@article{fdi:010067794,
  title = {{A}nalysis and mapping of the spectral characteristics of fractional green cover in saline wetlands ({NE} {S}pain) using field and remote sensing data},
  author = {{D}ominguez-{B}eisiegel, {M}. and {C}astaneda, {C}. and {M}ougenot, {B}ernard and {H}errero, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}nland saline wetlands are complex systems undergoing continuous changes in moisture and salinity and are especially vulnerable to human pressures. {R}emote sensing is helpful to identify vegetation change in semi-arid wetlands and to assess wetland degradation. {R}emote sensing-based monitoring requires identification of the spectral characteristics of soils and vegetation and their correspondence with the vegetation cover and soil conditions. {W}e studied the spectral characteristics of soils and vegetation of saline wetlands in {M}onegros, {NE} {S}pain, through field and satellite images. {R}adiometric and complementary field measurements in two field surveys in 2007 and 2008 were collected in selected sites deemed as representative of different soil moisture, soil color, type of vegetation, and density. {D}espite the high local variability, we identified good relationships between field spectral data and {Q}uickbird images. {A} methodology was established for mapping the fraction of vegetation cover in {M}onegros and other semi-arid areas. {E}stimating vegetation cover in arid wetlands is conditioned by the soil background and by the occurrence of dry and senescent vegetation accompanying the green component of perennial salt-tolerant plants. {N}ormalized {D}ifference {V}egetation {I}ndex ({NDVI}) was appropriate to map the distribution of the vegetation cover if the green and yellow-green parts of the plants are considered.},
  keywords = {arid wetlands ; field spectrometry ; green fraction cover ; {NDVI} ; halophytes ; playa-lakes ; {R}amsar wetlands ; soil salinity ; {ESPAGNE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {8},
  numero = {7},
  pages = {art. 590 [18 p.]},
  ISSN = {2072-4292},
  year = {2016},
  DOI = {10.3390/rs8070590},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067794},
}