Project ID: 22IRF‐04 (2022-2027) “Developing the methods of acquiring and analyzing the spectral signatures of natural and anthropogenic objects based of ultra-high-resolution remote sensing data” funded by the State Committee of Sciences of the Ministry of ESCS of Armenia, in frames of the Consolidate Armenia Research Fellowship program
 

Principal Investigator: Dr. Andrey Medvedev 

International Collaboration: Prof. William Gareth Rees, Scott Polar Research Institute (SPRI), University of Cambridge, UK

Funded by - Call: Consolidate Armenia Research Fellowship, The Committee of Higher Education and Science of the Ministry of Education, Science, Culture and Sport of Armenia

The aim of this project is to develop and test the methodology for obtaining and analyzing spectral characteristics of natural-anthropogenic objects to recognize various objects and phenomena based on the processing of data obtained during remote sensing from unmanned aerial vehicles (UAV) and ground-based spectroradiometers.

As experimental test objects and phenomena will be studied and investigated: vegetation objects and their structural and functional characteristics at the level of individual species of tree and shrub vegetation, high-altitude tiers of plant communities and terrestrial ecosystems as a whole, water objects of various types, sources of environmental pollution, anthropogenic objects.

The methodology includes the development and justification of airborne and ground-based survey technologies (field VIS-NIR) spectroscopy) depending on the specifics of the object of study and scale level, methods of automated and semi-automated (including visual) interpretation based on the results of optical, multispectral (including thermal) imagery and ground-based spectrometry. The data obtained and the results of their analysis will be presented as a database of spectral characteristics of objects, which will contribute to the development of automated methods of object detection based on ultra-high spatial resolution data.