@article{fdi:010073603,
  title = {{C}ombining a two source energy balance model driven by {MODIS} and {MSG}-{SEVIRI} products with an aggregation approach to estimate turbulent fluxes over sparse and heterogeneous vegetation in {S}ahel region ({N}iger)},
  author = {{H}ssaine, {B}. {A}. and {E}zzahar, {J}. and {J}arlan, {L}ionel and {M}erlin, {O}livier and {K}habba, {S}. and {B}rut, {A}. and {E}r-{R}aki, {S}. and {E}lfarkh, {J}. and {C}appelaere, {B}ernard and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{E}stimates of turbulent fluxes (i.e., sensible and latent heat fluxes {H} and {LE}) over heterogeneous surfaces is not an easy task. {T}he heterogeneity caused by the contrast in vegetation, hydric and soil conditions can generate a large spatial variability in terms of surface-atmosphere interactions. {T}his study considered the issue of using a thermal-based two-source energy model ({TSEB}) driven by {MODIS} ({M}oderate resolution {I}maging {S}pectroradiometer) and {MSG} ({M}eteosat {S}econd {G}eneration) observations in conjunction with an aggregation scheme to derive area-averaged {H} and {LE} over a heterogeneous watershed in {N}iamey, {N}iger ({W}ankama catchment). {D}ata collected in the context of the {A}frican {M}onsoon {M}ultidisciplinary {A}nalysis ({AMMA}) program, including a scintillometry campaign, were used to test the proposed approach. {T}he model predictions of area-averaged turbulent fluxes were compared to data acquired by a {L}arge {A}perture {S}cintillometer ({LAS}) set up over a transect about 3.2 km-long and spanning three vegetation types (millet, fallow and degraded shrubs). {F}irst, {H} and {LE} fluxes were estimated at the {MSG}-{SEVIRI} grid scale by neglecting explicitly the subpixel heterogeneity. {M}oreover, the impact of upscaling the model's inputs was investigated using in-situ input data and three aggregation schemes of increasing complexity based on {MODIS} products: a simple averaging of inputs at the {MODIS} resolution scale, another simple averaging scheme that considers scintillometer footprint extent, and the weighted average of inputs based on the footprint weighting function. {T}he {H} and {LE} simulated using the footprint weighted method were more accurate than for the two other aggregation rules despite the heterogeneity of the landscape. {T}he statistical values are: correlation coefficient ({R}) = 0.71, root mean square error ({RMSE}) = 63 {W}/m(2) and mean bias error ({MBE}) = -23 {W}/m(2) for {H} and an {R} = 0.82, {RMSE} = 88 {W}/m(2) and {MBE} = 45 {W}/m(2) for {LE}. {T}his study opens perspectives for the monitoring of convective and evaporative fluxes over heterogeneous landscape based on medium resolution satellite products.},
  keywords = {{TSEB} model ; aggregation schemes ; {MODIS} ; {SEVIRI} ; non-uniform and ; heterogeneous surfaces ; regional surfaces fluxes ; scintillometry ; {NIGER} ; {SAHEL}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {10},
  numero = {6},
  pages = {974 [23 ]},
  ISSN = {2072-4292},
  year = {2018},
  DOI = {10.3390/rs10060974},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073603},
}