@article{fdi:010049040,
  title = {{T}he potential for remote sensing and hydrologic modelling to assess the spatio-temporal dynamics of ponds in the {F}erlo {R}egion ({S}enegal)},
  author = {{S}oti, {V}. and {P}uech, {C}. and {L}o {S}een, {D}. and {B}ertran, {A}. and {V}ignolles, {C}. and {M}ondet, {B}ernard and {D}essay, {N}adine and {T}ran, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the {F}erlo {R}egion in {S}enegal, livestock depend on temporary ponds for water but are exposed to the {R}ift {V}alley {F}ever ({RVF}), a disease transmitted to herds by mosquitoes which develop in these ponds. {M}osquito abundance is related to the emptying and filling phases of the ponds, and in order to study the epidemiology of {RVF}, pond modelling is required. {I}n the context of a data scarce region, a simple hydrologic model which makes use of remote sensing data was developed to simulate pond water dynamics from daily rainfall. {T}wo sets of ponds were considered: those located in the main stream of the {F}erlo {V}alley whose hydrological dynamics are essentially due to runoff, and the ponds located outside, which are smaller and whose filling mechanisms are mainly due to direct rainfall. {S}eparate calibrations and validations were made for each set of ponds. {C}alibration was performed from daily field data (rainfall, water level) collected during the 2001 and 2002 rainy seasons and from three different sources of remote sensing data: 1) very high spatial resolution optical satellite images to access pond location and surface area at given dates, 2) {A}dvanced {S}paceborne {T}hermal {E}mission and {R}eflection {R}adiometer ({ASTER}) {D}igital {E}levation {M}odel ({DEM}) data to estimate pond catchment area and 3) {T}ropical {R}ainfall {M}easuring {M}ission ({TRMM}) data for rainfall estimates. {T}he model was applied to all ponds of the study area, the results were validated and a sensitivity analysis was performed. {W}ater height simulations using gauge rainfall as input were compared to water level measurements from four ponds and {N}ash coefficients > 0.7 were obtained. {C}omparison with simulations using {TRMM} rainfall data gave mixed results, with poor water height simulations for the year 2001 and good estimations for the year 2002. {A} pond map derived from a {Q}uickbird satellite image was used to assess model accuracy for simulating pond water areas for all the ponds of the study area. {T}he validation showed that modelled water areas were mostly underestimated but significantly correlated, particularly for the larger ponds. {T}he results of the sensitivity analysis showed that parameters relative to pond shape and catchment area estimation have less effects on model simulation than parameters relative to soil properties (rainfall threshold causing runoff in dry soils and the coefficient expressing soil moisture decrease with time) or the water loss coefficient. {O}verall, our results demonstrate the possibility of using a simple hydrologic model with remote sensing data to track pond water heights and water areas in a homogeneous arid area.},
  keywords = {{SENEGAL}},
  booktitle = {},
  journal = {{H}ydrology and {E}arth {S}ystem {S}ciences},
  volume = {14},
  numero = {8},
  pages = {1449--1464},
  ISSN = {1027-5606},
  year = {2010},
  DOI = {10.5194/hess-14-1449-2010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010049040},
}