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Remote Sens. 2015, 7(2), 2127-2151; doi:10.3390/rs70202127

Inundations in the Inner Niger Delta: Monitoring and Analysis Using MODIS and Global Precipitation Datasets

CNES/Legos, 14 Av Edouard Belin, 31400 Toulouse, France
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Author to whom correspondence should be addressed.
Academic Editors: Zoltan Vekerdy, George P. Petropoulos and Prasad S. Thenkabail
Received: 26 May 2014 / Revised: 11 December 2014 / Accepted: 28 January 2015 / Published: 16 February 2015
(This article belongs to the Special Issue Earth Observation for Water Resource Management in Africa)
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Abstract

A method of wetland mapping and flood survey based on satellite optical imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra instrument was used over the Inner Niger Delta (IND) from 2000–2013. It has allowed us to describe the phenomenon of inundations in the delta and to decompose the flooded areas in the IND into open water and mixture of water and dry land, and that aquatic vegetation is separated from bare soil and “dry” vegetation. An Empirical Orthogonal Function (EOF) analysis of the MODIS data and precipitation rates from a global gridded data set is carried out. Connections between flood sequence and precipitation patterns from the upstream part of the Niger and Bani river watersheds up to the IND are studied. We have shown that inter-annual variability of flood dominates over the IND and we have estimated that the surface extent of open water varies by a factor of four between dry and wet years. We finally observed an increase in vegetation over the 14 years of study and a slight decrease of open water. View Full-Text
Keywords: Inner Niger Delta; MODIS; TRMM; inundation Inner Niger Delta; MODIS; TRMM; inundation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bergé-Nguyen, M.; Crétaux, J.-F. Inundations in the Inner Niger Delta: Monitoring and Analysis Using MODIS and Global Precipitation Datasets. Remote Sens. 2015, 7, 2127-2151.

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