Next Article in Journal
Applying a Hybrid Model of Markov Chain and Logistic Regression to Identify Future Urban Sprawl in Abouelreesh, Aswan: A Case Study
Next Article in Special Issue
Measuring Beach Profiles along a Low-Wave Energy Microtidal Coast, West-Central Florida, USA
Previous Article in Journal
Turtles From an Arkadelphia Formation—Midway Group Lag Deposit (Maastrichtian—Paleocene), Hot Spring County, Arkansas, USA
Previous Article in Special Issue
A Monitoring Network to Map and Assess Landslide Activity in a Highly Anthropized Area
Open AccessArticle

Assessing Floods and Droughts in Ungauged Small Reservoirs with Long-Term Landsat Imagery

IRD, UMR G-eau, BP 5095, 34196 Montpellier CEDEX 5, France
Department of Geography, King’s College London, WC2R 2LS London, UK
Montpellier SupAgro, UMR G-eau, 34060 Montpellier, France
Author to whom correspondence should be addressed.
Academic Editors: Ruiliang Pu and Jesus Martinez-Frias
Geosciences 2016, 6(4), 42;
Received: 29 May 2016 / Revised: 2 September 2016 / Accepted: 15 September 2016 / Published: 27 September 2016
(This article belongs to the Special Issue Mapping and Assessing Natural Disasters Using Geospatial Technologies)
Small reservoirs have developed across semi-arid areas as a low cost solution for millions of rural small holders to harvest scarce water resources. Studies have highlighted limited agricultural water use and low water availability on individual reservoirs, but no information exists on the drought patterns of multiple small reservoirs. Their small size and dispersion prevents individualised hydrological monitoring, while hydrological modelling suffers from rainfall variability and heterogeneity across data sparse catchments and reservoirs. A semi-automated original approach exploiting free, archive Landsat satellite images is developed here for long-term monitoring of multiple ungauged small water bodies. Adapted and tested against significant hydrometric time series on three lakes, the method confirms its potential to monitor water availability on the smallest water bodies (1–10 ha) with a mean RMSE of 20,600 m3 (NRMSE = 26%). Uncertainties from the absence of site-specific and updated surface-volume rating curves were here contained through a power relationship adapted over time for silting based on data from 15 surrounding lakes. Applied to 51 small reservoirs and 546 images over 1999–2014, results highlight the ability of this transposable method to shed light on flood dynamics and allow inter annual and inter lake comparisons of water availability. In the Merguellil upper catchment, in Central Tunisia, results reveal the significant droughts affecting over 80% of reservoirs, confirming the need for small reservoirs to maintain a supplementary irrigation objective only. View Full-Text
Keywords: water harvesting; remote sensing; Landsat; agricultural water availability; Tunisia water harvesting; remote sensing; Landsat; agricultural water availability; Tunisia
Show Figures

Graphical abstract

MDPI and ACS Style

Ogilvie, A.; Belaud, G.; Massuel, S.; Mulligan, M.; Le Goulven, P.; Calvez, R. Assessing Floods and Droughts in Ungauged Small Reservoirs with Long-Term Landsat Imagery. Geosciences 2016, 6, 42.

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

Back to TopTop