European Academic Research ISSN 2286-4822
ISSN-L 2286-4822
Impact Factor: 3.4546 (UIF)
DRJI Value : 5.9 (B+)
Article Details :
Article Name :
Using Vis-NIR hyperspectral HYPERION data for bare soil properties mapping over Mediterranean area: plain of the Oued Milyan, Tunisia
Author Name :
ANIS GASMI, CECILE GOMEZ, HEDI ZOUARIC, ANTOINE MASSE, DANIELLE DUCROT
Publisher :
Bridge Center
Article URL :
Abstract :
Visible, near-infrared and short wave infrared (VNIR/SWIR, 400-2500 nm) Laboratory spectroscopy has been proven as a good alternative to costly physical and chemical soil analysis for the estimation of a large range of soil properties. Moreover the number of studies using VNIR/SWIR hyperspectral airborne imaging in topsoil property mapping has also increased and VNIR/SWIR hyperspectral airborne imagery is now considered as promising technology for increasing the accuracy of digital map of topsoil properties. Nevertheless, the significant potential of the VNIR/SWIR hyperspectral imagery for mapping topsoil properties has been showed from airborne data collected with high spatial resolution (~5 m) and high signal-to-noise ratio (SNR). The purpose of this work is to determine if VNIR/SWIR hyperspectral imagery by Hyperion satellite (spatial resolution of 30m and SNR~50:1) sensor can be used for topsoil properties mapping. This study focused on a Mediterranean area of 210 km² (plain of the Oued Milyan, Tunisia), and the estimation of two soil properties useful to study the risk of soil erosion from water: clay and calcium carbonate (CaCO3). The predicted clay and CaCO3 content maps were obtained using the partial least squares regression (PLSR) method. Hundred and twenty four soil samples were used to calibrate and validate the prediction models of clay and calcium carbonate content. The large area (210 km²) of the studied region allows analysis of pedological patterns in terms of soil composition and spatial structures. Our results showed that Hyperion satellite data may be used to map clay and calcium carbonate contents over bare soils, with respectively R²val of 0.71 and R²val of 0.79. Finally, the Hyperion satellite data offers an alternative method for digital mapping of soil properties over large areas at interesting spatial resolution (30 m).
Keywords :
hyperspectral satellite remote sensing, Hyperion, partial least-squares regression, digital soil mapping, Clay, Calcium carbonate.

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