@article{fdi:010085996,
  title = {{I}mpact of bare soil pixels identification on clay content mapping using airborne hyperspectral {AVIRIS}-{NG} data : spectral indices versus spectral unmixing},
  author = {{G}eorge, {E}. {B}. and {G}omez, {C}{\'e}cile and {K}umar, {D}. {N}. and {D}harumarajan, {S}. and {L}alitha, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{H}yperspectral imaging spectroscopy has facilitated the mapping of soil properties at large scales, but since the presence of photosynthetic or non-photosynthetic vegetation affects the reflectance spectra, soil properties mapping is limited to bare soil surfaces. {T}his study analyzed the impact of bare soil pixel identification on clay content estimation using two methods (i) combination of two spectral indices, {N}ormalized {D}ifference {V}egetation {I}ndex for identifying photosynthetic vegetation and {C}ellulose {A}bsorption {I}ndex for non-photosynthetic vegetation and (ii) spectral unmixing for estimating fractions of soil, photosynthetic and non-photosynthetic vegetation. {T}he study used {AVIRIS}-{NG} image and laboratory measured clay content of 272 soil samples acquired over {K}arnataka, {I}ndia. {B}are soil pixels were identified using the two methods and performances of partial least squares regression ({PLSR}) models used to estimate the clay contents and the predicted clay content maps were analyzed and compared. {PLSR} model based on bare soil pixels identified by unmixing provided slightly better performances ({R}-val(2) of 0.61) than spectral indices ({R}-val(2) of 0.46), even though the percentage of study area mapped was reduced by half. {T}his study highlighted that an improvement in prediction performance comes at the cost of reduction in spatial coverage in mapping of clay content.},
  keywords = {{AVIRIS}-{NG} ; clay content ; bare soil selection ; spectral unmixing ; spectral indices ; {INDE} ; {KARNATAKA}},
  booktitle = {},
  journal = {{G}eocarto {I}nternational},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[23 p.]},
  ISSN = {1010-6049},
  year = {2022},
  DOI = {10.1080/10106049.2022.2102241},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085996},
}