@article{fdi:010084646,
  title = {{S}oil salinity detection and mapping in an environment under water stress between 1984 and 2018 ({C}ase of the largest oasis in {A}frica-{M}orocco)},
  author = {{R}afik, {A}. and {I}bouh, {H}. and {E}l {F}els, {A}. {E}. and {E}ddahby, {L}. and {M}ezzane, {D}. and {B}ousfoul, {M}. and {A}mazirh, {A}. and {O}uhamdouch, {S}. and {B}ahir, {M}. and {G}ourfi, {A}. and {D}hiba, {D}. and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{W}ater stress is one of the factors controlling agricultural land salinization and is also a major problem worldwide. {A}ccording to {FAO} and the most recent estimates, it already affects more than 400 million hectares. {T}he {T}afilalet plain in {S}outheastern {M}orocco suffers from soil salinization. {I}n this regard, the {GIS} tools and remote sensing were used in the processing of 19 satellite images acquired from {L}andsat 4-5, ({L}andsat 7), ({L}andsat 8), and ({S}entinel 2) sensors. {T}he most used indices in the literature were (16 indices) tested and correlated with the results obtained from 25 samples taken from the first soil horizon at a constant depth of 0.20 m from the 2018 campaign. {T}he linear model, at first, allows the selection of five better indices of the soil salinity discrimination ({SI}-{K}han, {VSSI}, {BI}, {S}3, and {SI}-{D}ehni). {T}hese last indices were the subject of the application of a logarithmic model and polynomial models of degree two and four to increase the prediction of saline soil.. {A}fter studies and analysis, we concluded that the second-degree polynomial model of the salinity index ({SI}-{KHAN}) is the most efficient one for detecting and mapping soil salinity in the {T}afilalet oasis, with a coefficient of determination ({R}-2) and the {N}ash-{S}utcliffe efficiency ({NSE}) equal to 0.93 and 0.86, respectively. {P}ercent bias ({PBIAS}) calculated for this model equal was 1.868% < 10%, and the low value of the root mean square error ({RMSE}) confirms its very good performance. {T}he drought cyclicity led to the intensification of the soil salinization process and accelerated soil degradation. {T}he standardized precipitation anomaly index ({SPAI}) is strongly correlated to soil salinity. {T}he hydroclimate condition is the factor that further controls this phenomenon. {A}n increase in salinized surfaces is observed during the periods of 1984-1996 and 2000-2005, which cover a surface of 11.50 and 24.20 km(2), respectively, while a decrease of about 50% is observed during the periods of 1996-2000 and 2005-2018.},
  keywords = {water stress ; {T}afilalet oasis ; soil salinization ; {L}andsat ; {S}entinel 2 ; drought ; {T}afilalet {O}asis ; {MAROC} ; {TAFILALET} {PLAINE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {14},
  numero = {7},
  pages = {1606 [17 p.]},
  year = {2022},
  DOI = {10.3390/rs14071606},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084646},
}