@article{fdi:010079309, title = {{P}otential for the detection of irrigation events on maize plots using {S}entinel-1 soil moisture products}, author = {{L}e {P}age, {M}. and {J}arlan, {L}ionel and {E}l {H}ajj, {M}. {M}. and {Z}ribi, {M}. and {B}aghdadi, {N}. and {B}oone, {A}.}, editor = {}, language = {{ENG}}, abstract = {{A}lthough the real timing and flow rates used for crop irrigation are controlled at the scale of individual plots by the irrigator, they are not generally known by the farm upper management. {T}his information is nevertheless essential, not only to compute the water balance of irrigated plots and to schedule irrigation, but also for the management of water resources at regional scales. {T}he aim of the present study was to detect irrigation timing using time series of surface soil moisture ({SSM}) derived from {S}entinel-1 radar observations. {T}he method consisted of assessing the direction of change of surface soil moisture ({SSM}) between observations and a water balance model, and to use thresholds to be calibrated. {T}he performance of the approach was assessed on the {F}-score quantifying the accuracy of the irrigation event detections and ranging from 0 (none of the irrigation timing is correct) to 100 (perfect irrigation detection). {T}he study focused on five irrigated and one rainfed plot of maize in {S}outh-{W}est {F}rance, where the approach was tested using in situ measurements and surface soil moisture ({SSM}) maps derived from {S}entinel-1 radar data. {T}he use of in situ data showed that (1) irrigation timing was detected with a good accuracy ({F}-score in the range (80-83) for all plots) and (2) the optimal revisit time between two {SSM} observations was 2-4 days. {T}he higher uncertainties of microwave {SSM} products, especially when the crop is well developed (normalized difference of vegetation index ({NDVI}) > 0.7), degraded the score ({F}-score = 69), but various possibilities of improvement were discussed. {T}his paper opens perspectives for the irrigation detection at the plot scale over large areas and thus for the improvement of irrigation water management.}, keywords = {sprinkler ; corn ; {F}rance ; irrigation timing ; {FAO}-56 ; surface soil ; moisture ; {SAR} ; {FRANCE}}, booktitle = {}, journal = {{R}emote {S}ensing}, volume = {12}, numero = {10}, pages = {art. 1621 [22 p.]}, year = {2020}, DOI = {10.3390/rs12101621}, URL = {https://www.documentation.ird.fr/hor/fdi:010079309}, }