@article{fdi:010087324,
  title = {{S}oil texture estimation over a semiarid area using {T}erra{SAR}-{X} radar data},
  author = {{Z}ribi, {M}. and {K}otti, {F}. and {L}ili-{C}habaane, {Z}. and {B}aghdadi, {N}. and {B}en {I}ssa, {N}. and {A}mri, {R}. and {D}uchemin, {B}eno{\^i}t and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this letter, it is proposed to use {T}erra{SAR}-{X} data for analysis and estimation of soil surface texture. {O}ur study is based on experimental campaigns carried out over a semiarid area in {N}orth {A}frica. {S}imultaneously with {T}erra{SAR}-{X} radar acquisitions, ground measurements (texture, soil moisture, and roughness) were made on different test fields. {A} strong correlation is observed between soil texture and a processed signal from two radar images, with the first acquired just after a rain event and the second corresponding to dry soil conditions, acquired three weeks later. {A}n empirical relationship is proposed for the retrieval from radar signals of clay content percent. {S}oil texture mapping is proposed over the study site, which includes bare soils and olive groves.},
  keywords = {{M}apping ; modeling ; radar ; soil clay ; soil texture ; {T}erra{SAR}-{X}},
  booktitle = {},
  journal = {{IEEE} {G}eoscience and {R}emote {S}ensing {L}etters},
  volume = {9},
  numero = {3},
  pages = {353--357},
  ISSN = {1545-598{X}},
  year = {2012},
  DOI = {10.1109/lgrs.2011.2168379},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087324},
}