@article{PAR00002353,
  title = {{T}he use of high-resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central {M}orocco},
  author = {{S}imonneaux, {V}incent and {D}uchemin, {B}eno{\^i}t and {H}elson, {D}. and {E}r {R}aki, {S}. and {O}lioso, {A}. and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{A} time series of eight high-resolution {L}andsat {TM} images, ranging over the crop season, has been acquired over an irrigated area in central {M}orocco. {F}rom this time series, a {N}ormalized {D}ifference {V}egetation {I}ndex ({NDVI}) profile was generated for each pixel. {I}n order to get significant profiles, the images were radiometrically corrected, first, using invariant objects located on the scene, based on visual observation of the images, and second, using the reflectance of these objects, estimated from a previously corrected image. {I}n the following step, these {NDVI} profiles were used to identify four main crop types - bare soil, annual crops, trees on bare soil and trees on annual understory - using a decision tree algorithm. {T}he resulting land cover map and the associated {NDVI} profiles were then used for an evapotranspiration estimate over the whole area, using the {F}ood and {A}griculture {O}rganization ({FAO}) model. {D}aily outputs of the {M}oroccan meteorological model {A}ire {L}imite {A}daptation {D}ynamique dveloppement {I}nternational ({ALADIN}) were used to generate reference evapotranspiration ({ET}0) maps and {K}-c estimates were determined using the {NDVI} profiles.},
  keywords = {},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {R}emote {S}ensing},
  volume = {29},
  numero = {1},
  pages = {95--116},
  ISSN = {0143-1161},
  year = {2008},
  DOI = {10.1080/01431160701250390},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00002353},
}