@article{fdi:010088085,
  title = {{I}ndicator of flood-irrigated crops from {SMOS} and {SMAP} soil moisture products in {S}outhern {I}ndia},
  author = {{P}ascal, {C}. and {F}errant, {S}ylvain and {R}odriguez-{F}ernandez, {N}. and {K}err, {Y}. and {S}elles, {A}. and {M}erlin, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}paceborne {L}-band data have the potential to monitor flooded and irrigated areas. {H}owever, further studies are needed to assess in real cases the impact of flood-irrigated crops on soil moisture and ocean salinity ({SMOS}) and soil moisture active passive ({SMAP}) surface soil moisture ({SSM}) data. {T}his letter demonstrates the ability of {SMOS}/{SMAP} {SSM} retrievals to quantify the fraction of flood-irrigated areas at the seasonal scale and at a 25-km resolution in the {T}elangana {S}tate in southern {I}ndia. {O}ver irrigated areas, both {SMOS} level 3 ({L}3) {SSM} and {SMAP} {L}3 enhanced {SSM} products present a bimodal annual cycle, with a peak of {SSM} during the monsoon (wet) season corresponding to rainfall and irrigation, and a peak during the dry season due to irrigation activities solely. {T}he second peak is absent or has a very small amplitude in areas where rice represents a small fraction (typically below 5%-10%). {M}ore importantly, the amplitude of the second {SSM} peak is significantly correlated with the rice cover fraction within $25\times25$ km2 pixels ( ${R} = 0.81$ for {SMOS} and 0.77 for {SMAP}), showing its potential to assess crop fraction and hence the water used for irrigation. {T}he {SMOS}/{SMAP} {L}3 {SSM} peak during the dry period occurs several months before the harvest, constituting an indicator for rice stocks at the end of the season. {H}owever, the irrigation signature is absent from the {SMAP} level 4 {SSM} product derived from the assimilation of {SMAP} brightness temperatures ({T}bs) in a land surface model, which indicates that the data assimilation scheme is inefficient to restitute irrigation information.},
  keywords = {{I}rrigation ; {M}icrowave radiometry ; {L}-band ; {S}oil moisture ; {C}lassification algorithms ; {L}and surface ; {C}rops ; regional scale ; rice cropping ; soil moisture ; soil moisture active passive ({SMAP}) ; soil moisture and ocean salinity ({SMOS}) ; water management ; {INDE}},
  booktitle = {},
  journal = {{IEEE} {G}eoscience and {R}emote {S}ensing {L}etters},
  volume = {20},
  numero = {},
  pages = {4500205 [5 ]},
  ISSN = {1545-598{X}},
  year = {2023},
  DOI = {10.1109/lgrs.2023.3267825},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088085},
}