Remote and proximal sensing

Application of ‘Remote and proximal sensing’ to monitoring of biotic and abiotic diseases and germplasm identification and characterisation.

Remote sensing is a technique which allows collecting and interpreting geospatial data from the Earth’s surface,  the oceans and the atmosphere by using electromagnetic radiation as an information vector from the object under investigation to the sensor. The observer’s distance from the information collected can range from a few metres (Proximal Sensing) to some thousands of kilometres (Remote Sensing), as it is the case when satellites are used.

This research is directed towards analysing high-resolution satellite images coupled with ground-based spectroradiometry measurements. More specifically, this technique will support the spectral characterisation of different target plant species through the application of vegetation indices, the use of techniques for the atmosphere correction, the correlation of the reflectance variation of the target species with regard to their phonological stage and/or health status (biotic and/or abiotic stress) and finally, the integration and management of data and findings resulting form other complementary GIS (Geographic Information System) investigations. Based on the evaluation of this set of data the research is intended to identify areas (even wide areas) exposed to a risks of infection and to carry out spatio/temporal analyses to identify the infection/infestation evolution and spread patterns.


Starting: 1.01.2007
Scheduled ending: 31.12.2015
Real ending: 20.06.2019
Reference person/s: D'Onghia Anna Maria / Gualano Stefania / Santoro Franco /
Thesis: Development of the main citrus vegetation indices associated to citrus tristeza virus-infected trees using the ground-based sensor technique
The potential of spectroradiometry and multispectral satellite imagery for the assessment of citrus tristeza infection
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