@article{fdi:010091548, title = {{CNES}-{ESA} satellite contribution to the operational monitoring of volcanic activity : the 2021 {I}celandic eruption of {M}t. {F}agradalsfjall}, author = {{G}ouhier, {M}. and {P}inel, {V}irginie and {B}elart, {J}.{M}. and {D}e {M}ichele, {M}. and {P}roy, {C}. and {T}inel, {C}. and {B}erthier, {E}. and {G}u{\'e}henneux, {Y}. and {G}udmundsson, {M}.{T}. and Óskarsson, {B}.{V}. and {G}remion, {S}. and {R}aucoules, {D}. and {V}alade, {S}. and {M}assimetti, {F}. and {O}ddsson, {B}.}, editor = {}, language = {{ENG}}, abstract = {{W}ithin the framework of the {CIEST}2 ({C}ellule d'{I}ntervention d'{E}xpertise {S}cientifique et {T}echnique new generation) and thanks to the support of {CNES}, the {F}rench space agency, the first phase of the {F}agradalsfjall eruption was exceptionally well covered by high resolution optical satellite data, through daily acquisitions of {P}l{\'e}iades images in stereo mode. {I}n this study, we show how {P}l{\'e}iades data provided real-time information useful for the operational monitoring of the ongoing eruption. {A}n estimation of the volume of lava emitted as well as the corresponding effusion rate could be derived and delivered to the civil protection less than 6 h after the data acquisition. {T}his information is complementary to and consistent with estimates obtained through the {HOTVOLC} service using {SEVIRI} ({S}pinning {E}nhanced {V}isible and {I}nfrared {I}mager) sensor on-board {M}eteosat {S}econd {G}eneration ({MGS}) geostationary satellites, operated by the {E}uropean {S}pace {A}gency ({ESA}), characterized by a lower spatial resolution and a higher temporal one. {I}n addition to the information provided on the lava emission, {P}l{\'e}iades data also helped characterize the intensity of the eruption by providing insight into the elevation and the velocity of the volcanic plume. {T}he survey of this effusive eruption, well anticipated by a series of precursors, is a proof of concept of the efficiency of optical/thermal satellite data for volcanic crisis real-time monitoring.}, keywords = {{ISLANDE} ; {FAGRADALSFJALL}}, booktitle = {}, journal = {{J}ournal of {A}pplied {V}olcanology}, volume = {11}, numero = {1}, pages = {10 [16 ]}, ISSN = {2191-5040}, year = {2022}, DOI = {10.1186/s13617-022-00120-3}, URL = {https://www.documentation.ird.fr/hor/fdi:010091548}, }