Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands - IRD - Institut de recherche pour le développement Access content directly
Journal Articles Remote Sensing Year : 2015

Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands


Clay content (fraction < 2 µm) is one of the most important soil properties. It controls soil hydraulic properties like wilting point, field capacity and saturated hydraulic conductivity, which in turn control the various fluxes of water in the unsaturated zone. In our study site, the Kairouan plain in central Tunisia, existing soil maps are neither exhaustive nor sufficiently precise for water balance modeling or thematic mapping. The aim of this work was to produce a clay-content map at fine spatial resolution over the Kairouan plain using a time series of Landsat Thematic Mapper images and to validate the produced map using independent soil samples, existing soil map and clay content produced by TerraSAR-X radar data. Our study was based on 100 soil samples and on a dataset of four Landsat TM data acquired during the summer season. Relationships between textural indices (MID-Infrared) and topsoil clay content were studied for each selected image and were used to produce clay content maps at a spatial resolution of 30 m. Cokriging was used to fill in the gaps created by green vegetation and crop residues masks and to predict clay content of each pixel of the image at 100 m grid spatial resolution. Results showed that mapping clay content using a OPEN ACCESS Remote Sens. 2015, 7 6060 time series of Landsat TM data is possible and that the produced clay content map presents a reasonable accuracy (R 2 = 0.65, RMSE = 100 g/kg). The produced clay content map is consistent with existing soil map of the studied region. Comparison with clay content map generated from TerraSAR-X radar data on a small area with no calibration point revealed similarities in topsoil clay content over the largest part of this extract, but significant differences for several areas. In-situ observations at those locations showed that the Landsat TM mapping was more consistent with observations than the TerraSAR-X mapping.
Fichier principal
Vignette du fichier
2015_Shabou_Remote Sens_1.pdf (18.81 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

ird-01180018 , version 1 (28-05-2020)





Marouen Shabou, Bernard Mougenot, Christian Walter, Gilles Boulet, Mehrez Zribi. Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands. Remote Sensing, 2015, 7 (5), pp.6059-6078. ⟨10.3390/rs70506059⟩. ⟨ird-01180018⟩
295 View
59 Download



Gmail Facebook Twitter LinkedIn More