Salah Er-Raki

Prof. Salah Er-Raki

Laboratoire des Procédés pour l'Energie Durable et Environnement (ProcEDE), Département de PhysiqueAppliquée,Faculté des Sciences et Techniques Guéliz, Université Cadi Ayyad
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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2004 in Agricultural and Forest Meteorology
Verified
Journal Article
Closed access
DWD.G. Williams
D.G. Williams
WCW. Cable
W. Cable
KHK. Hultine
K. Hultine
JHJ.C.B. Hoedjes
J.C.B. Hoedjes
EGEnrico Arturo Yepez Gonzalez
Enrico Arturo Yepez Gonzalez
FTF. Timouk
F. Timouk

1 January 2006 in Agricultural Water Management
Verified
Journal Article
Closed access
BDB. Duchemin
B. Duchemin
RHRachid Hadria
Rachid Hadria
Salah Er-RakiSalah Er-Raki
Salah Er-Raki
Gilles BouletGilles Boulet
Gilles Boulet
PMP. Maisongrande
P. Maisongrande
VSVincent Simonneaux
Vincent Simonneaux

1 January 2007 in Agricultural Water Management
Verified
Journal Article
Closed access
Salah Er-RakiSalah Er-Raki
Salah Er-Raki
ACabdelghani chehbouni
abdelghani chehbouni
NGN. Guemouria
N. Guemouria
BDB. Duchemin
B. Duchemin
JEJamal Ezzahar
Jamal Ezzahar
RHRachid Hadria
Rachid Hadria

10 January 2008 in International Journal of Remote Sensing
Verified
Journal Article
Closed access
VSVincent Simonneaux
Vincent Simonneaux
BDB. Duchemin
B. Duchemin
DHD. Helson
D. Helson
Salah Er-RakiSalah Er-Raki
Salah Er-Raki
AOAlbert Olioso
Albert Olioso
ACabdelghani chehbouni
abdelghani chehbouni
A time series of eight high‐resolution Landsat TM images, ranging over the crop season, has been acquired over an irrigated area in central Morocco. From this time series, a Normalized Difference Vegetation Index (NDVI) profile was generated for each pixel. In 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. In 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. The resulting land cover map and the associated NDVI profiles were then used for an evapotranspiration estimate over the whole area, using the Food and Agriculture Organization (FAO) model. Daily outputs of the Moroccan meteorological model Aire Limitée Adaptation Dynamique développement International (ALADIN) were used to generate reference evapotranspiration (ET0) maps and K c estimates were determined using the NDVI profiles.


1 June 2018 in Remote Sensing of Environment
Verified
Journal Article
Closed access
AAAbdelhakim Amazirh
Abdelhakim Amazirh
OMOlivier Merlin
Olivier Merlin
Salah Er-RakiSalah Er-Raki
Salah Er-Raki
QGQi Gao
Qi Gao
Rivalland VincentRivalland Vincent
Rivalland Vincent
MEMaria Jose Escorihuela
Maria Jose Escorihuela