Sentinel-2 based mapping of soil salinity of arid soils in southeastern regions of Tunisia

Résumé

Abstract Arid and semi-arid regions are faced on soil salinization’s problem causing land degradation that’s why studies are focused on the prevention and the mitigation of this parameter in these environments. It degrades soil, limits plant growth and reduces crop productivity. Recently, the demand for rapid and economic detection of soil salinization has been rising. Remote sensing and multispectral data Sentinel_2 are used to predict and mapping soil salinity in southern Tunisia. In this study, 80 samples were collected from the soil surface (the upper 10 cm). A predictive model was constructed based on the measured soil electrical conductivity (EC) and spectral indices developed from satellite image. The results revealed that salinity index SI1, SI2 and band 3 have the highest correlation with EC. Multiple regression analysis showed a moderate accuracy with R2 = 0.42 and an RMSE = 18.3.This predictive model, special to arid and semi-arid environments, can be applied to other satellite data (Landsat 8…).

Citer ce document

Accès au document

Ce document est hébergé sur son dépôt institutionnel d'origine.

Auteur(s)

Statistiques

Consultations : 1

Téléchargements : 0