@inproceedings{fdi:010091430, title = {{M}onitoring evapotranspiration from remote sensing data for groundwater resources evaluation [r{\'e}sum{\'e}]}, author = {{O}lioso, {A}. and {A}llies, {A}. and {O}llivier, {C}. and {B}oulet, {G}illes and {D}emarty, {J}{\'e}r{\^o}me and {L}eblanc, {M}. and {V}elluet, {C}. and {B}ahir, {M}. and {M}artin-{S}t{P}aul, {N}. and {G}allego-{E}lvira, {B}. and {M}ira, {M}. and {W}eiss, {M}. and {C}hauvelon, {P}. and {B}outron, {O}. and {C}halikakis, {K}. and {M}azzilli, {N}. and {G}arrigues, {S}. and {M}arloie, {O}. and {C}appelaere, {B}ernard and {T}weed, {S}arah}, editor = {}, language = {{ENG}}, abstract = {{E}vapotranspiration ({ET}) is a fundamental variable of the hydrological cycle which plays a major role on surface water balance and surface energy balance. {W}hen regional information is required, e.g. for monitoring ground water resources, estimation of {ET} often relies on estimation from meteorological data through potential evapotranspiration formulas. {A}t regional scale remote sensing provides spatially distributed information for mapping and monitoring {ET}, but this information is still rarely used for ground water assessment. {I}ndeed, remote sensing estimation of {ET} suffers several drawbacks. {I}n particular, remote sensing information by itself cannot provide a continuous monitoring of {ET} because of the presence of clouds and the revisit period of the sensor. {A}nother difficulty originates in the lack of exhaustive evaluation of remote sensed {ET} since accurate ground measurements are scarce and representative of a limited number of homogeneous areas. {T}his has also for consequence that a large number of methodologies to derive {ET} were developed with no real possibility of a consistent evaluation. {W}e have developed the {EVASPA} ({EV}apotranspiration {A}ssessment from {SPA}ce) tool to monitor {ET} on a daily basis, together with an evaluation of the associated uncertainties, from remote sensing data in the thermal and the solar domains. {T}his tool combines the estimation of {ET} from various models and various sources of data, including {MODIS} sensors, {LANDSAT}-borne sensors and meteorological information. {EVASPA} was applied to estimate evapotranspiration over several areas in the {S}outh of {F}rance to help in monitoring the water budget of different hydrosystems: superficial aquifer in the {R}h{\^o}ne river delta ({C}amargue), karstic aquifer of the {F}ontaine de {V}aucluse spring system and alluvial aquifer in {L}imagne with increasing water withdrawing for irrigation. {T}he method was first evaluated against flux tower measurements ({RMSE} between 0.5 and 1 mm/day depending on the ecosystems). {W}hen integrated over watershed, {ET} retrievals were also compared to indirect estimates of evapotranspiration from either water balance and stream flow monitoring or other modelling approaches for time period of more than a decade (these include remote sensing operational products such as {MOD}16 or analysis of atmospheric-hydrological modeling such as the operational {S}afran-{I}sba-{M}odcou application). {T}he results highlight the potential use of the retrieved {ET} for calibrating ground water models (e.g. for estimating aquifer parameters. . . ) or evaluating model inputs (e.g. determination of effective rainfall, identification of irrigated areas. . . ). {W}e also evaluated the impact of the uncertainties in the estimation of {ET} in the monitoring of ground water. {W}e showed that the main sources of {ET} uncertainty were related to the uncertainties in incident radiations and surface temperature together with the diversity of {ET} models. {W}hen forced in ground water models, the uncertainties in {ET} had an impact almost equivalent to the impact of uncertainties in rain inputs.}, keywords = {{FRANCE} ; {CAMARGUE} ; {RHONE} {DELTA} ; {FONTAINE} {DE} {VAUCLUSE}}, numero = {}, pages = {{RSHS}18--43 [1 ]}, booktitle = {{R}emote {S}ensing and {H}ydrology {S}ymposium ({ICRS}-{IAHS})}, year = {2018}, URL = {https://www.documentation.ird.fr/hor/fdi:010091430}, }