Next Article in Journal
Large-Area, High-Resolution Tree Cover Mapping with Multi-Temporal SPOT5 Imagery, New South Wales, Australia
Next Article in Special Issue
A Spatially Explicit, Multi-Criteria Decision Support Model for Loggerhead Sea Turtle Nesting Habitat Suitability: A Remote Sensing-Based Approach
Previous Article in Journal
Object-Based Greenhouse Mapping Using Very High Resolution Satellite Data and Landsat 8 Time Series
Previous Article in Special Issue
Submerged Kelp Detection with Hyperspectral Data
Open AccessArticle

Mangroves at Their Limits: Detection and Area Estimation of Mangroves along the Sahara Desert Coast

1
Laboratory of Systems Ecology and Resource Management, Faculté des Sciences, Université Libre de Bruxelles (ULB), Avenue F.D. Roosevelt 50, CPI 264/1, B-1050 Brussels, Belgium
2
Laboratory of Plant Biology and Nature Management, Ecology and Biodiversity, Faculty of Science and Bio-Engineering Sciences, Vrije Universiteit Brussel (VUB), Pleinlaan 2, VUB-APNA-WE, B-1050 Brussels, Belgium
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Deepak R. Mishra, Richard W. Gould and Prasad S. Thenkabail
Remote Sens. 2016, 8(6), 512; https://doi.org/10.3390/rs8060512
Received: 31 March 2016 / Revised: 27 May 2016 / Accepted: 14 June 2016 / Published: 18 June 2016
(This article belongs to the Special Issue Remote Sensing in Coastal Environments)
The northernmost and most arid mangrove ecosystem of West Africa is found in Mauritania, in the Parc National du Banc d’Arguin (PNBA). The existing global and regional maps of Mauritania’s mangroves have little detail, and available estimates of the mangrove area differ among studies. We assessed the use of automated Remote Sensing classification techniques to calculate the extent and map the distribution of the mangrove patches located at Cap Timiris, PNBA, using QuickBird and GeoEye imagery. It was possible to detect the northernmost contiguous mangrove patches of West Africa with an accuracy of 87% ± 2% using the Maximum Likelihood algorithm. The main source of error was the low spectral difference between mangroves and other types of terrestrial vegetation, which resulted in an erroneous classification between these two types of land cover. The most reliable estimate for the mangrove area obtained in this study was 19.48 ± 5.54 ha in 2011. Moreover, we present a special validation procedure that enables a detailed and reliable validation of the land cover maps. View Full-Text
Keywords: mangroves; arid ecosystems; latitudinal limits; remote sensing; area estimation; Cap Timiris; Mauritania mangroves; arid ecosystems; latitudinal limits; remote sensing; area estimation; Cap Timiris; Mauritania
Show Figures

Graphical abstract

MDPI and ACS Style

Otero, V.; Quisthoudt, K.; Koedam, N.; Dahdouh-Guebas, F. Mangroves at Their Limits: Detection and Area Estimation of Mangroves along the Sahara Desert Coast. Remote Sens. 2016, 8, 512.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop