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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