) recent advancements in remote-sensed data with new sensors (ALOS PRISM and PALSAR) more recent types of imagery (very high resolution (VHR), Polarmetric Synthetic Aperture Radar (PolSAR), hyperspectral, and LiDAR systems) and new analysis techniques (Object Based Image Analysis (OBIA), spatial image analysis (e.g. image texture), Synthetic Aperture Radar Interferometry (InSAR), and machine-learning algorithms) for characterizing mangroves in terms of species composition, leaf area, canopy height, and stand biomass and 3) future opportunities for integration of these recent advancements and wide-scale application to provide regional and global monitoring of mangroves in the context of growing threats from deforestation, natural disasters, and global climate change, especially sea-level rise

Source

Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2011, vol. 35, no1 [pp. 87-108]

Bibliographic references : 6 p.

Collation : 4 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133310385371

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2011
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