Abstract
Mangrove restoration projects have multiplied in last decades, but many have failed, and monitoring is often lacking. This paper aims at monitoring six projects in Benin, Senegal, Costa Rica, and the Philippines using remote sensing to evaluate the effectiveness of the studied restoration measures in terms of increase of mangroves cover. An unsupervised staked classification was performed to discriminate the land cover into four classes: water, dryland, mudflats, and mangroves. Projects combining hydrological restoration and mangrove replanting are the most effective and former aquaculture ponds or salt pan show rapid and regeneration, even without active restoration.
Published Version
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