Call Deadline Date
12/10/2021
Initial Date
12/10/2021
End Date
14/10/2021
Status
CLOSE
Required knowledges and skills
Basic knowledge in ecology, soil science and/or agronomy will be needed. Skills in statistics and GIS will be highly appreciated
Objectives
The internship is focused on smart technology application skills development of environmental and agroecological monitoring from field and lab investigation till GIS, RS, IoT and/or DSS implementation in the LAMP monitoring sites
Short course modules
General introduction:
Module 1: UAV based photogrammetry utilizing Agisoft Metashape Pro
Lecturer: Alex Yaroslavtsev(Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 2: Introduction to R language
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 3: Exploring techniques of raster data analysis in QGIS
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 4: Assessing forest biomass features utilising photogrammetry results and R language
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Module 5. Extrapolating individual tree real time monitoring data from TreeTalker devices to
remotely assessed spatial data
Lecturer: Alex Yaroslavtsev (Data analysis in ecology and soil science, ecosystem production
modelling, statistics, geostatistics)
Internship activities
Investigated in the Laboratory of Agroecological Monitoring, Ecosystem Modeling and Prediction (LAMP) natural forest, agricultural, urban and wetland monitoring sites give convenient environment to develop personal skills in the smart technologies of environmental and agroecological monitoring from detailed field and modern lab investigation till GIS, RS, IoT and/or DSS implementation in the LAMP monitoring sites which are representative for principal natural and functional zones at the Central Region of Russia including Moscow megalopolis, Central Forest and Central Chernozemic Reserves. The internship activities will include monitoring green house gases’ fluxes and soil migration, chemical, physical and biological properties of natural and man-changed soils, state and functions of crops, natural and/or urban vegetation. Especial attention will be given to data analysis with modern tools of GS, RS, GIS and DSS up to paper draft and/or recommendation for practice developing.
Additional notes
Due to COVID limitations, the internship is considered both in online or offline formats considering the limitations existing by the call announcement.
TAURUS
Internship Overview
Russian Timiryazev State Agrarian University
Academic coordinator
Ivan Vasenev
( vasenev@rgau-msha.ru)
Academic Tutor
Alex Yaroslavtsev
( yaroslavtsevam@gmail.com)
Company
World-class scientific center "Agrotechnologies of the Future"
Hosting Institution Tutor
Alex Skuratov
( askuratov@rgau-msha.ru)