Publications des scientifiques de l'IRD

George E. B., Gomez Cécile, Kumar D. N., Dharumarajan S., Lalitha M. (2022). Impact of bare soil pixels identification on clay content mapping using airborne hyperspectral AVIRIS-NG data : spectral indices versus spectral unmixing. Geocarto International, [Early access], p. [23 p.]. ISSN 1010-6049.

Titre du document
Impact of bare soil pixels identification on clay content mapping using airborne hyperspectral AVIRIS-NG data : spectral indices versus spectral unmixing
Année de publication
2022
Type de document
Article référencé dans le Web of Science WOS:000828968500001
Auteurs
George E. B., Gomez Cécile, Kumar D. N., Dharumarajan S., Lalitha M.
Source
Geocarto International, 2022, [Early access], p. [23 p.] ISSN 1010-6049
Hyperspectral 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. This study analyzed the impact of bare soil pixel identification on clay content estimation using two methods (i) combination of two spectral indices, Normalized Difference Vegetation Index for identifying photosynthetic vegetation and Cellulose Absorption Index for non-photosynthetic vegetation and (ii) spectral unmixing for estimating fractions of soil, photosynthetic and non-photosynthetic vegetation. The study used AVIRIS-NG image and laboratory measured clay content of 272 soil samples acquired over Karnataka, India. Bare 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. This study highlighted that an improvement in prediction performance comes at the cost of reduction in spatial coverage in mapping of clay content.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Pédologie [068] ; Télédétection [126]
Description Géographique
INDE ; KARNATAKA
Localisation
Fonds IRD [F B010085996]
Identifiant IRD
fdi:010085996
Contact
  • Coordonnées :
    Mission Science Ouverte (MSO)
    IRD - Délégation régionale Île-de-France & Ouest
    Campus Condorcet - Hôtel à projets
    8 cours des Humanités - 93322 Aubervilliers Cedex
    Horizon Pleins textes
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