@article{fdi:010092431,
  title = {{M}apping deep percolation using remote sensing over an irrigated area in the {H}aouz plain ({M}arrakech, {M}orocco)},
  author = {{N}assah, {H}. and {E}r-{R}aki, {S}. and {F}akir, {Y}. and {S}imonneaux, {V}incent and {D}iarra, {A}. and {K}habba, {S}. and {C}hehbouni, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his study aims to estimate the spatial deep percolation ({DP}) by combining remote sensing data and {SAMIR} ({SA}tellite {M}onitoring of {IR}rigation) tool. {I}n this study, {DP} was derived as the residual component of water balance in the root zone.


{T}he {I}ndirect computation of water balance requires climate data (reference evapotranspiration ({ET}0) and rainfall), land cover, crop coefficient derived from normalized difference vegetation index ({NDVI}), and hydrodynamic soil parameters


like soil moisture at field capacity and the wilting point. {T}he main water balance component is evapotranspiration. {I}t is spatialized based on the {FAO}-56 approach and the relationship between crop coefficient and {NDVI}. {T}his approach was tested


over an irrigated area in the {H}aouz plain during the agricultural period (2011-2012). {T}he results showed that {DP} followed water supply fluctuations (sum of rainfall and irrigation provided by the manager, {ORMVAH}). {H}igh {DP} values are observed


during heavy rainfall in {M}arch (around 36, 27, and 20 mm) for sugar beet, wheat, and olive trees, respectively. {H}owever, from {A}pril to {J}une, the vegetation cover was exposed to high water stress for the rest of the season mainly due to the mismatch of water supply.},
  keywords = {{MAROC} ; {MARRAKECH} ; {HAOUZ} {PLAINE}},
  booktitle = {},
  journal = {{A}cta {H}orticulturae},
  volume = {1335},
  numero = {},
  pages = {371--379},
  ISSN = {0567-7572},
  year = {2022},
  DOI = {10.17660/actahortic.2022.1335.46},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092431},
}