@article{fdi:010083572, title = {{P}otential of {SWOT} for monitoring water volumes in {S}ahelian ponds and lakes}, author = {{G}rippa, {M}. and {R}ouzies, {C}. and {B}iancamaria, {S}. and {B}lumstein, {D}. and {C}retaux, {J}. {F}. and {G}al, {L}a{\¨e}titia and {R}obert, {E}. and {G}osset, {M}arielle and {K}ergoat, {L}.}, editor = {}, language = {{ENG}}, abstract = {{S}mall water bodies play a pivotal role in {S}ahel, as a critical source of water for livestock and people, and providers of important ecosystems services. {M}onitoring, modeling, and better understanding their hydrological behavior is, therefore, a key issue. {T}he future {S}urface {W}ater and {O}cean {T}opography ({SWOT}) satellite mission will bring a resolution and spatial coverage breakthrough, allowing the estimation of water levels and volumes in small water bodies worldwide. {T}his paper assesses the potential of {SWOT} for monitoring water volumes in {S}ahelian ponds and lakes. {T}his is done by analyzing {SWOT}-like synthetic data produced using a {SWOT} simulator developed by {NASA}-{JPL}. {F}or the {A}goufou lake, water levels were retrieved with an accuracy better than 4 cm, while slightly worse results were obtained for the {Z}alam-{Z}alam lake, that has a more elongated shape. {I}n addition, data from the global precipitation mission dual-frequency precipitation radar have been also employed to investigate the backscattering coefficient variability in the same radar frequency band ({K}a-band) as {SWOT}. {W}e have found that, in the study region, the contrast between water and land, dependent on soil type, soil moisture, and wind conditions, is sometime quite small which can be challenging for water masks estimation. {O}verall, the first application of the {SWOT} simulator over the {S}ahel has shown the good potential of {SWOT} for monitoring the seasonal variability of water levels and volumes in this region.}, keywords = {{I}nland water ; lakes ; {S}ahel ; {S}urface {W}ater and {O}cean {T}opography ({SWOT}) ; {SAHEL} ; {MALI}}, booktitle = {}, journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing}, volume = {12}, numero = {7}, pages = {2541--2549}, ISSN = {1939-1404}, year = {2019}, DOI = {10.1109/jstars.2019.2901434}, URL = {https://www.documentation.ird.fr/hor/fdi:010083572}, }