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Mar Pollut Bull. 2018 Jun;131(Pt B):61-71. doi: 10.1016/j.marpolbul.2017.05.056. Epub 2017 Jun 24.

Monitoring mangrove forests after aquaculture abandonment using time series of very high spatial resolution satellite images: A case study from the Perancak estuary, Bali, Indonesia.

Author information

1
AMAP, IRD, CNRS, CIRAD, INRA, Université de Montpellier, Montpellier, France; Geomatics and Applied Informatics Laboratory (LIAG), French Institute of Pondicherry, Pondicherry, India. Electronic address: christophe.proisy@ird.fr.
2
AMAP, IRD, CNRS, CIRAD, INRA, Université de Montpellier, Montpellier, France.
3
The Institute for Marine Research and Observation, The Agency for Marine and Fisheries Research, The Ministry of Marine Affairs and Fisheries, Perancak, Bali, Indonesia; IFREMER, LEAD/NC, Nouméa, New Caledonia.
4
IFREMER, LEAD/NC, Nouméa, New Caledonia.
5
Mangrove Action Project, Trang, Thailand.
6
GIP ECOFOR, Paris, France.
7
The Agency for Marine and Fisheries Research, Ministry of Marine Affairs and Fisheries, Jakarta, Indonesia; University of New Caledonia, Nouméa, New Caledonia; IFREMER, LEAD/NC, Nouméa, New Caledonia.
8
Geomatics and Applied Informatics Laboratory (LIAG), French Institute of Pondicherry, Pondicherry, India.
9
AMAP, IRD, CNRS, CIRAD, INRA, Université de Montpellier, Montpellier, France; Institute of Forest Growth and Computer Science, Technische Universität, Dresden, Germany.
10
AMAP, IRD, CNRS, CIRAD, INRA, Université de Montpellier, Montpellier, France; The Agency for Marine and Fisheries Research, Ministry of Marine Affairs and Fisheries, Jakarta, Indonesia.
11
Herbarium Bogoriense, Indonesian Institute of Sciences (LIPI), Bogor, Indonesia.

Abstract

Revegetation of abandoned aquaculture regions should be a priority for any integrated coastal zone management (ICZM). This paper examines the potential of a matchless time series of 20 very high spatial resolution (VHSR) optical satellite images acquired for mapping trends in the evolution of mangrove forests from 2001 to 2015 in an estuary fragmented into aquaculture ponds. Evolution of mangrove extent was quantified through robust multitemporal analysis based on supervised image classification. Results indicated that mangroves are expanding inside and outside ponds and over pond dykes. However, the yearly expansion rate of vegetation cover greatly varied between replanted ponds. Ground truthing showed that only Rhizophora species had been planted, whereas natural mangroves consist of Avicennia and Sonneratia species. In addition, the dense Rhizophora plantations present very low regeneration capabilities compared with natural mangroves. Time series of VHSR images provide comprehensive and intuitive level of information for the support of ICZM.

KEYWORDS:

ICZM; Mangroves; Rehabilitation; Remote sensing; Rhizophora plantations; Shrimp ponds

PMID:
28651863
DOI:
10.1016/j.marpolbul.2017.05.056
[Indexed for MEDLINE]

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