This project
is financed
by the


Implementing partner:

University of Sassari


Training course on Spectoradiometric

Teacher: Maria Teresa Melis, University of Cagliari

The training course was held on-site in 34 locations of the Jeffara - Dahar area of the southearstern Tunisia and consisted of a hands-on Spectroradiometric Measurements field survey. It has been carried out within the WADIS-MAR study area of the extended hydrogeological basin of Oum Zessar, in the northern Medenine Governorate area, from the 16th to 19th June, 2014. 
Nine participants with various backgrounds attended the course (geologists, hydrogeologists, geographers, pedologists) of which 45% were females and 55% were males.
The campaign included: (1) a theoretical training addressed to project partners’ staff aiming at providing the basic principles of the method and establishment of sampling points and the technical aspects of the instrument; (2) a field training on the methodology of investigation and hands-on in-situ collection of spectral signatures of saline crusts and sand - encroachment areas, halophyte and psamophyte vegetation with an ASD FieldSpec 3 Jr. Full Range (350 – 2500 nm).
This type of spectroradiometer is ideal for a wide range of applications, including hyperspectral image interpretation, crops and soils research and radiometric calibration. The measurements have been carried out according to standard protocol, with the compilation of Field Spectroradiometer Sheet, supplemented by land cover, land use, geomorphological and geological observations. The outputs of the campaign were used for the ground truthing and image validation of multispectral data, constructing a spectral signatures’ database of minerals to be integrated with data obtained from the processing of remotely sensed data. The objective was to explain and instruct the attendees on a methodology which allows accurate mapping of the spatial distribution of salt – affected soils and areas of sand accumulation and the temporal dynamics of these processes, as they represent a constrain for agriculture and need constant monitoring for decision-making models.


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